FDA PreCheck and the Geography of Regulatory Trust

On August 7, 2025, FDA Commissioner Marty Makary announced a program that, on its surface, appears to be a straightforward effort to strengthen domestic pharmaceutical manufacturing. The FDA PreCheck initiative promises “regulatory predictability” and “streamlined review” for companies building new U.S. drug manufacturing facilities. It arrives wrapped in the language of national security—reducing dependence on foreign manufacturing, securing critical supply chains, ensuring Americans have access to domestically-produced medicines.

This is the story the press release tells.

But if you read PreCheck through the lens of falsifiable quality systems a different narrative emerges. PreCheck is not merely an economic incentive program or a supply chain security measure. It is, more fundamentally, a confession.

It is the FDA admitting that the current Pre-Approval Inspection (PAI) and Pre-License Inspection (PLI) model—the high-stakes, eleventh-hour facility audit conducted weeks before the PDUFA date—is a profoundly inefficient mechanism for establishing trust. It is an acknowledgment that evaluating a facility’s “GMP compliance” only in the context of a specific product application, only after the facility is built, only when the approval clock is ticking, creates a system where failures are discovered at the moment when corrections are most expensive and most disruptive.

PreCheck proposes, instead, that the FDA should evaluate facilities earlier, more frequently, and independent of the product approval timeline. It proposes that manufacturers should be able to earn regulatory confidence in their facility design (Phase 1: Facility Readiness) before they ever file a product application, and that this confidence should carry forward into the application review (Phase 2: CMC streamlining).

This is not revolutionary. This is mostly how the European Medicines Agency (EMA) already works. This is the logic behind WHO Prequalification’s phased inspection model. This is the philosophy embedded in PIC/S risk-based inspection planning.

What is revolutionary—at least for the FDA—is the implicit admission that a manufacturing facility is not a binary state (compliant/non-compliant) evaluated at a single moment in time, but rather a developmental system that passes through stages of maturity, and that regulatory oversight should be calibrated to those stages.

This is not a cheerleading piece for PreCheck. It is an analysis of what PreCheck reveals about the epistemology of regulatory inspection, and a call for a more explicit, more testable framework for what it means for a facility to be “ready.” I also have concerns about the ability of the FDA to carry this out, and the dangers of on-going regulatory capture that I won’t really cover here.

Anatomy of PreCheck—What the Program Actually Proposes

The Two-Phase Structure

PreCheck is built on two complementary phases:

Phase 1: Facility Readiness
This phase focuses on early engagement between the manufacturer and the FDA during the facility’s design, construction, and pre-production stages. The manufacturer is encouraged—though not required, as the program is voluntary—to submit a Type V Drug Master File (DMF) containing:

  • Site operations layout and description
  • Pharmaceutical Quality System (PQS) elements
  • Quality Management Maturity (QMM) practices
  • Equipment specifications and process flow diagrams

This Type V DMF serves as a “living document” that can be incorporated by reference into future drug applications. The FDA will review this DMF and provide feedback on facility design, helping to identify potential compliance issues before construction is complete.

Michael Kopcha, Director of the FDA’s Office of Pharmaceutical Quality (OPQ), clarified at the September 30 public meeting that if a facility successfully completes the Facility Readiness Phase, an inspection may not be necessary when a product application is later filed.

This is the core innovation: decoupling facility assessment from product application.

Phase 2: Application Submission
Once a product application (NDA, ANDA, or BLA) is filed, the second phase focuses on streamlining the Chemistry, Manufacturing, and Controls (CMC) section of the application. The FDA offers:

  • Pre-application meetings
  • Early feedback on CMC data needs
  • Facility readiness and inspection planning discussions

Because the facility has already been reviewed in Phase 1, the CMC review can proceed with greater confidence that the manufacturing site is capable of producing the product as described in the application.

Importantly, Kopcha also clarified that only the CMC portion of the review is expedited—clinical and non-clinical sections follow the usual timeline. This is a critical limitation that industry stakeholders noted with some frustration, as it means PreCheck does not shorten the overall approval timeline as much as initially hoped.

What PreCheck Is Not

To understand what PreCheck offers, it is equally important to understand what it does not offer:

It is not a fast-track program. PreCheck does not provide priority review or accelerated approval pathways. It is a facility-focused engagement model, not a product-focused expedited review.

It is not a GMP certificate. Unlike the European system, where facilities can obtain a GMP certificate independent of any product application, PreCheck still requires a product application to trigger Phase 2. The Facility Readiness Phase (Phase 1) provides early engagement, but does not result in a standalone “facility approval” that can be referenced by multiple products or multiple sponsors.

It is not mandatory. PreCheck is voluntary. Manufacturers can continue to follow the traditional PAI/PLI pathway if they prefer.

It does not apply to existing facilities (yet). PreCheck is designed for new domestic manufacturing facilities. Industry stakeholders have requested expansion to include existing facility expansions and retrofits, but the FDA has not committed to this.

It does not decouple facility inspections from product approvals. Despite industry’s strong push for this—Big Pharma executives from Eli Lilly, Merck, and others explicitly requested at the public meeting that the FDA adopt the EMA model of decoupling GMP inspections from product applications—the FDA has not agreed to this. Phase 1 provides early feedback, but Phase 2 still ties the facility assessment to a specific product application.

The Type V DMF as the Backbone of PreCheck

The Type V Drug Master File is the operational mechanism through which PreCheck functions.

Historically, Type V DMFs have been a catch-all category for “FDA-accepted reference information” that doesn’t fit into the other DMF types (Type II for drug substances, Type III for packaging, Type IV for excipients). They have been used primarily for device constituent parts in combination products.

PreCheck repurposes the Type V DMF as a facility-centric repository. Instead of focusing on a material or a component, the Type V DMF in the PreCheck context contains:

  • Facility design: Layouts, flow diagrams, segregation strategies
  • Quality systems: Change control, deviation management, CAPA processes
  • Quality Management Maturity: Evidence of advanced quality practices beyond CGMP minimum requirements
  • Equipment and utilities: Specifications, qualification status, maintenance programs

The idea is that this DMF becomes a reusable asset. If a manufacturer builds a facility and completes the PreCheck Facility Readiness Phase, that facility’s Type V DMF can be referenced by multiple product applications from the same sponsor. This reduces redundant submissions and allows the FDA to build institutional knowledge about a facility over time.

However—and this is where the limitations become apparent—the Type V DMF is sponsor-specific. If the facility is a Contract Manufacturing Organization (CMO), the FDA has not clarified how the DMF ownership works or whether multiple API sponsors using the same CMO can leverage the same facility DMF. Industry stakeholders raised this as a significant concern at the public meeting, noting that CMOs account for approximately 50% of all facility-related CRLs.

The Type V DMF vs. Site Master File: Convergent Evolutions in Facility Documentation

The Type V DMF requirement in PreCheck bears a striking resemblance—and some critical differences—to the Site Master File (SMF) required under EU GMP and PIC/S guidelines. Understanding this comparison reveals both the potential of PreCheck and its limitations.

What is a Site Master File?

The Site Master File is a GMP documentation requirement in the EU, mandated under Chapter 4 of the EU GMP Guideline. PIC/S provides detailed guidance on SMF preparation in document PE 008-4. The SMF is:

  • facility-centric document prepared by the pharmaceutical manufacturer
  • Typically 25-30 pages plus appendices, designed to be “readable when printed on A4 paper”
  • living document that is part of the quality management system, updated regularly (recommended every 2 years)
  • Submitted to regulatory authorities to demonstrate GMP compliance and facilitate inspection planning

The purpose of the SMF is explicit: to provide regulators with a comprehensive overview of the manufacturing operations at a named site, independent of any specific product. It answers the question: “What GMP activities occur at this location?”

Required SMF Contents (per PIC/S PE 008-4 and EU guidance):

  1. General Information: Company name, site address, contact information, authorized manufacturing activities, manufacturing license copy
  2. Quality Management System: QA/QC organizational structure, key personnel qualifications, training programs, release procedures for Qualified Persons
  3. Personnel: Number of employees in production, QC, QA, warehousing; reporting structure
  4. Premises and Equipment: Site layouts, room classifications, pressure differentials, HVAC systems, major equipment lists
  5. Documentation: Description of documentation systems (batch records, SOPs, specifications)
  6. Production: Brief description of manufacturing operations, in-process controls, process validation policy
  7. Quality Control: QC laboratories, test methods, stability programs, reference standards
  8. Distribution, Complaints, and Product Recalls: Systems for handling complaints, recalls, and distribution controls
  9. Self-Inspection: Internal audit programs and CAPA systems

Critically, the SMF is product-agnostic. It describes the facility’s capabilities and systems, not specific product formulations or manufacturing procedures. An appendix may list the types of products manufactured (e.g., “solid oral dosage forms,” “sterile injectables”), but detailed product-specific CMC information is not included.

How the Type V DMF Differs from the Site Master File

The FDA’s Type V DMF in PreCheck serves a similar purpose but with important distinctions:

Similarities:

  • Both are facility-centric documents describing site operations, quality systems, and GMP capabilities
  • Both include site layouts, equipment specifications, and quality management elements
  • Both are intended to facilitate regulatory review and inspection planning
  • Both are living documents that can be updated as the facility changes

Critical Differences:

DimensionSite Master File (EU/PIC/S)Type V DMF (FDA PreCheck)
Regulatory StatusMandatory for EU manufacturing licenseVoluntary (PreCheck is voluntary program)
Independence from ProductsFully independent—facility can be certified without any product applicationPartially independent—Phase 1 allows early review, but Phase 2 still ties to product application
OwnershipFacility owner (manufacturer or CMO)Sponsor-specific—unclear for CMO facilities with multiple clients
Regulatory OutcomeCan support GMP certificate or manufacturing license independent of product approvalsDoes not result in standalone facility approval; only facilitates product application review
ScopeDescribes all manufacturing operations at the siteFocused on specific facility being built, intended to support future product applications from that sponsor
International RecognitionHarmonized internationally—PIC/S member authorities recognize each other’s SMF-based inspectionsFDA-specific—no provision for accepting EU GMP certificates or SMFs in lieu of PreCheck participation
Length and Detail25-30 pages plus appendices, designed for concisenessNo specified page limit; QMM practices component could be extensive

The Critical Gap: Product-Specificity vs. Facility Independence

The most significant difference lies in how the documents relate to product approvals.

In the EU system, a manufacturer submits the SMF to the National Competent Authority (NCA) as part of obtaining or maintaining a manufacturing license. The NCA inspects the facility and, if compliant, grants a GMP certificate that is valid across all products manufactured at that site.

When a Marketing Authorization Application (MAA) is later filed for a specific product, the CHMP can reference the existing GMP certificate and decide whether a pre-approval inspection is needed. If the facility has been recently inspected and found compliant, no additional inspection may be required. The facility’s GMP status is decoupled from the product approval.

The FDA’s Type V DMF in PreCheck does not create this decoupling. While Phase 1 allows early FDA review of the facility design, the Type V DMF is still tied to the sponsor’s product applications. It is not a standalone “facility certificate.” Multiple products from the same sponsor can reference the same Type V DMF, but the FDA has not clarified whether:

  • The DMF reduces the need for PAIs/PLIs on second, third, and subsequent products from the same facility
  • The DMF serves any function outside of the PreCheck program (e.g., for routine surveillance inspections)

At the September 30 public meeting, industry stakeholders explicitly requested that the FDA adopt the EU GMP certificate model, where facilities can be certified independent of product applications. The FDA acknowledged the request but did not commit to this approach.

Confidentiality: DMFs Are Proprietary

The Type V DMF operates under FDA’s DMF confidentiality rules (21 CFR 314.420). The DMF holder (the manufacturer) authorizes the FDA to reference the DMF when reviewing a specific sponsor’s application, but the detailed contents are not disclosed to the sponsor or to other parties. This protects proprietary manufacturing information, especially important for CMOs who serve competing sponsors.

However, PreCheck asks manufacturers to include Quality Management Maturity (QMM) practices in the Type V DMF—information that goes beyond what is typically in a DMF and beyond what is required in an SMF. As discussed earlier, industry is concerned that disclosing advanced quality practices could create new regulatory expectations or vulnerabilities. This tension does not exist with SMFs, which describe only what is required by GMP, not what is aspirational.

Could the FDA Adopt a Site Master File Model?

The comparison raises an obvious question: Why doesn’t the FDA simply adopt the EU Site Master File requirement?

Several barriers exist:

1. U.S. Legal Framework

The FDA does not issue facility manufacturing licenses the way EU NCAs do. In the U.S., a facility is “approved” only in the context of a specific product application (NDA, ANDA, BLA). The FDA has establishment registration (Form FDA 2656), but registration does not constitute approval—it is merely notification that a facility exists and intends to manufacture drugs[not in sources but common knowledge].

To adopt the EU GMP certificate model, the FDA would need either:

  • Statutory authority to issue facility licenses independent of product applications, or
  • A regulatory framework that allows facilities to earn presumption of compliance that carries across multiple products

Neither currently exists in U.S. law.

2. FDA Resource Model

The FDA’s inspection system is application-driven. PAIs and PLIs are triggered by product applications, and the cost is implicitly borne by the applicant through user fees. A facility-centric certification system would require the FDA to conduct routine facility inspections on a 1-3 year cycle (as the EMA/PIC/S model does), independent of product filings.

This would require:

  • Significant increases in FDA inspector workforce
  • A new fee structure (facility fees vs. application fees)
  • Coordination across CDER, CBER, and Office of Inspections and Investigations (OII)

PreCheck sidesteps this by keeping the system voluntary and sponsor-initiated. The FDA does not commit to routine re-inspections; it merely offers early engagement for new facilities.

3. CDMO Business Model Complexity

Approximately 50% of facility-related CRLs involve Contract Development and Manufacturing Organizations. CDMOs manufacture products for dozens or hundreds of sponsors. In the EU, the CMO has one GMP certificate that covers all its operations, and each sponsor references that certificate in their MAAs.

In the U.S., each sponsor’s product application is reviewed independently. If the FDA were to adopt a facility certificate model, it would need to resolve:

  • Who pays for the facility inspection—the CMO or the sponsors?
  • How are facility compliance issues (OAIs, warning letters) communicated across sponsors?
  • Can a facility certificate be revoked without blocking all pending product applications?

These are solvable problems—the EU has solved them—but they require systemic changes to the FDA’s regulatory framework.

The Path Forward: Incremental Convergence

The Type V DMF in PreCheck is a step toward the Site Master File model, but it is not yet there. For PreCheck to evolve into a true facility-centric system, the FDA would need to:

  1. Decouple Phase 1 (Facility Readiness) from Phase 2 (Product Application), allowing facilities to complete Phase 1 and earn a facility certificate or presumption of compliance that applies to all future products from any sponsor using that facility.
  2. Standardize the Type V DMF content to align with PIC/S SMF guidance, ensuring international harmonization and reducing duplicative submissions for facilities operating in multiple markets.
  3. Implement routine surveillance inspections (every 1-3 years) for facilities that have completed PreCheck, with inspection frequency adjusted based on compliance history (the PIC/S risk-based model). The major difference here probably would be facilities not yet engaged in commercial manufacturing.
  4. Enhance Participation in PIC/S inspection reliance, accepting EU GMP certificates and SMFs for facilities that have been recently inspected by PIC/S member authorities, and allowing U.S. Type V DMFs to be recognized internationally.

The industry’s message at the PreCheck public meeting was clear: adopt the EU model. Whether the FDA is willing—or able—to make that leap remains to be seen.

Quality Management Maturity (QMM): The Aspirational Component

Buried within the Type V DMF requirement is a more ambitious—and more controversial—element: Quality Management Maturity (QMM) practices.

QMM is an FDA initiative (led by CDER) that aims to promote quality management practices that go beyond CGMP minimum requirements. The FDA’s QMM program evaluates manufacturers on a maturity scale across five practice areas:

  1. Quality Culture and Management Commitment
  2. Risk Management and Knowledge Management
  3. Data Integrity and Information Systems
  4. Change Management and Process Control
  5. Continuous Improvement and Innovation

The QMM assessment uses a pre-interview questionnaire and interactive discussion to evaluate how effectively a manufacturer monitors and manages quality. The maturity levels range from Undefined (reactive, ad hoc) to Optimized (proactive, embedded quality culture).

The FDA ran two QMM pilot programs between October 2020 and March 2022 to test this approach. The goal is to create a system where the FDA—and potentially the market—can recognize and reward manufacturers with mature quality systems that focus on continuous improvement rather than reactive compliance.

PreCheck asks manufacturers to include QMM practices in their Type V DMF. This is where the program becomes aspirational.

At the September 30 public meeting, industry stakeholders described submitting QMM information as “risky”. Why? Because QMM is not fully defined. The assessment protocol is still in development. The maturity criteria are not standardized. And most critically, manufacturers fear that disclosing information about their quality systems beyond what is required by CGMP could create new expectations or new vulnerabilities during inspections.

One attendee noted that “QMS information is difficult to package, usually viewed on inspection”. In other words, quality maturity is something you demonstrate through behavior, not something you document in a binder.

The FDA’s inclusion of QMM in PreCheck reveals a tension: the agency wants to move beyond compliance theater—beyond the checkbox mentality of “we have an SOP for that”—and toward evaluating whether manufacturers have the organizational discipline to maintain control over time. But the FDA has not yet figured out how to do this in a way that feels safe or fair to industry.

This is the same tension I discussed in my August 2025 post on “The Effectiveness Paradox“: how do you evaluate a quality system’s capability to detect its own failures, not just its ability to pass an inspection when everything is running smoothly?

The Current PAI/PLI Model and Why It Fails

To understand why PreCheck is necessary, we must first understand why the current Pre-Approval Inspection (PAI) and Pre-License Inspection (PLI) model is structurally flawed.

The High-Stakes Inspection at the Worst Possible Time

Under the current system, the FDA conducts a PAI (for drugs under CDER) or PLI (for biologics under CBER) to verify that a manufacturing facility is capable of producing the drug product as described in the application. This inspection is risk-based—the FDA does not inspect every application. But when an inspection is deemed necessary, the timing is brutal.

As one industry executive described at the PreCheck public meeting: “We brought on a new U.S. manufacturing facility two years ago and the PAI for that facility was weeks prior to our PDUFA date. At that point, we’re under a lot of pressure. Any questions or comments or observations that come up during the PAI are very difficult to resolve in that time frame”.

This is the structural flaw: the FDA evaluates the facility after the facility is built, after the application is filed, and as close as possible to the approval decision. If the inspection reveals deficiencies—data integrity failures, inadequate cleaning validation, contamination control gaps, equipment qualification issues—the manufacturer has very little time to correct them before the PDUFA clock expires.

The result? Complete Response Letters (CRLs).

The CRL Epidemic: Facility Failures Blocking Approvals

The data on inspection-related CRLs is stark.

In a 2024 analysis of BLA outcomes, researchers found that BLAs were issued CRLs nearly half the time in 2023—the highest rate ever recorded. Of these CRLs, approximately 20% were due to facility inspection failures.

Breaking this down further:

  • Foreign manufacturing sites are associated with more CRs, proportionate to the number of PLIs conducted.
  • Approximately 50% of facility deficiencies are for Contract Development Manufacturing Organizations (CDMOs).
  • Approximately 75% of Applicant-Site CRs are for biosimilars.
  • The five most-cited facilities (each with ≥5 CRs) account for ~35% of all CR deficiencies.

In a separate analysis of CRL drivers from 2020–2024, Manufacturing/CMC deficiencies and Facility Inspection Failures together account for over 60% of all CRLs. This includes:

  • Inadequate control of production processes
  • Unstable manufacturing
  • Data gaps in CMC
  • GMP site inspections revealing uncontrolled processes, document gaps, hygiene issues

The pattern is clear: facility issues discovered late in the approval process are causing massive delays.

Why the Late-Stage Inspection Model Creates Failure

The PAI/PLI model creates failure for three reasons:

1. The Inspection Evaluates “Work-as-Done” When It’s Too Late to Change It

When the FDA arrives for a PAI/PLI, the facility is already built. The equipment is already installed. The processes are already validated (or supposed to be). The SOPs are already written.

If the inspector identifies a fundamental design flaw—say, inadequate segregation between manufacturing suites, or a HVAC system that cannot maintain differential pressure during interventions—the manufacturer cannot easily fix it. Redesigning cleanroom airflow or adding airlocks requires months of construction and re-qualification. The PDUFA clock does not stop.

This is analogous to the Rechon Life Science warning letter I analyzed in September 2025, where the smoke studies revealed turbulent airflow over open vials, contradicting the firm’s Contamination Control Strategy. The CCS claimed unidirectional flow protected the product. The smoke video showed eddies. But by the time this was discovered, the facility was operational, the batches were made, and the “fix” required redesigning the isolator.

2. The Inspection Creates Adversarial Pressure Instead of Collaborative Learning

Because the PAI occurs weeks before the PDUFA date, the inspection becomes a pass/fail exam rather than a learning opportunity. The manufacturer is under intense pressure to defend their systems rather than interrogate them. Questions from inspectors are perceived as threats, not invitations to improve.

This is the opposite of the falsifiable quality mindset. A falsifiable system would welcome the inspection as a chance to test whether the control strategy holds up under scrutiny. But the current timing makes this psychologically impossible. The stakes are too high.

3. The Inspection Conflates “Facility Capability” with “Product-Specific Compliance”

The PAI/PLI is nominally about verifying that the facility can manufacture the specific product in the application. But in practice, inspectors evaluate general GMP compliance—data integrity, quality unit independence, deviation investigation rigor, cleaning validation adequacy—not just product-specific manufacturing steps.

The FDA does not give “facility certificates” like the EMA does. Every product application triggers a new inspection (or waiver decision) based on the facility’s recent inspection history. This means a facility with a poor inspection outcome on one product will face heightened scrutiny on all subsequent products—creating a negative feedback loop.

Comparative Regulatory Philosophy—EMA, WHO, and PIC/S

To understand whether PreCheck is sufficient, we must compare it to how other regulatory agencies conceptualize facility oversight.

The EMA Model: Decoupling and Delegation

The European Medicines Agency (EMA) operates a decentralized inspection system. The EMA itself does not conduct inspections; instead, National Competent Authorities (NCAs) in EU member states perform GMP inspections on behalf of the EMA.

The key structural differences from the FDA:

1. Facility Inspections Are Decoupled from Product Applications

In the EU, a manufacturing facility can be inspected and receive a GMP certificate from the NCA independent of any specific product application. This certificate attests that the facility complies with EU GMP and is capable of manufacturing medicinal products according to its authorized scope.

When a Marketing Authorization Application (MAA) is filed, the CHMP (Committee for Medicinal Products for Human Use) can request a GMP inspection if needed, but if the facility has a recent GMP certificate in good standing, a new inspection may not be necessary.

This means the facility’s “GMP status” is assessed separately from the product’s clinical and CMC review. Facility issues do not automatically block product approval—they are addressed through a separate remediation pathway.

2. Risk-Based and Reliance-Based Inspection Planning

The EMA employs a risk-based approach to determine inspection frequency. Facilities are inspected on a routine re-inspection program (typically every 1-3 years depending on risk), with the frequency adjusted based on:

  • Previous inspection findings (critical, major, or minor deficiencies)
  • Product type and patient risk
  • Manufacturing complexity
  • Company compliance history

Additionally, the EMA participates in PIC/S inspection reliance (discussed below), meaning it may accept inspection reports from other competent authorities without conducting its own inspection.

3. Mutual Recognition Agreement (MRA) with the FDA

The U.S. and EU have a Mutual Recognition Agreement for GMP inspections. Under this agreement, the FDA and EMA recognize each other’s inspection outcomes for human medicines, reducing duplicate inspections.

Importantly, the EMA has begun accepting FDA inspection reports proactively during the pre-submission phase. Applicants can provide FDA inspection reports to support their MAA, allowing the EMA to make risk-based decisions about whether an additional inspection is needed.

This is the inverse of what the FDA is attempting with PreCheck. The EMA is saying: “We trust the FDA’s inspection, so we don’t need to repeat it.” The FDA, with PreCheck, is saying: “We will inspect early, so we don’t need to repeat it later.” Both approaches aim to reduce redundancy, but the EMA’s reliance model is more mature.

WHO Prequalification: Phased Inspections and Leveraging SRAs

The WHO Prequalification (PQ) program provides an alternative model for facility assessment, particularly relevant for manufacturers in low- and middle-income countries (LMICs).

Key features:

1. Inspection Occurs During the Dossier Assessment, Not After

Unlike the FDA’s PAI (which occurs near the end of the review), WHO PQ conducts inspections within 6 months of dossier acceptance for assessment. This means the facility inspection happens in parallel with the technical review, not at the end.

If the inspection reveals deficiencies, the manufacturer submits a Corrective and Preventive Action (CAPA) plan, and WHO conducts a follow-up inspection within 6-9 months. The prequalification decision is not made until the inspection is closed.

This phased approach reduces the “all-or-nothing” pressure of the FDA’s late-stage PAI.

2. Routine Inspections Every 1-3 Years

Once a product is prequalified, WHO conducts routine inspections every 1-3 years to verify continued compliance. This aligns with the Continued Process Verification concept in FDA’s Stage 3 validation—the idea that a facility is not “validated forever” after one inspection, but must demonstrate ongoing control.

3. Reliance on Stringent Regulatory Authorities (SRAs)

WHO PQ may leverage inspection reports from Stringent Regulatory Authorities (SRAs) or WHO-Listed Authorities (WLAs). If the facility has been recently inspected by an SRA (e.g., FDA, EMA, Health Canada) and the scope is appropriate, WHO may waive the onsite inspection and rely on the SRA’s findings.

This is a trust-based model: WHO recognizes that conducting duplicate inspections wastes resources, and that a well-documented inspection by a competent authority provides sufficient assurance.

The FDA’s PreCheck program does not include this reliance mechanism. PreCheck is entirely FDA-centric—there is no provision for accepting EMA or WHO inspection reports to satisfy Phase 1 or Phase 2 requirements.

PIC/S: Risk-Based Inspection Planning and Classification

The Pharmaceutical Inspection Co-operation Scheme (PIC/S) is an international framework for harmonizing GMP inspections across member authorities.

Two key PIC/S documents are relevant to this discussion:

1. PI 037-1: Risk-Based Inspection Planning

PIC/S provides a qualitative risk management tool to help inspectorates prioritize inspections. The model assigns each facility a risk rating (A, B, or C) based on:

  • Intrinsic Risk: Product type, complexity, patient population
  • Compliance Risk: Previous inspection outcomes, deficiency history

The risk rating determines inspection frequency:

  • A (Low Risk): Reduced frequency (2-3 years)
  • B (Moderate Risk): Moderate frequency (1-2 years)
  • C (High Risk): Increased frequency (<1 year, potentially multiple times per year)

Critically, PIC/S assumes that every manufacturer will be inspected at least once within the defined period. There is no such thing as “perpetual approval” based on one inspection.

2. PI 048-1: GMP Inspection Reliance

PIC/S introduced a guidance on inspection reliance in 2018. This guidance provides a framework for desktop assessment of GMP compliance based on the inspection activities of other competent authorities.

The key principle: if another PIC/S member authority has recently inspected a facility and found it compliant, a second authority may accept that finding without conducting its own inspection.

This reliance is conditional—the accepting authority must verify that:

  • The scope of the original inspection covers the relevant products and activities
  • The original inspection was recent (typically within 2-3 years)
  • The original authority is a trusted PIC/S member
  • There have been no significant changes or adverse events since the inspection

This is the most mature version of the trust-based inspection model. It recognizes that GMP compliance is not a static state that can be certified once, but also that redundant inspections by multiple authorities waste resources and delay market access.

Comparative Summary

DimensionFDA (Current PAI/PLI)FDA PreCheck (Proposed)EMA/EUWHO PQPIC/S Framework
Timing of InspectionLate (near PDUFA)Early (design phase) + Late (application)Variable, risk-basedEarly (during assessment)Risk-based (1-3 years)
Facility vs. Product FocusProduct-specificFacility (Phase 1) → Product (Phase 2)Facility-centric (GMP certificate)Product-specific with facility focusFacility-centric
DecouplingNoPartial (Phase 1 early feedback)Yes (GMP certificate independent)No, but phasedYes (risk-based frequency)
Reliance on Other AuthoritiesNoNoYes (MRA, PIC/S)Yes (SRA reliance)Yes (core principle)
FrequencyPer-applicationPhase 1 (once) → Phase 2 (per-application)Routine re-inspection (1-3 years)Routine (1-3 years)Risk-based (A/B/C)
Consequence of FailureCRL, approval blockedPhase 1: design guidance; Phase 2: potential CRLCAPA, may not block approvalCAPA, follow-up inspectionRemediation, increased frequency

The striking pattern: the FDA is the outlier. Every other major regulatory system has moved toward:

  • Decoupling facility inspections from product applications
  • Risk-based, routine inspection frequencies
  • Reliance mechanisms to avoid duplicate inspections
  • Facility-centric GMP certificates or equivalent

PreCheck is the FDA’s first step toward this model, but it is not yet there. Phase 1 provides early engagement, but Phase 2 still ties facility assessment to a specific product. PreCheck does not create a standalone “facility approval” that can be referenced across products or shared among CMO clients.

Potential Benefits of PreCheck (When It Works)

Despite its limitations, PreCheck could offer potential real benefits over the status quo—if it is implemented effectively.

Benefit 1: Early Detection of Facility Design Flaws

The most obvious benefit of PreCheck is that it allows the FDA to review facility design during construction, rather than after the facility is operational.

As one industry expert noted at the public meeting: “You’re going to be able to solve facility issues months, even years before they occur”.

Consider the alternative. Under the current PAI/PLI model, if the FDA inspector discovers during a pre-approval inspection that the cleanroom differential pressure cannot be maintained during material transfer, the manufacturer faces a choice:

  • Redesign the HVAC system (months of construction, re-commissioning, re-qualification)
  • Withdraw the application
  • Argue that the deficiency is not critical and hope the FDA agrees

All of these options are expensive and delay the product launch.

PreCheck, by contrast, allows the FDA to flag this issue during the design review (Phase 1), when the HVAC system is still on the engineering drawings. The manufacturer can adjust the design before pouring concrete.

This is the principle of Design Qualification (DQ) applied to the regulatory inspection timeline. Just as equipment must pass DQ before moving to Installation Qualification (IQ), the facility should pass regulatory design review before moving to construction and operation.

Benefit 2: Reduced Uncertainty and More Predictable Timelines

The current PAI/PLI system creates uncertainty about whether an inspection will be scheduled, when it will occur, and what the outcome will be.

Manufacturers described this uncertainty as one of the biggest pain points at the PreCheck public meeting. One executive noted that PAIs are often scheduled with short notice, and manufacturers struggle to align their production schedules (especially for seasonal products like vaccines) with the FDA’s inspection availability.

PreCheck introduces structure to this chaos. If a manufacturer completes Phase 1 successfully, the FDA has already reviewed the facility and provided feedback. The manufacturer knows what the FDA expects. When Phase 2 begins (the product application), the CMC review can proceed with greater confidence that facility issues will not derail the approval.

This does not eliminate uncertainty entirely—Phase 2 still involves an inspection (or inspection waiver decision), and deficiencies can still result in CRLs. But it shifts the uncertainty earlier in the process, when corrections are cheaper.

Benefit 3: Building Institutional Knowledge at the FDA

One underappreciated benefit of PreCheck is that it allows the FDA to build institutional knowledge about a manufacturer’s quality systems over time.

Under the current model, a PAI inspector arrives at a facility for 5-10 days, reviews documents, observes operations, and leaves. The inspection report is filed. If the same facility files a second product application two years later, a different inspector may conduct the PAI, and the process starts from scratch.

The PreCheck Type V DMF, by contrast, is a living document that accumulates information about the facility over its lifecycle. The FDA reviewers who participate in Phase 1 (design review) can provide continuity into Phase 2 (application review) and potentially into post-approval surveillance.

This is the principle behind the EMA’s GMP certificate model: once the facility is certified, subsequent inspections build on the previous findings rather than starting from zero.

Industry stakeholders explicitly requested this continuity at the PreCheck meeting, asking the FDA to “keep the same reviewers in place as the process progresses”. The implication: trust is built through relationships and institutional memory, not one-off inspections.

Benefit 4: Incentivizing Quality Management Maturity

By including Quality Management Maturity (QMM) practices in the Type V DMF, PreCheck encourages manufacturers to invest in advanced quality systems beyond CGMP minimums.

This is aspirational, not transactional. The FDA is not offering faster approvals or reduced inspection frequency in exchange for QMM participation—at least not yet. But the long-term vision is that manufacturers with mature quality systems will be recognized as lower-risk, and this recognition could translate into regulatory flexibility (e.g., fewer post-approval inspections, faster review of post-approval changes).

This aligns with the philosophy I have argued for throughout 2025: a quality system should not be judged by its compliance on the day of the inspection, but by its ability to detect and correct failures over time. A mature quality system is one that is designed to falsify its own assumptions—to seek out the cracks before they become catastrophic failures.

The QMM framework is the FDA’s attempt to operationalize this philosophy. Whether it succeeds depends on whether the FDA can develop a fair, transparent, and non-punitive assessment protocol—something industry is deeply skeptical about.

Challenges and Industry Concerns

The September 30, 2025 public meeting revealed that while industry welcomes PreCheck, the program as proposed has significant gaps.

Challenge 1: PreCheck Does Not Decouple Facility Inspections from Product Approvals

The single most consistent request from industry was: decouple GMP facility inspections from product applications.

Executives from Eli Lilly, Merck, Johnson & Johnson, and others explicitly called for the FDA to adopt the EMA model, where a facility can be inspected and certified independent of a product application, and that certification can be referenced by multiple products.

Why does this matter? Because under the current system (and under PreCheck as proposed), if a facility has a compliance issue, all product applications relying on that facility are at risk.

Consider a CMO that manufactures API for 10 different sponsors. If the CMO fails a PAI for one sponsor’s product, the FDA may place the entire facility under heightened scrutiny, delaying approvals for all 10 sponsors. This creates a cascade failure where one product’s facility issue blocks the market access of unrelated products.

The EMA’s GMP certificate model avoids this by treating the facility as a separate regulatory entity. If the facility has compliance issues, the NCA works with the facility to remediate them independent of pending product applications. The product approvals may be delayed, but the remediation pathway is separate.

The FDA’s Michael Kopcha acknowledged the request but did not commit: “Decoupling, streamlining, and more up-front communication is helpful… We will have to think about how to go about managing and broadening the scope”.

Challenge 2: PreCheck Only Applies to New Facilities, Not Existing Ones

PreCheck is designed for new domestic manufacturing facilities. But the majority of facility-related CRLs involve existing facilities—either because they are making post-approval changes, transferring manufacturing sites, or adding new products.

Industry stakeholders requested that PreCheck be expanded to include:

  • Existing facility expansions and retrofits
  • Post-approval changes (e.g., adding a new production line, changing a manufacturing process)
  • Site transfers (moving production from one facility to another)

The FDA did not commit to this expansion, but Kopcha noted that the agency is “thinking about how to broaden the scope”.

The challenge here is that the FDA lacks a facility lifecycle management framework. The current system treats each product application as a discrete event, with no mechanism for a facility to earn cumulative credit for good performance across multiple products over time.

This is what the PIC/S risk-based inspection model provides: a facility with a strong compliance history moves to reduced inspection frequency (e.g., every 3 years instead of annually). A facility with a poor history moves to increased frequency (e.g., multiple inspections per year). The inspection burden is proportional to risk.

PreCheck Phase 1 could serve this function—if it were expanded to existing facilities. A CMO that completes Phase 1 and demonstrates mature quality systems could earn presumption of compliance for future product applications, reducing the need for repeated PAIs/PLIs.

But as currently designed, PreCheck is a one-time benefit for new facilities only.

Challenge 3: Confidentiality and Intellectual Property Concerns

Manufacturers expressed significant concern about what information the FDA will require in the Type V DMF and whether that information will be protected from Freedom of Information Act (FOIA) requests.

The concern is twofold:

1. Proprietary Manufacturing Details

The Type V DMF is supposed to include facility layouts, equipment specifications, and process flow diagrams. For some manufacturers—especially those with novel technologies or proprietary processes—this information is competitively sensitive.

If the DMF is subject to FOIA disclosure (even with redactions), competitors could potentially reverse-engineer the manufacturing strategy.

2. CDMO Relationships

For Contract Development and Manufacturing Organizations (CDMOs), the Type V DMF creates a dilemma. The CDMO owns the facility, but the sponsor owns the product. Who submits the DMF? Who controls access to it? If multiple sponsors use the same CDMO facility, can they all reference the same DMF, or must each sponsor submit a separate one?

Industry requested clarity on these ownership and confidentiality issues, but the FDA has not yet provided detailed guidance.

This is not a trivial concern. Approximately 50% of facility-related CRLs involve CDMOs. If PreCheck cannot accommodate the CDMO business model, its utility is limited.

The Confidentiality Paradox: Good for Companies, Uncertain for Consumers

The confidentiality protections embedded in the DMF system—and by extension, in PreCheck’s Type V DMF—serve a legitimate commercial purpose. They allow manufacturers to protect proprietary manufacturing processes, equipment specifications, and quality system innovations from competitors. This protection is particularly critical for Contract Manufacturing Organizations (CMOs) who serve multiple competing sponsors and cannot afford to have one client’s proprietary methods disclosed to another.

But there is a tension here that deserves explicit acknowledgment: confidentiality rules that benefit companies are not necessarily optimal for consumers. This is not an argument for eliminating trade secret protections—innovation requires some degree of secrecy. Rather, it is a call to examine where the balance is struck and whether current confidentiality practices are serving the public interest as robustly as they serve commercial interests.

What Confidentiality Hides from Public View

Under current FDA confidentiality rules (21 CFR 314.420 for DMFs, and broader FOIA exemptions for commercial information), the following categories of information are routinely shielded from public disclosure.

The detailed manufacturing procedures, equipment specifications, and process parameters submitted in Type II DMFs (drug substances) and Type V DMFs (facilities) are never disclosed to the public. They may not even be disclosed to the sponsor referencing the DMF—only the FDA reviews them.

This means that if a manufacturer is using a novel but potentially risky manufacturing technique—say, a continuous manufacturing process that has not been validated at scale, or a cleaning procedure that is marginally effective—the public has no way to know. The FDA reviews this information, but the public cannot verify the FDA’s judgment.

2. Drug Pricing Data and Financial Arrangements

Pharmaceutical companies have successfully invoked trade secret protections to keep drug prices, manufacturing costs, and financial arrangements (rebates, discounts) confidential. In the United States, transparency laws requiring companies to disclose drug pricing information have faced constitutional challenges on the grounds that such disclosure constitutes an uncompensated “taking” of trade secrets.

This opacity prevents consumers, researchers, and policymakers from understanding why drugs cost what they cost and whether those prices are justified by manufacturing expenses or are primarily driven by monopoly pricing.

3. Manufacturing Deficiencies and Inspection Findings

When the FDA conducts an inspection and issues a Form FDA 483 (Inspectional Observations), those observations are eventually made public. But the detailed underlying evidence—the batch records showing failures, the deviations that were investigated, the CAPA plans that were proposed—remain confidential as part of the company’s internal quality records.

This means the public can see that a deficiency occurred, but cannot assess how serious it was or whether the corrective action was adequate. We are asked to trust that the FDA’s judgment was sound, without access to the data that informed that judgment.

The Public Interest Argument for Greater Transparency

The case for reducing confidentiality protections—or at least creating exceptions for public health—rests on several arguments:

Argument 1: The Public Funds Drug Development

As health law scholars have noted, the public makes extraordinary investments in private companies’ drug research and development through NIH grants, tax incentives, and government contracts. Yet details of clinical trial data, manufacturing processes, and government contracts often remain secret, even though the public paid for the research.

During the COVID-19 pandemic, for example, the Johnson & Johnson vaccine contract explicitly allowed the company to keep secret “production/manufacturing know-how, trade secrets, [and] clinical data,” despite massive public funding of the vaccine’s development. European Commission vaccine contracts similarly included generous redactions of price per dose, amounts paid up front, and rollout schedules.

If the public is paying for innovation, the argument goes, the public should have access to the results.

Argument 2: Regulators Are Understaffed and Sometimes Wrong

The FDA is chronically understaffed and under pressure to approve medicines quickly. Regulators sometimes make mistakes. Without access to the underlying data—manufacturing details, clinical trial results, safety signals—independent researchers cannot verify the FDA’s conclusions or identify errors that might not be apparent to a time-pressured reviewer.

Clinical trial transparency advocates argue that summary-level data, study protocols, and even individual participant data can be shared in ways that protect patient privacy (through anonymization and redaction) while allowing independent verification of safety and efficacy claims.

The same logic applies to manufacturing data. If a facility has chronic contamination control issues, or a process validation that barely meets specifications, should that information remain confidential? Or should researchers, patient advocates, and public health officials have access to assess whether the FDA’s acceptance of the facility was reasonable?

Argument 3: Trade Secret Claims Are Often Overbroad

Legal scholars studying pharmaceutical trade secrecy have documented that companies often claim trade secret protection for information that does not meet the legal definition of a trade secret.

For example, “naked price” information—the actual price a company charges for a drug—has been claimed as a trade secret to prevent regulatory disclosure, even though such information provides minimal competitive advantage and is of significant public interest. Courts have begun to push back on these claims, recognizing that the public interest in transparency can outweigh the commercial interest in secrecy, especially in highly regulated industries like pharmaceuticals.

The concern is that companies use trade secret law strategically to suppress unwanted regulation, transparency, and competition—not to protect genuine innovations.

Argument 4: Secrecy Delays Generic Competition

Even after patent and data exclusivity periods expire, trade secret protections allow pharmaceutical companies to keep the precise composition or manufacturing process for medications confidential. This slows the release of generic competitors by preventing them from relying on existing engineering and manufacturing data.

For complex biologics, this problem is particularly acute. Biosimilar developers must reverse-engineer the manufacturing process without access to the originator’s process data, leading to delays of many years and higher costs.

If manufacturing data were disclosed after a defined exclusivity period—say, 10 years—generic and biosimilar developers could bring competition to market faster, reducing drug prices for consumers.

The Counter-Argument: Why Companies Need Confidentiality

It is important to acknowledge the legitimate reasons why confidentiality protections exist:

1. Protecting Innovation Incentives

If manufacturing processes were disclosed, competitors could immediately copy them, undermining the innovator’s investment in developing the process. This would reduce incentives for process innovation and potentially slow the development of more efficient, higher-quality manufacturing methods.

2. Preventing Misuse of Information

Detailed manufacturing data could, in theory, be used by bad actors to produce counterfeit drugs or to identify vulnerabilities in the supply chain. Confidentiality reduces these risks.

3. Maintaining Competitive Differentiation

For CMOs in particular, their manufacturing expertise is their product. If their processes were disclosed, they would lose competitive advantage and potentially business. This could consolidate the industry and reduce competition among manufacturers.

4. Protecting Collaborations

The DMF system enables collaborations between API suppliers, excipient manufacturers, and drug sponsors precisely because each party can protect its proprietary information. If all information had to be disclosed, vertical integration would increase (companies would manufacture everything in-house to avoid disclosure), reducing specialization and efficiency.

Where Should the Balance Be?

The tension is real, and there is no simple resolution. But several principles might guide a more consumer-protective approach to confidentiality:

Principle 1: Time-Limited Secrecy

Trade secrets currently have no expiration date—they can remain secret indefinitely, as long as they remain non-public. But public health interests might be better served by time-limited confidentiality. After a defined period (e.g., 10-15 years post-approval), manufacturing data could be disclosed to facilitate generic/biosimilar competition.

Principle 2: Public Interest Exceptions

Confidentiality rules should include explicit public health exceptions that allow disclosure when there is a compelling public interest—for example, during pandemics, public health emergencies, or when safety signals emerge. Oregon’s drug pricing transparency law includes such an exception: trade secrets are protected unless the public interest requires disclosure.

Principle 3: Independent Verification Rights

Researchers, patient advocates, and public health officials should have structured access to clinical trial data, manufacturing data, and inspection findings under conditions that protect commercial confidentiality (e.g., through data use agreements, anonymization, secure research environments). The goal is not to publish trade secrets on the internet, but to enable independent verification of regulatory decisions.

The FDA already does this in limited ways—for example, by allowing outside experts to review confidential data during advisory committee meetings under non-disclosure agreements. This model could be expanded.

Principle 4: Narrow Trade Secret Claims

Courts and regulators should scrutinize trade secret claims more carefully, rejecting overbroad claims that seek to suppress transparency without protecting genuine innovation. “Naked price” information, aggregate safety data, and high-level manufacturing principles should not qualify for trade secret protection, even if detailed process parameters do.

Implications for PreCheck

In the context of PreCheck, the confidentiality tension manifests in several ways:

For Type V DMFs: The facility information submitted in Phase 1—site layouts, quality systems, QMM practices—will be reviewed by the FDA but not disclosed to the public or even to other sponsors using the same CMO. If a facility has marginal quality practices but passes PreCheck Phase 1, the public will never know. We are asked to trust the FDA’s judgment without transparency into what was reviewed or what deficiencies (if any) were identified.

For QMM Disclosure: Industry is concerned that submitting Quality Management Maturity information is “risky” because it discloses advanced practices beyond CGMP requirements. But the flip side is: if manufacturers are not willing to disclose their quality practices, how can regulators—or the public—assess whether those practices are adequate?

QMM is supposed to reward transparency and maturity. But if the information remains confidential and is never subjected to independent scrutiny, it becomes another form of compliance theater—a document that the FDA reviews in secret, with no external verification.

For Inspection Reliance: If the FDA begins accepting EMA GMP certificates or PIC/S inspection reports (as industry has requested), will those international inspection findings be more transparent than U.S. inspections? In some jurisdictions, yes—the EU publishes more detailed inspection outcomes than the FDA does. But in other jurisdictions, confidentiality practices may be even more restrictive.

A Tension Worth Monitoring

I do not claim to have resolved this tension. Reasonable people can disagree on where the line should be drawn between protecting innovation and ensuring public accountability.

But what I will argue is this: the tension deserves ongoing attention. As PreCheck evolves, as QMM assessments become more detailed, as Type V DMFs accumulate facility data over years—we should ask, repeatedly:

  • Who benefits from confidentiality, and who bears the risk?
  • Are there ways to enable independent verification without destroying commercial incentives?
  • Is the FDA using its discretion to share data proactively, or defaulting to secrecy when transparency might serve the public interest?

The history of pharmaceutical regulation is, in part, a history of secrets revealed too late. Vioxx’s cardiovascular risks. Thalidomide’s teratogenicity. OxyContin’s addictiveness. In each case, information that was known or knowable earlier remained hidden—sometimes due to fraud, sometimes due to regulatory caution, sometimes due to confidentiality rules that prioritized commercial interests over public health.

PreCheck, if it succeeds, will create a new repository of confidential facility data held by the FDA. That data could be a public asset—enabling faster approvals, better-informed regulatory decisions, earlier detection of quality problems. Or it could become another black box, where the public is asked to trust that the system works without access to the evidence.

The choice is not inevitable. It is a design decision—one that regulators, legislators, and industry will make, explicitly or implicitly, in the years ahead.

We should make it explicitly, with full awareness of whose interests are being prioritized and what risks are being accepted on behalf of patients who have no seat at the table.

Challenge 4: QMM is Not Fully Defined, and Submission Feels “Risky”

As discussed earlier, manufacturers are wary of submitting Quality Management Maturity (QMM) information because the assessment framework is not fully developed.

One attendee at the public meeting described QMM submission as “risky” because:

  • The FDA has not published the final QMM assessment protocol
  • The maturity criteria are subjective and open to interpretation
  • Disclosing quality practices beyond CGMP requirements could create new expectations that the manufacturer must meet

The analogy is this: if you tell the FDA, “We use statistical process control to detect process drift in real-time,” the FDA might respond, “Great! Show us your SPC data for the last two years.” If that data reveals a trend that the manufacturer considered acceptable but the FDA considers concerning, the manufacturer has created a problem by disclosing the information.

This is the opposite of the trust-building that QMM is supposed to enable. Instead of rewarding manufacturers for advanced quality practices, the program risks punishing them for transparency.

Until the FDA clarifies that QMM participation is non-punitive and that disclosure of advanced practices will not trigger heightened scrutiny, industry will remain reluctant to engage fully with this component of PreCheck.

Challenge 5: Resource Constraints—Will PreCheck Starve Other FDA Programs?

Industry stakeholders raised a practical concern: if the FDA dedicates inspectors and reviewers to PreCheck, will that reduce resources for routine surveillance inspections, post-approval change reviews, and other critical programs?

The FDA has not provided a detailed resource plan for PreCheck. The program is described as voluntary, which implies it is additive to existing workload, not a replacement for existing activities.

But inspectors and reviewers are finite resources. If PreCheck becomes popular (which the FDA hopes it will), the agency will need to either:

  • Hire additional staff to support PreCheck (requiring Congressional appropriations)
  • Deprioritize other inspection activities (e.g., routine surveillance)
  • Limit the number of PreCheck engagements per year (creating a bottleneck)

One industry representative noted that the economic incentives for domestic manufacturing are weak—it takes 5-7 years to build a new plant, and generic drug margins are thin. Unless the FDA can demonstrate that PreCheck provides substantial time and cost savings, manufacturers may not participate at the scale needed to meet the program’s supply chain security goals.

The CRL Crisis—How Facility Deficiencies Are Blocking Approvals

To understand the urgency of PreCheck, we must examine the data on inspection-related Complete Response Letters (CRLs).

The Numbers: CRLs Are Rising, Facility Issues Are a Leading Cause

In 2023, BLAs were issued CRLs nearly half the time—an unprecedented rate. This represents a sharp increase from previous years, driven by multiple factors:

  • More BLA submissions overall (especially biosimilars under the 351(k) pathway)
  • Increased scrutiny of manufacturing and CMC sections
  • More for-cause inspections (up 250% in 2025 compared to historical baseline)

Of the CRLs issued in 2023-2024, approximately 20% were due to facility inspection failures. This makes facility issues the third most common CRL driver, behind Manufacturing/CMC deficiencies (44%) and Clinical Evidence Gaps (44%).

Breaking down the facility-related CRLs:

  • Foreign manufacturing sites are associated with more CRLs proportionate to the number of PLIs conducted
  • 50% of facility deficiencies involve Contract Manufacturing Organizations (CMOs)
  • 75% of Applicant-Site CRs are for biosimilar applications
  • The five most-cited facilities account for ~35% of CR deficiencies

This last statistic is revealing: the CRL problem is concentrated among a small number of repeat offenders. These facilities receive CRLs on multiple products, suggesting systemic quality issues that are not being resolved between applications.

What Deficiencies Are Causing CRLs?

Analysis of FDA 483 observations and warning letters from FY2024 reveals the top inspection findings driving CRLs:

  1. Data Integrity Failures (most common)
    • ALCOA+ principles not followed
    • Inadequate audit trails
    • 21 CFR Part 11 non-compliance
  2. Quality Unit Failures
    • Inadequate oversight
    • Poor release decisions
    • Ineffective CAPA systems
    • Superficial root cause analysis
  3. Inadequate Process/Equipment Qualification
    • Equipment not qualified before use
    • Process validation protocols deficient
    • Continued Process Verification not implemented
  4. Contamination Control and Environmental Monitoring Issues
    • Inadequate monitoring locations (the “representative” trap discussed in my Rechon and LeMaitre analyses)
    • Failure to investigate excursions
    • Contamination Control Strategy not followed
  5. Stability Program Deficiencies
    • Incomplete stability testing
    • Data does not support claimed shelf-life

These findings are not product-specific. They are systemic quality system failures that affect the facility’s ability to manufacture any product reliably.

This is the fundamental problem with the current PAI/PLI model: the FDA discovers general GMP deficiencies during a product-specific inspection, and those deficiencies block approval even though they are not unique to that product.

The Cascade Effect: One Facility Failure Blocks Multiple Approvals

The data on repeat offenders is particularly troubling. Facilities with ≥3 CRs are primarily biosimilar manufacturers or CMOs.

This creates a cascade: a CMO fails a PLI for Product A. The FDA places the CMO on heightened surveillance. Products B, C, and D—all unrelated to Product A—face delayed PAIs because the FDA prioritizes re-inspecting the CMO to verify corrective actions. By the time Products B, C, and D reach their PDUFA dates, the CMO still has not cleared the OAI classification, and all three products receive CRLs.

This is the opposite of a risk-based system. Products B, C, and D are being held hostage by Product A’s facility issues, even though the manufacturing processes are different and the sponsors are different.

The EMA’s decoupled model avoids this by treating the facility as a separate remediation pathway. If the CMO has GMP issues, the NCA works with the CMO to fix them. Product applications proceed on their own timeline. If the facility is not compliant, products cannot be approved, but the remediation does not block the application review.

For-Cause Inspections: The FDA Is Catching More Failures

One contributing factor to the rise in CRLs is the sharp increase in for-cause inspections.

In 2025, the FDA conducted for-cause inspections at nearly 25% of all inspection events, up from the historical baseline of ~10%. For-cause inspections are triggered by:

  • Consumer complaints
  • Post-market safety signals (Field Alert Reports, adverse event reports)
  • Product recalls or field alerts
  • Prior OAI inspections or warning letters

For-cause inspections have a 33.5% OAI rate—5.6 times higher than routine inspections. And approximately 50% of OAI classifications lead to a warning letter or import alert.

This suggests that the FDA is increasingly detecting facilities with serious compliance issues that were not evident during prior routine inspections. These facilities are then subjected to heightened scrutiny, and their pending product applications face CRLs.

The problem: for-cause inspections are reactive. They occur after a failure has already reached the market (a recall, a complaint, a safety signal). By that point, patient harm may have already occurred.

PreCheck is, in theory, a proactive alternative. By evaluating facilities early (Phase 1), the FDA can identify systemic quality issues before the facility begins commercial manufacturing. But PreCheck only applies to new facilities. It does not solve the problem of existing facilities with poor compliance histories.


A Framework for Site Readiness—In Place, In Use, In Control

The current PAI/PLI model treats site readiness as a binary: the facility is either “compliant” or “not compliant” at a single moment in time.

PreCheck introduces a two-phase model, separating facility design review (Phase 1) from product-specific review (Phase 2).

But I propose that a more useful—and more falsifiable—framework for site readiness is three-stage:

  1. In Place: Systems, procedures, equipment, and documentation exist and meet design specifications.
  2. In Use: Systems and procedures are actively implemented in routine operations as designed.
  3. In Control: Systems maintain validated state through continuous verification, trend analysis, and proactive improvement.

This framework maps directly onto:

  • The FDA’s process validation lifecycle (Stage 1: Process Design = In Place; Stage 2: Process Qualification = In Use; Stage 3: Continued Process Verification = In Control)
  • The ISPE/EU Annex 15 qualification stages (DQ/IQ = In Place; OQ/PQ = In Use; Ongoing monitoring = In Control)
  • The ICH Q10 “state of control” concept (In Control)

The advantage of this framework is that it explicitly separates three distinct questions that are often conflated:

  • Does the system exist? (In Place)
  • Is the system being used? (In Use)
  • Is the system working? (In Control)

A facility can be “In Place” without being “In Use” (e.g., SOPs are written but operators are not trained). A facility can be “In Use” without being “In Control” (e.g., operators follow procedures, but the process produces high variability and frequent deviations).

Let me define each stage in detail.

Stage 1: In Place (Structural Readiness)

Definition: Systems, procedures, equipment, and documentation exist and meet design specifications.

This is the output of Design Qualification (DQ) and Installation Qualification (IQ). It answers the question: “Has the facility been designed and built according to GMP requirements?”

Key Elements:

  • Facility layout meets User Requirements Specification (URS) and regulatory expectations
  • Equipment installed per manufacturer specifications
  • SOPs written and approved
  • Quality systems documented (change control, deviation management, CAPA, training)
  • Utilities qualified (HVAC, water systems, compressed air, clean steam)
  • Cleaning and sanitation programs established
  • Environmental monitoring plan defined
  • Personnel hired and organizational chart defined

Assessment Methods:

  • Document review (URS, design specifications, as-built drawings)
  • Equipment calibration certificates
  • SOP index review
  • Site Master File review
  • Validation Master Plan review

Alignment with PreCheck: This is what Phase 1 (Facility Readiness) evaluates. The Type V DMF submitted during Phase 1 contains evidence that systems are In Place.

Alignment with EMA: This corresponds to the initial GMP inspection conducted by the NCA before granting a manufacturing license.

Inspection Outcome: If a facility is “In Place,” it means the infrastructure exists. But it says nothing about whether the infrastructure is functional or effective.

Stage 2: In Use (Operational Readiness)

Definition: Systems and procedures are actively implemented in routine operations as designed.

This is the output Validation. It answers the question: “Can the facility execute its processes reliably?”

Key Elements:

  • Equipment operates within qualified parameters during production
  • Personnel trained and demonstrate competency
  • Process consistently produces batches meeting specifications
  • Environmental monitoring executing according to contamination control strategy and generating data
  • Quality systems actively used (deviations documented, investigations completed, CAPA plans implemented)
  • Data integrity controls functioning (audit trails enabled, electronic records secure)
  • Work-as-Done matches Work-as-Imagined 

Assessment Methods:

  • Observation of operations
  • Review of batch records and deviations
  • Interviews with operators and otherstaff
  • Trending of process data (yields, cycle times, in-process controls)
  • Audit of training records and competency assessments
  • Inspection of actual manufacturing runs (not simulations)

Alignment with PreCheck: This is what Phase 2 (Application Submission) evaluates, particularly during the PAI/PLI (if one is conducted). The FDA inspector observes operations, reviews batch records, and verifies that the process described in the CMC section is actually being executed.

Alignment with EMA: This corresponds to the pre-approval GMP inspection requested by the CHMP if the facility has not been recently inspected.

Inspection Outcome: If a facility is “In Use,” it means the systems are functional. But it does not guarantee that the systems will remain functional over time or that the organization can detect and correct drift.

Stage 3: In Control (Sustained Performance)

Definition: Systems maintain validated state through continuous verification, trend analysis, and proactive improvement.

This is the output of Stage 3 Process Validation (Continued Process Verification). It answers the question: “Does the facility have the organizational discipline to sustain compliance?”

Key Elements:

  • Statistical process control (SPC) implemented to detect trends and shifts
  • Routine monitoring identifies drift before it becomes deviation
  • Root cause analysis is rigorous and identifies systemic issues, not just proximate causes
  • CAPA effectiveness is verified—corrective actions prevent recurrence
  • Process capability is quantified and improving (Cp, Cpk trending upward)
  • Annual Product Reviews drive process improvements
  • Knowledge management systems capture learnings from deviations, investigations, and inspections
  • Quality culture is embedded—staff at all levels understand their role in maintaining control
  • The organization actively seeks to falsify its own assumptions (the core principle of this blog)

Assessment Methods:

  • Trending of process capability indices over time
  • Review of Annual Product Reviews and management review meetings
  • Audit of CAPA effectiveness (do similar deviations recur?)
  • Statistical analysis of deviation rates and types
  • Assessment of organizational culture (e.g., FDA’s QMM assessment)
  • Evaluation of how the facility responds to “near-misses” and “weak signals”[blog]

Alignment with PreCheck: This is not explicitly evaluated in PreCheck as currently designed. PreCheck Phase 1 and Phase 2 focus on facility design and process execution, but do not assess long-term performance or organizational maturity.

However, the inclusion of Quality Management Maturity (QMM) practices in the Type V DMF is an attempt to evaluate this dimension. A facility with mature QMM practices is, in theory, more likely to remain “In Control” over time.

This also corresponds to routine re-inspections conducted every 1-3 years. The purpose of these inspections is not to re-validate the facility (which is already licensed), but to verify that the facility has maintained its validated state and has not accumulated unresolved compliance drift.

Inspection Outcome: If a facility is “In Control,” it means the organization has demonstrated sustained capability to manufacture products reliably. This is the goal of all GMP systems, but it is the hardest state to verify because it requires longitudinal data and cultural assessment, not just a snapshot inspection.

Mapping the Framework to Regulatory Timelines

The three-stage framework provides a logic for when and how to conduct regulatory inspections.

StageTimingEvaluation MethodFDA EquivalentEMA EquivalentFailure Mode
In PlaceBefore operations beginDesign review, document audit, installation verificationPreCheck Phase 1 (Facility Readiness)Initial GMP inspection for licenseFacility design flaws, inadequate documentation, unqualified equipment
In UseDuring early operationsProcess performance, batch record review, observation of operationsPreCheck Phase 2 / PAI/PLIPre-approval inspection (if needed)Process failures, operator errors, inadequate training, poor execution
In ControlOngoing (post-approval)Trend analysis, statistical monitoring, culture assessmentRoutine surveillance inspections, QMM assessmentRoutine re-inspections (1-3 years)Process drift, CAPA ineffectiveness, organizational complacency, systemic failures

The current PAI/PLI model collapses “In Place,” “In Use,” and “In Control” into a single inspection event conducted at the worst possible time (near PDUFA). This creates the illusion that a facility’s compliance status can be determined in 5-10 days.

PreCheck separates “In Place” (Phase 1) from “In Use” (Phase 2), which is a significant improvement. But it still does not address the hardest question: how do we know a facility will remain “In Control” over time?

The answer is: you don’t. Not from a one-time inspection. You need continuous verification.

This is the insight embedded in the FDA’s 2011 process validation guidance: validation is not an event, it is a lifecycle. The validated state must be maintained through Stage 3 Continued Process Verification.

The same logic applies to facilities. A facility is not “validated” by passing a single PAI. It is validated by demonstrating control over time.

PreCheck needs to be part of a wider model at the FDA:

  1. Allow facilities that complete Phase 1 to earn presumption of compliance for future product applications (reducing PAI frequency)
  2. Implement more robust routine surveillance inspections on a 1-3 year cycle to verify “In Control” status. The data shows how much the FDA is missing this target.
  3. Adjust inspection frequency dynamically based on the facility’s performance (low-risk facilities inspected less often, high-risk facilities more often)

This is the system the industry is asking for. It is the system the FDA could build on the foundation of PreCheck—if it commits to the long-term vision.

The Quality Experience Must Be Brought In at Design—And Most Companies Get This Wrong

PreCheck’s most important innovation is not its timeline or its documentation requirements. It is the implicit philosophical claim that facilities can be made better by involving quality experts at the design phase, not at the commissioning phase.

This is a radical departure from current practice. In most pharmaceutical manufacturing projects, the sequence is:

  1. Engineering designs the facility (architecture, HVAC, water systems, equipment layout)
  2. Procurement procures equipment based on engineering specs
  3. Construction builds the facility
  4. Commissioning and qualification begin (and quality suddenly becomes relevant)

Quality is brought in too late. By the time a quality professional reviews a facility design, the fundamental decisions—pipe routing, equipment locations, air handling unit sizing, cleanroom pressure differentials—have already been made. Suggestions to change the design are met with “we can’t change that now, we’ve already ordered the equipment” or “that’s going to add 3 months to the project and cost $500K.”

This is Quality-by-Testing (QbT): design first, test for compliance later, and hope the test passes.

PreCheck, by contrast, asks manufacturers to submit facility designs to the FDA during the design phase, while the designs are still malleable. The FDA can identify compliance gaps—inadequate environmental monitoring locations, cleanroom pressure challenges, segregation inadequacies, data integrity risks—before construction begins.

This is the beginning of Quality-by-Design (QbD) applied to facilities.

But for PreCheck to work—for Phase 1 to actually prevent facility disasters—manufacturers must embed quality expertise in the design process from the start. And most companies do not do this well.

The “Quality at the End” Trap

The root cause is organizational structure and financial incentives. In a typical pharmaceutical manufacturing project:

  • Engineering owns the timeline and the budget
  • Quality is invited to the party once the facility is built
  • Operations is waiting in the wings to take over once everything is “validated”

Each function optimizes locally:

  • Engineering optimizes for cost and schedule (build it fast, build it cheap)
  • Quality optimizes for compliance (every SOP written, every deviation documented)
  • Operations optimizes for throughput (run as many batches as possible per week)

Nobody optimizes for “Will this facility sustainably produce quality products?”—which is a different optimization problem entirely.

Bringing a quality professional into the design phase requires:

  • Allocating budget for quality consultation during design (not just during qualification)
  • Slowing the design phase to allow time for risk assessments and tradeoff discussions
  • Empowering quality to say “no” to designs that meet engineering requirements but fail quality risk management
  • Building quality leadership into the project from the kickoff, not adding it in Phase 3

Most companies treat this as optional. It is not optional if you want PreCheck to work.

Why Most Companies Fail to Do This Well

Despite the theoretical importance of bringing quality into design, most pharmaceutical companies still treat design-phase quality as a non-essential activity. Several reasons explain this:

1. Quality Does Not Own a Budget Line

In a manufacturing project, the Engineering team has a budget (equipment, construction, contingency). Operations has a budget (staffing, training). Quality typically has no budget allocation for the design phase. Quality professionals are asked to contribute their “expertise” without resources, timeline allocation, or accountability.

The result: quality advice is given in meetings but not acted upon, because there are no resources to implement it.

2. Quality Experience Is Scarce

The pharmaceutical industry has a shortage of quality professionals with deep experience in facility design, contamination control, data integrity architecture, and process validation. Many quality people come from a compliance background (inspections, audits, documentation) rather than a design background (risk management, engineering, systems thinking).

When a designer asks, “What should we do about data integrity?” the compliance-oriented quality person says, “We’ll need SOPs and training programs.” But the design-oriented quality person says, “We need to architect the IT infrastructure such that changes are logged and cannot be backdated. Here’s what that requires…”

The former approach adds cost and schedule. The latter approach prevents problems.

3. The Design Phase Is Urgent

Pharmaceutical companies operate under intense pressure to bring new facilities online as quickly as possible. The design phase is compressed—schedules are aggressive, meetings are packed, decisions are made rapidly.

Adding quality review to the design phase is perceived as slowing the project down. A quality person who carefully works through a contamination control strategy (“Wait, have we tested whether the airflow assumption holds at scale? Do we understand the failure modes?”) is seen as a bottleneck.

The company that brings in quality expertise early pays a perceived cost (delay, complexity) and receives a delayed benefit (better operations, fewer deviations, smoother inspections). In a pressure-cooker environment, the delayed benefit is not valued.

4. Quality Experience Is Not Integrated Across the Organization

In a some pharmaceutical company, quality expertise is fragmented:

  • Quality Assurance handles deviations and investigations
  • Quality Control runs the labs
  • Regulatory Affairs manages submissions
  • Process Validation leads qualification projects

None of these groups are responsible for facility design quality. So it falls to no one, and it ends up being everyone’s secondary responsibility—which means it is no one’s primary responsibility.

A company with an integrated quality culture would have a quality leader who is accountable for the design, and who has authority to delay the project if critical risks are not addressed. Most companies do not have this structure.

What PreCheck Requires: The Quality Experience in Design

For PreCheck to deliver its promised benefits, companies participating in Phase 1 must make a commitment that quality expertise is embedded throughout design.

Specifically:

1. Quality leadership is assigned early – Someone in quality (not engineering, not operations) is accountable for quality risk management in the facility design from Day 1.

2. Quality has authority to influence design – The quality leader can say “no” to designs that create unacceptable quality risks, even if the design meets engineering specifications.

3. Quality risk management is performed systematically – Not just “quality review of designs,” but structured risk management identifying critical quality risks and mitigation strategies.

4. Design Qualification includes quality experts – DQ is not just engineering verification that design meets specs; it includes quality verification that design enables quality control.

5. Contamination control is designed, not tested – Environmental monitoring strategies, microbial testing plans, and statistical approaches are designed into the facility, not bolted on during commissioning.

6. Data integrity is architected – IT systems are designed to prevent data manipulation, not as an afterthought.

7. The organization is aligned on what “quality” means – Not compliance (“checking boxes”), but the organizational discipline to sustain control and to detect and correct drift before it becomes a failure.

This is fundamentally a cultural commitment. It is about believing that quality is not something you add at the end; it is something you design in.

The FDA’s Unspoken Expectation in PreCheck Phase 1

When the FDA reviews a Type V DMF in PreCheck Phase 1, the agency is asking: “Did this manufacturer apply quality expertise to the design?”

How does the FDA assess this? By looking for:

  • Risk assessments that show systematic thinking, not checkbox compliance
  • Design decisions that are justified by quality risk management, not just engineering convenience
  • Contamination control strategies that are grounded in understanding the failure modes
  • Data integrity architectures that prevent (not just detect) problems
  • Quality systems that are designed to evolve and improve, not static and reactive

If the Type V DMF reads like it was prepared by an engineering firm that called quality for comments, the FDA will see it. If it reads like it was co-developed by quality and engineering with equal voice, the FDA will see that too.

PreCheck Phase 1 is not just a design review. It is a quality culture assessment.

And this is why most companies are not ready for PreCheck. Not because they lack the engineering capability to design a facility. But because they lack the quality experience, organizational structure, and cultural commitment to bring quality into the design process as a peer equal to engineering.

Companies that participate in PreCheck with a transactional mindset—”Let’s submit our designs to the FDA and get early feedback”—will get some benefit. They will catch some design issues early.

But companies that participate with a transformational mindset—”We are going to redesign how we approach facility development to embed quality from the start”—will get deeper benefits. They will build facilities that are easier to operate, that generate fewer deviations, that demonstrate sustained control over time, and that will likely pass future inspections without significant findings.

The choice is not forced on the company by PreCheck. PreCheck is voluntary; you can choose the transactional approach.

But if you want the regulatory trust that PreCheck is supposed to enable—if you want the FDA to accept your facility as “ready” with minimal re-inspection—you need to bring the quality experience in at design.

That is what Phase 1 actually measures.

The Epistemology of Trust

Regulatory inspections are not merely compliance checks. They are trust-building mechanisms.

When the FDA inspector walks into a facility, the question is not “Does this facility have an SOP for cleaning validation?” (It does. Almost every facility does.) The question is: “Can I trust that this facility will produce quality products consistently, even when I am not watching?”

Trust cannot be established in 5 days.

Trust is built through:

  • Repeated interactions over time
  • Demonstrated capability under varied conditions
  • Transparency when failures occur
  • Evidence of learning from those failures

The current PAI/PLI model attempts to establish trust through a single high-stakes audit. This is like trying to assess a person’s character by observing them for one hour during a job interview. It is better than nothing, but it is not sufficient.

PreCheck is a step toward a trust-building system. By engaging early (Phase 1) and providing continuity into the application review (Phase 2), the FDA can develop a relationship with the manufacturer rather than a one-off transaction.

But PreCheck as currently proposed is still transactional. It is a program for new facilities. It does not create a facility lifecycle framework. It does not provide a pathway for facilities to earn cumulative trust over multiple products.

The FDA could do this—if it commits to three principles:

1. Decouple facility inspections from product applications.

Facilities should be assessed independently and granted a facility certificate (or equivalent) that can be referenced by multiple products. This separates facility remediation from product approval timelines and prevents the cascade failures we see in the current system.

2. Recognize that “In Control” is not a state achieved once, but a discipline maintained continuously.

The FDA’s own process validation guidance says this explicitly: validation is a lifecycle, not an event. The same logic must apply to facilities. A facility is not “GMP compliant” because it passed one inspection. It is GMP compliant because it has demonstrated, over time, the organizational discipline to detect and correct failures before they reach patients.

PreCheck could be the foundation for this system. But only if the FDA is willing to embrace the full implication of what it has started: that regulatory trust is earned through sustained performance, and that the agency’s job is not to catch failures through surprise inspections, but to partner with manufacturers in building systems that are designed to reveal their own weaknesses.

This is the principle of falsifiable quality applied to regulatory oversight. A quality system that cannot be proven wrong is a quality system that cannot be trusted. A facility that fears inspection is a facility that has not internalized the discipline of continuous verification.

The facilities that succeed under PreCheck—and under any future evolution of this system—will be those that understand that “In Place, In Use, In Control” is not a checklist to complete, but a philosophy to embody.

Sources

Equipment Lifecycle Management in the Eyes of the FDA

The October 2025 Warning Letter to Apotex Inc. is fascinating not because it reveals anything novel about FDA expectations, but because it exposes the chasm between what we know we should do and what we actually allow to happen on our watch. Evaluate it together with what we are seeing for Complete Response Letter (CRL) data, we can see that companies continue to struggle with the concept of equipment lifecycle management.

This isn’t about a few leaking gloves or deteriorated gaskets. This is about systemic failure in how we conceptualize, resource, and execute equipment management across the entire GMP ecosystem. Let me walk you through what the Apotex letter really tells us, where the FDA is heading next, and why your current equipment qualification program is probably insufficient.

The Apotex Warning Letter: A Case Study in Lifecycle Management Failure

The FDA’s Warning Letter to Apotex (WL: 320-26-12, October 31, 2025) reads like a checklist of every equipment lifecycle management failure I’ve witnessed in two decades of quality oversight. The agency cited 21 CFR 211.67(a) equipment maintenance failures, 21 CFR 211.192 inadequate investigations, and 21 CFR 211.113(b) aseptic processing deficiencies. But these citations barely scratch the surface of what actually went wrong.

The Core Failures: A Pattern of Deferral and Neglect

Between September 2023 and April 2025—18 months—Apotex experienced at least eight critical equipment failures during leak testing. Their personnel responded by retesting until they achieved passing results rather than investigating root causes. Think about that timeline. Eight failures over 18 months means a failure every 2-3 months, each one representing a signal that their equipment was degrading. When investigators finally examined the system, they found over 30 leaking areas. This wasn’t a single failure; this was systemic equipment deterioration that the organization chose to work around rather than address.

The letter documents white particle buildup on manufacturing equipment surfaces, particles along conveyor systems, deteriorated gasket seals, and discolored gloves. Investigators observed a six-millimeter glove breach that was temporarily closed with a cable tie before production continued. They found tape applied to “false covers” as a workaround. These aren’t just housekeeping issues—they’re evidence that Apotex had crossed from proactive maintenance into reactive firefighting, and then into dangerous normalization of deviation.

Most damning: Apotex had purchased upgraded equipment nearly a year before the FDA inspection but continued using the deteriorating equipment that was actively generating particles contaminating their nasal spray products. They had the solution in their possession. They chose not to implement it.

The Investigation Gap: Equipment Failures as Quality System Failures

The FDA hammered Apotex on their failure to investigate, but here’s what’s really happening: equipment failures are quality system failures until proven otherwise. When a leak happens , you don’t just replace whatever component leaked. You ask:

  • Why did this component fail when others didn’t?
  • Is this a batch-specific issue or a systemic supplier problem?
  • How many products did this breach potentially affect?
  • What does our environmental monitoring data tell us about the timeline of contamination?
  • Are our maintenance intervals appropriate?

Apotex’s investigators didn’t ask these questions. Their personnel retested until they got passing results—a classic example of “testing into compliance” that I’ve seen destroy quality cultures. The quality unit failed to exercise oversight, and management failed to resource proper root cause analysis. This is what happens when quality becomes a checkbox exercise rather than an operational philosophy.​

BLA CRL Trends: The Facility Equipment Crisis Is Accelerating

The Apotex warning letter doesn’t exist in isolation. It’s part of a concerning trend in FDA enforcement that’s becoming impossible to ignore. Facility inspection concerns dominate CRL justifications. Manufacturing and CMC deficiencies account for approximately 44% of all CRLs. For biologics specifically, facility-related issues are even more pronounced.​

The Biologics-Specific Challenge

Biologics license applications face unique equipment lifecycle scrutiny. The 2024-2025 CRL data shows multiple biosimilars rejected due to third-party manufacturing facility issues despite clean clinical data. Tab-cel (tabelecleucel) received a CRL citing problems at a contract manufacturing organization—the FDA rejected an otherwise viable therapy because the facility couldn’t demonstrate equipment control.​

This should terrify every biotech quality leader. The FDA is telling us: your clinical data is worthless if your equipment lifecycle management is suspect. They’re not wrong. Biologics manufacturing depends on consistent equipment performance in ways small molecule chemistry doesn’t. A 0.2°C deviation in a bioreactor temperature profile, caused by a poorly maintained chiller, can alter glycosylation patterns and change the entire safety profile of your product. The agency knows this, and they’re acting accordingly.

The Top 10 Facility Equipment Deficiencies Driving CRLs

Genesis AEC’s analysis of 200+ CRLs identified consistent equipment lifecycle themes:​

  1. Inadequate Facility Segregation and Flow (cross-contamination risks from poor equipment placement)
  2. Missing or Incomplete Commissioning & Qualification (especially HVAC, WFI, clean steam systems)
  3. Fire Protection and Hazardous Material Handling Deficiencies (equipment safety systems)
  4. Critical Utility System Failures (WFI loops with dead legs, inadequate sanitization)
  5. Environmental Monitoring System Gaps (manual data recording, lack of 21 CFR Part 11 compliance)
  6. Container Closure and Packaging Validation Issues (missing extractables/leachables data, CCI testing gaps)
  7. Inadequate Cleanroom Classification and Control (ISO 14644 and EU Annex 1 compliance failures)
  8. Lack of Preventive Maintenance and Asset Management (missing calibration records, unclear maintenance responsibilities)
  9. Inadequate Documentation and Change Control (HVAC setpoint changes without impact assessment)
  10. Sustainability and Environmental Controls Overlooked (temperature/humidity excursions affecting product stability)

Notice what’s not on this list? Equipment selection errors. The FDA isn’t seeing companies buy the wrong equipment. They’re seeing companies buy the right equipment and then fail to manage it across its lifecycle. This is a crucial distinction. The problem isn’t capital allocation—it’s operational execution.

FDA’s Shift to “Equipment Lifecycle State of Control”

The FDA has introduced a significant conceptual shift in how they discuss equipment management. The Apotex Warning Letter is part of the agency’s new emphasis on “equipment lifecycle state of control” . This isn’t just semantic gamesmanship. It represents a fundamental understanding that discrete qualification events are not enough and that continuous lifecycle management is long overdue.

What “State of Control” Actually Means

Traditional equipment qualification followed a linear path: DQ → IQ → OQ → PQ → periodic requalification. State of control means:

  • Continuous monitoring of equipment performance parameters, not just periodic checks
  • Predictive maintenance based on performance data, not just manufacturer-recommended intervals
  • Real-time assessment of equipment degradation signals (particle generation, seal wear, vibration changes)
  • Integrated change management that treats equipment modifications as potential quality events
  • Traceable decision-making about when to repair, refurbish, or retire equipment

The FDA is essentially saying: qualification is a snapshot; state of control is a movie. And they want to see the entire film, not just the trailer.

This aligns perfectly with the agency’s broader push toward Quality Management Maturity. As I’ve previously written about QMM, the FDA is moving away from checking compliance boxes and toward evaluating whether organizations have the infrastructure, culture, and competence to manage quality dynamically. Equipment lifecycle management is the perfect test case for this shift because equipment degradation is inevitable, predictable, and measurable. If you can’t manage equipment lifecycle, you can’t manage quality.​

Global Regulatory Convergence: WHO, EMA, and PIC/S Perspectives

The FDA isn’t operating in a vacuum. Global regulators are converging on equipment lifecycle management as a critical inspection focus, though their approaches differ in emphasis.

EMA: The Annex 15 Lifecycle Approach

EMA’s process validation guidance explicitly requires IQ, OQ, and PQ for equipment and facilities as part of the validation lifecycle. Unlike FDA’s three-stage process validation model, EMA frames qualification as ongoing throughout the product lifecycle. Their 2023 revision of Annex 15 emphasizes:​

  • Validation Master Plans that include equipment lifecycle considerations
  • Ongoing Process Verification that incorporates equipment performance data
  • Risk-based requalification triggered by changes, deviations, or trends
  • Integration with Product Quality Reviews (PQRs) to assess equipment impact on product quality

The EMA expects you to prove your equipment remains qualified through annual PQRs and continuous data review having been more explicit about a lifecycle approach for years.

PIC/S: The Change Management Imperative

PIC/S PI 054-1 on change management provides crucial guidance on equipment lifecycle triggers. The document explicitly identifies equipment upgrades as changes that require formal assessment, planning, and implementation controls. Critically, PIC/S emphasizes:​

  • Interim controls when equipment issues are identified but not yet remediated
  • Post-implementation monitoring to ensure changes achieve intended risk reduction
  • Documentation of rejected changes, especially those related to quality/safety hazard mitigation

The Apotex case is a PIC/S textbook violation: they identified equipment deterioration (hazard), purchased upgraded equipment (change proposal), but failed to implement it with appropriate interim controls or timeline management. The result was continued production with deteriorating equipment—exactly what PIC/S guidance is designed to prevent.

WHO: The Resource-Limited Perspective

WHO’s equipment lifecycle guidance, while focused on medical equipment in low-resource settings, offers surprisingly relevant insights for GMP facilities. Their framework emphasizes:​

  • Planning based on lifecycle cost, not just purchase price
  • Skill development and training as core lifecycle components
  • Decommissioning protocols that ensure data integrity and product segregation

The WHO model is refreshingly honest about resource constraints, which applies to many GMP facilities facing budget pressure. Their key insight: proper lifecycle management actually reduces total cost of ownership by 3-10x compared to run-to-failure approaches. This is the business case that quality leaders need to make to CFOs who view maintenance as a cost center.​

The Six-System Inspection Model: Where Equipment Lifecycle Fits

FDA’s Six-System Inspection Model—particularly the Facilities and Equipment System—provides the structural framework for understanding equipment lifecycle requirements. As I’ve previously written, this system “ensures that facilities and equipment are suitable for their intended use and maintained properly” with focus on “design, maintenance, cleaning, and calibration.”​

The Interconnectedness Problem

Here’s where many organizations fail: they treat the six systems as silos. Equipment lifecycle management bleeds across all of them:

  • Production System: Equipment performance directly impacts process capability
  • Laboratory Controls: Analytical equipment lifecycle affects data integrity
  • Materials System: Equipment changes can affect raw material compatibility
  • Packaging and Labeling: Equipment modifications require revalidation
  • Quality System: Equipment deviations trigger CAPA and change control

The Apotex warning letter demonstrates this interconnectedness perfectly. Their equipment failures (Facilities & Equipment) led to container-closure integrity issues (Packaging), which they failed to investigate properly (Quality), resulting in distributed product that was potentially adulterated (Production). The FDA’s response required independent assessments of investigations, CAPA, and change management—three separate systems all impacted by equipment lifecycle failures.

The “State of Control” Assessment Questions

If FDA inspectors show up tomorrow, here’s what they’ll ask about your equipment lifecycle management:

  1. Design Qualification: Do your User Requirements Specifications include lifecycle maintenance requirements? Are you specifying equipment with modular upgrade paths, or are you buying disposable assets?
  2. Change Management: When you purchase upgraded equipment, what triggers its implementation? Is there a formal risk assessment linking equipment deterioration to product quality? Or do you wait for failures?
  3. Preventive Maintenance: Are your PM intervals based on manufacturer recommendations, or on actual performance data? Do you have predictive maintenance programs using vibration analysis, thermal imaging, or particle counting?
  4. Decommissioning: When equipment reaches end-of-life, do you have formal retirement protocols that assess data integrity impact? Or does old equipment sit in corners of the cleanroom “just in case”?
  5. Training: Do your operators understand equipment lifecycle concepts? Can they recognize early degradation signals? Or do they just call maintenance when something breaks?

These aren’t theoretical questions. They’re directly from recent 483 observations and CRL deficiencies.​

The Business Case: Why Equipment Lifecycle Management Is Economic Imperative

Let’s be blunt: the pharmaceutical industry has treated equipment as a capital expense to be minimized, not an asset to be optimized. This is catastrophically wrong. The Apotex warning letter shows the true cost of this mindset:

  • Product recalls: Multiple ophthalmic and oral solutions recalled
  • Production suspension: Sterile manufacturing halted
  • Independent assessments: Required third-party evaluation of entire quality system
  • Reputational damage: Public warning letter, potential import alert
  • Opportunity cost: Products stuck in regulatory limbo while competitors gain market share

Contrast this with the investment required for proper lifecycle management:

  • Predictive maintenance systems: $50,000-200,000 for sensors and software
  • Enhanced training programs: $10,000-30,000 annually
  • Lifecycle documentation systems: $20,000-100,000 implementation
  • Total: Less than the cost of a single batch recall

The ROI is undeniable. Equipment lifecycle management isn’t a cost center—it’s risk mitigation with quantifiable financial returns.

The CFO Conversation

I’ve had this conversation with CFOs more times than I can count. Here’s what works:

Don’t say: “We need more maintenance budget.”

Say: “Our current equipment lifecycle risk exposure is $X million based on recent CRL trends and warning letters. Investing $Y in lifecycle management reduces that risk by Z% and extends asset utilization by 2-3 years, deferring $W million in capital expenditures.”

Bring data. Show them the Apotex letter. Show them the Tab-cel CRL. Show them the 51 CRLs driven by facility concerns. CFOs understand risk-adjusted returns. Frame equipment lifecycle management as portfolio risk management, not engineering overhead.

Practical Framework: Building an Equipment Lifecycle Management Program

Enough theory. Here’s the practical framework I’ve implemented across multiple DS facilities, refined through inspections, and validated against regulatory expectations.

Phase 1: Asset Criticality Assessment

Not all equipment deserves equal lifecycle attention. Use a risk-based approach:

Criticality Class A (Direct Impact): Equipment whose failure directly impacts product quality, safety, or efficacy. Bioreactors, purification skids, sterile filling lines, environmental monitoring systems. These require full lifecycle management including continuous monitoring, predictive maintenance, and formal retirement protocols.

Criticality Class B (Indirect Impact): Equipment whose failure impacts GMP environment but not direct product attributes. HVAC units, WFI systems, clean steam generators. These require enhanced lifecycle management with robust PM programs and performance trending.

Criticality Class C (No Impact): Non-GMP equipment. Standard maintenance practices apply.

Phase 2: Lifecycle Documentation Architecture

Create a master equipment lifecycle file for each Class A and B asset containing:

  1. User Requirements Specification with lifecycle maintenance requirements
  2. Design Qualification including maintainability and upgrade path assessment
  3. Commissioning Protocol (IQ/OQ/PQ) with acceptance criteria that remain valid throughout lifecycle
  4. Maintenance Master Plan defining PM intervals, spare parts strategy, and predictive monitoring
  5. Performance Trending Protocol specifying parameters to monitor, alert limits, and review frequency
  6. Change Management History documenting all modifications with impact assessment
  7. Retirement Protocol defining end-of-life triggers and data migration requirements

As I’ve written about in my posts on GMP-critical systems, documentation must be living documents that evolve with the asset, not static files that gather dust after qualification.​

Phase 3: Predictive Maintenance Implementation

Move beyond manufacturer-recommended intervals to condition-based maintenance:

  • Vibration analysis for rotating equipment (pumps, agitators)
  • Thermal imaging for electrical systems and heat transfer equipment
  • Particle counting for cleanroom equipment and filtration systems
  • Pressure decay testing for sterile barrier systems
  • Oil analysis for hydraulic and lubrication systems

The goal is to detect degradation 6-12 months before failure, allowing planned intervention during scheduled shutdowns.

Phase 4: Integrated Change Control

Equipment changes must flow through formal change control with:

  • Technical assessment by engineering and quality
  • Risk evaluation using FMEA or similar tools
  • Regulatory assessment for potential prior approval requirements
  • Implementation planning with interim controls if needed
  • Post-implementation review to verify effectiveness

The Apotex case shows what happens when you skip the interim controls. They identified the need for upgraded equipment (change) but failed to implement the necessary bridge measures to ensure product quality while waiting for that equipment to come online. They allowed the “future state” (new equipment) to become an excuse for neglecting the “current state” (deteriorating equipment).

This is a failure of Change Management Logic. In a robust quality system, the moment you identify that equipment requires replacement due to performance degradation, you have acknowledged a risk. If you cannot replace it immediately—due to capital cycles, lead times, or qualification timelines—you must implement interim controls to mitigate that risk.

For Apotex, those interim controls should have been:

  • Reduced run durations to minimize stress on failing seals.
  • Increased sampling plans (e.g., 100% leak testing verification or enhanced AQLs).
  • Shortened maintenance intervals (replacing gaskets every batch instead of every campaign).
  • Enhanced environmental monitoring focused specifically on the degrade zones.

Instead, they did nothing. They continued business as usual, likely comforting themselves with the purchase order for the new machine. The FDA’s response was unambiguous: A purchase order is not a CAPA. Until the new equipment is qualified and operational, your legacy equipment must remain in a state of control, or production must stop. There is no regulatory “grace period” for deteriorating assets.

Phase 5: The Cultural Shift—From “Repair” to “Reliability”

The final and most difficult phase of this framework is cultural. You cannot write a SOP for this; you have to lead it.

Most organizations operate on a “Break-Fix” mentality:

  1. Equipment runs until it alarms or fails.
  2. Maintenance fixes it.
  3. Quality investigates (or papers over) the failure.
  4. Production resumes.

The FDA’s “Lifecycle State of Control” demands a “Predict-Prevent” mentality:

  1. Equipment is monitored for degradation signals (vibration, heat, particle counts).
  2. Maintenance intervenes before failure limits are reached.
  3. Quality reviews trends to confirm the intervention was effective.
  4. Production continues uninterrupted.

To achieve this, you need to change how you incentivize your teams. Stop rewarding “heroic” fixes at 2 AM. Start rewarding the boring, invisible work of preventing the failure in the first place. As I’ve written before regarding Quality Management Maturity (QMM), mature quality systems are quiet systems. Chaos is not a sign of hard work; it’s a sign of lost control.

Conclusion: The Choice Before Us

The warning letter to Apotex Inc. and the rising tide of facility-related CRLs are not random compliance noise. They are signal flares. The regulatory expectations for equipment management have fundamentally shifted from static qualification (Is it validated?) to dynamic lifecycle management (Is it in a state of control right now?).

The FDA, EMA, and PIC/S have converged on a single truth: You cannot assure product quality if you cannot guarantee equipment performance.

We are at an inflection point. The industry’s aging infrastructure, combined with the increasing complexity of biologic processes and the unforgiving nature of residue control, has created a perfect storm. We can no longer treat equipment maintenance as a lower-tier support function. It is a core GMP activity, equal in criticality to batch record review or sterility testing.

As Quality Leaders, we have two choices:

  1. The Apotex Path: Treat equipment upgrades as capital headaches to be deferred. Ignore the “minor” leaks and “insignificant” residues. Let the maintenance team bandage the wounds while we focus on “strategic” initiatives. This path leads to 483s, warning letters, CRLs, and the excruciating public failure of seeing your facility’s name in an FDA press release.
  2. The Lifecycle Path: Embrace the complexity. Resource the predictive maintenance programs. Validate the residue removal. Treat every equipment change as a potential risk to patient safety. Build a system where equipment reliability is the foundation of your quality strategy, not an afterthought.

The second path is expensive. It is technically demanding. It requires fighting for budget dollars that don’t have immediate ROI. But it allows you to sleep at night, knowing that when—not if—the FDA investigator asks to see your equipment maintenance history, you won’t have to explain why you used a cable tie to fix a glove port.

You’ll simply show them the data that proves you’re in control.

Choose wisely.

Equipment Qualification for Multi-Purpose Manufacturing: Mastering Process Transitions with Single-Use Systems

In today’s pharmaceutical and biopharmaceutical manufacturing landscape, operational agility through multi-purpose equipment utilization has evolved from competitive advantage to absolute necessity. The industry’s shift toward personalized medicines, advanced therapies, and accelerated development timelines demands manufacturing systems capable of rapid, validated transitions between different processes and products. However, this operational flexibility introduces complex regulatory challenges that extend well beyond basic compliance considerations.

As pharmaceutical professionals navigate this dynamic environment, equipment qualification emerges as the cornerstone of a robust quality system—particularly when implementing multi-purpose manufacturing strategies with single-use technologies. Having guided a few organizations through these qualification challenges over the past decade, I’ve observed a fundamental misalignment between regulatory expectations and implementation practices that creates unnecessary compliance risk.

In this post, I want to explore strategies for qualifying equipment across different processes, with particular emphasis on leveraging single-use technologies to simplify transitions while maintaining robust compliance. We’ll explore not only the regulatory framework but the scientific rationale behind qualification requirements when operational parameters change. By implementing these systematized approaches, organizations can simultaneously satisfy regulatory expectations and enhance operational efficiency—transforming compliance activities from burden to strategic advantage.

The Fundamentals: Equipment Requalification When Parameters Change

When introducing a new process or expanding operational parameters, a fundamental GMP requirement applies: equipment qualification ranges must undergo thorough review and assessment. Regulatory guidance is unambiguous on this point: Whenever a new process is introduced the qualification ranges should be reviewed. If equipment has been qualified over a certain range and is required to operate over a wider range than before, prior to use it should be re-qualified over the wider range.

This requirement stems from the scientific understanding that equipment performance characteristics can vary significantly across different operational ranges. Temperature control systems that maintain precise stability at 37°C may exhibit unacceptable variability at 4°C. Mixing systems designed for aqueous formulations may create detrimental shear forces when processing more viscous products. Control algorithms optimized for specific operational setpoints might perform unpredictably at the extremes of their range.

There are a few risk-based models of verification, such as the 4Q qualification model—consisting of Design Qualification (DQ), Installation Qualification (IQ), Operational Qualification (OQ), and Performance Qualification (PQ)— or the W-Model which can provide a structured framework for evaluating equipment performance across varied operating conditions. These widely accepted approaches ensures comprehensive verification that equipment will consistently produce products meeting quality requirements. For multi-purpose equipment specifically, the Performance Qualification phase takes on heightened importance as it confirms consistent performance under varied processing conditions.

I cannot stress the importance of risk based approach of ASTM E2500 here which emphasizes a flexible verification strategy focused on critical aspects that directly impact product quality and patient safety. ASTM E2500 integrates several key principles that transform equipment qualification from a documentation exercise to a scientific endeavor:

Risk-based approach: Verification activities focus on critical aspects with the potential to affect product quality, with the level of effort and documentation proportional to risk. As stated in the standard, “The evaluation of risk to quality should be based on scientific knowledge and ultimately link to the protection of the patient”.

  • Science-based decisions: Product and process information, including critical quality attributes (CQAs) and critical process parameters (CPPs), drive verification strategies. This ensures that equipment verification directly connects to product quality requirements.
  • Quality by Design integration: Critical aspects are designed into systems during development rather than tested in afterward, shifting focus from testing quality to building it in from the beginning.
  • Subject Matter Expert (SME) leadership: Technical experts take leading roles in verification activities appropriate to their areas of expertise.
  • Good Engineering Practice (GEP) foundation: Engineering principles and practices underpin all specification, design, and verification activities, creating a more technically robust approach to qualification

Organizations frequently underestimate the technical complexity and regulatory significance of equipment requalification when operational parameters change. The common misconception that equipment qualified for one process can simply be repurposed for another without formal assessment creates not only regulatory vulnerability but tangible product quality risks. Each expansion of operational parameters requires systematic evaluation of equipment capabilities against new requirements—a scientific approach rather than merely a documentation exercise.

Single-Use Systems: Revolutionizing Multi-Purpose Manufacturing

Single-use technologies (SUT) have fundamentally transformed how organizations approach process transitions in biopharmaceutical manufacturing. By eliminating cleaning validation requirements and dramatically reducing cross-contamination risks, these systems enable significantly more rapid equipment changeovers between different products and processes. However, this operational advantage comes with distinct qualification considerations that require specialized expertise.

The qualification approach for single-use systems differs fundamentally from traditional stainless equipment due to the redistribution of quality responsibility across the supply chain. I conceptualize SUT validation as operating across three interconnected domains, each requiring distinct validation strategies:

  1. Process operation validation: This domain focuses on the actual processing parameters, aseptic operations, product hold times, and process closure requirements specific to each application. For multi-purpose equipment, this validation must address each process’s unique requirements while ensuring compatibility across all intended applications.
  2. Component manufacturing validation: This domain centers on the supplier’s quality systems for producing single-use components, including materials qualification, manufacturing controls, and sterilization validation. For organizations implementing multi-purpose strategies, supplier validation becomes particularly critical as component properties must accommodate all intended processes.
  3. Supply chain process validation: This domain ensures consistent quality and availability of single-use components throughout their lifecycle. For multi-purpose applications, supply chain robustness takes on heightened importance as component variability could affect process consistency across different applications.

This redistribution of quality responsibility creates both opportunities and challenges. Organizations can leverage comprehensive vendor validation packages to accelerate implementation, reducing qualification burden compared to traditional equipment. However, this necessitates implementing unusually robust supplier qualification programs that thoroughly evaluate manufacturer quality systems, change control procedures, and extractables/leachables studies applicable across all intended process conditions.

When qualifying single-use systems for multi-purpose applications, material science considerations become paramount. Each product formulation may interact differently with single-use materials, potentially affecting critical quality attributes through mechanisms like protein adsorption, leachable compound introduction, or particulate generation. These product-specific interactions must be systematically evaluated for each application, requiring specialized analytical capabilities and scientifically sound acceptance criteria.

Proving Effective Process Transitions Without Compromising Quality

For equipment designed to support multiple processes, qualification must definitively demonstrate the system can transition effectively between different applications without compromising performance or product quality. This demonstration represents a frequent focus area during regulatory inspections, where the integrity of product changeovers is routinely scrutinized.

When utilizing single-use systems, the traditional cleaning validation burden is substantially reduced since product-contact components are replaced between processes. However, several critical elements still require rigorous qualification:

Changeover procedures must be meticulously documented with detailed instructions for disassembly, disposal of single-use components, assembly of new components, and verification steps. These procedures should incorporate formal engineering assessments of mechanical interfaces to prevent connection errors during reassembly. Verification protocols should include explicit acceptance criteria for visual inspection of non-disposable components and connection points, with particular attention to potential entrapment areas where residual materials might accumulate.

Product-specific impact assessments represent another critical element, evaluating potential interactions between product formulations and equipment materials. For single-use systems specifically, these assessments should include:

  • Adsorption potential based on product molecular properties, including molecular weight, charge distribution, and hydrophobicity
  • Extractables and leachables unique to each formulation, with particular attention to how process conditions (temperature, pH, solvent composition) might affect extraction rates
  • Material compatibility across the full range of process conditions, including extreme parameter combinations that might accelerate degradation
  • Hold time limitations considering both product quality attributes and single-use material integrity under process-specific conditions

Process parameter verification provides objective evidence that critical parameters remain within acceptable ranges during transitions. This verification should include challenging the system at operational extremes with each product formulation, not just at nominal settings. For temperature-controlled processes, this might include verification of temperature recovery rates after door openings or evaluation of temperature distribution patterns under different loading configurations.

An approach I’ve found particularly effective is conducting “bracketing studies” that deliberately test worst-case combinations of process parameters with different product formulations. These studies specifically evaluate boundary conditions where performance limitations are most likely to manifest, such as minimum/maximum temperatures combined with minimum/maximum agitation rates. This provides scientific evidence that the equipment can reliably handle transitions between the most challenging operating conditions without compromising performance.

When applying the W-model approach to validation, special attention should be given to the verification stages for multi-purpose equipment. Each verification step must confirm not only that the system meets individual requirements but that it can transition seamlessly between different requirement sets without compromising performance or product quality.

Developing Comprehensive User Requirement Specifications

The foundation of effective equipment qualification begins with meticulously defined User Requirement Specifications (URS). For multi-purpose equipment, URS development requires exceptional rigor as it must capture the full spectrum of intended uses while establishing clear connections to product quality requirements.

A URS for multi-purpose equipment should include:

Comprehensive operational ranges for all process parameters across all intended applications. Rather than simply listing individual setpoints, the URS should define the complete operating envelope required for all products, including normal operating ranges, alert limits, and action limits. For temperature-controlled processes, this should specify not only absolute temperature ranges but stability requirements, recovery time expectations, and distribution uniformity standards across varied loading scenarios.

Material compatibility requirements for all product formulations, particularly critical for single-use technologies where material selection significantly impacts extractables profiles. These requirements should reference specific material properties (rather than just general compatibility statements) and establish explicit acceptance criteria for compatibility studies. For pH-sensitive processes, the URS should define the acceptable pH range for all contact materials and specify testing requirements to verify material performance across that range.

Changeover requirements detailing maximum allowable transition times, verification methodologies, and product-specific considerations. This should include clearly defined acceptance criteria for changeover verification, such as visual inspection standards, integrity testing parameters for assembled systems, and any product-specific testing requirements to ensure residual clearance.

Future flexibility considerations that build in reasonable operational margins beyond current requirements to accommodate potential process modifications without complete requalification. This forward-looking approach avoids the common pitfall of qualifying equipment for the minimum necessary range, only to require requalification when minor process adjustments are implemented.

Explicit connections between equipment capabilities and product Critical Quality Attributes (CQAs), demonstrating how equipment performance directly impacts product quality for each application. This linkage establishes the scientific rationale for qualification requirements, helping prioritize testing efforts around parameters with direct impact on product quality.

The URS should establish unambiguous, measurable acceptance criteria that will be used during qualification to verify equipment performance. These criteria should be specific, testable, and directly linked to product quality requirements. For temperature-controlled processes, rather than simply stating “maintain temperature of X°C,” specify “maintain temperature of X°C ±Y°C as measured at multiple defined locations under maximum and minimum loading conditions, with recovery to setpoint within Z minutes after a door opening event.”

Qualification Testing Methodologies: Beyond Standard Approaches

Qualifying multi-purpose equipment requires more sophisticated testing strategies than traditional single-purpose equipment. The qualification protocols must verify performance not only at standard operating conditions but across the full operational spectrum required for all intended applications.

Installation Qualification (IQ) Considerations

For multi-purpose equipment using single-use systems, IQ should verify proper integration of disposable components with permanent equipment, including:

  • Comprehensive documentation of material certificates for all product-contact components, with particular attention to material compatibility with all intended process conditions
  • Verification of proper connections between single-use assemblies and fixed equipment, including mechanical integrity testing of connection points under worst-case pressure conditions
  • Confirmation that utilities meet specifications across all intended operational ranges, not just at nominal settings
  • Documentation of system configurations for each process the equipment will support, including component placement, connection arrangements, and control system settings
  • Verification of sensor calibration across the full operational range, with particular attention to accuracy at the extremes of the required range

The IQ phase should be expanded for multi-purpose equipment to include verification that all components and instrumentation are properly installed to support each intended process configuration. When additional processes are added after the fact a retrospective fit-for-purpose assessment should be conducted and gaps addressed.

Operational Qualification (OQ) Approaches

OQ must systematically challenge the equipment across the full range of operational parameters required for all processes:

  • Testing at operational extremes, not just nominal setpoints, with particular attention to parameter combinations that represent worst-case scenarios
  • Challenge testing under boundary conditions for each process, including maximum/minimum loads, highest/lowest processing rates, and extreme parameter combinations
  • Verification of control system functionality across all operational ranges, including all alarms, interlocks, and safety features specific to each process
  • Assessment of performance during transitions between different parameter sets, evaluating control system response during significant setpoint changes
  • Robustness testing that deliberately introduces disturbances to evaluate system recovery capabilities under various operating conditions

For temperature-controlled equipment specifically, OQ should verify temperature accuracy and stability not only at standard operating temperatures but also at the extremes of the required range for each process. This should include assessment of temperature distribution patterns under different loading scenarios and recovery performance after system disturbances.

Performance Qualification (PQ) Strategies

PQ represents the ultimate verification that equipment performs consistently under actual production conditions:

  • Process-specific PQ protocols demonstrating reliable performance with each product formulation, challenging the system with actual production-scale operations
  • Process simulation tests using actual products or qualified substitutes to verify that critical quality attributes are consistently achieved
  • Multiple assembly/disassembly cycles when using single-use systems to demonstrate reliability during process transitions
  • Statistical evaluation of performance consistency across multiple runs, establishing confidence intervals for critical process parameters
  • Worst-case challenge tests that combine boundary conditions for multiple parameters simultaneously

For organizations implementing the W-model, the enhanced verification loops in this approach provide particular value for multi-purpose equipment, establishing robust evidence of equipment performance across varied operating conditions and process configurations.

Fit-for-Purpose Assessment Table: A Practical Tool

When introducing a new platform product to existing equipment, a systematic assessment is essential. The following table provides a comprehensive framework for evaluating equipment suitability across all relevant process parameters.

ColumnInstructions for Completion
Critical Process Parameter (CPP)List each process parameter critical to product quality or process performance. Include all parameters relevant to the unit operation (temperature, pressure, flow rate, mixing speed, pH, conductivity, etc.). Each parameter should be listed on a separate row. Parameters should be specific and measurable, not general capabilities.
Current Qualified RangeDocument the validated operational range from the existing equipment qualification documents. Include both the absolute range limits and any validated setpoints. Specify units of measurement. Note if the parameter has alerting or action limits within the qualified range. Reference the specific qualification document and section where this range is defined.
New Required RangeSpecify the range required for the new platform product based on process development data. Include target setpoint and acceptable operating range. Document the source of these requirements (e.g., process characterization studies, technology transfer documents, risk assessments). Specify units of measurement identical to those used in the Current Qualified Range column for direct comparison.
Gap AnalysisQuantitatively assess whether the new required range falls completely within the current qualified range, partially overlaps, or falls completely outside. Calculate and document the specific gap (numerical difference) between ranges. If the new range extends beyond the current qualified range, specify in which direction (higher/lower) and by how much. If completely contained within the current range, state “No Gap Identified.”
Equipment Capability AssessmentEvaluate whether the equipment has the physical/mechanical capability to operate within the new required range, regardless of qualification status. Review equipment specifications from vendor documentation to confirm design capabilities. Consult with equipment vendors if necessary to confirm operational capabilities not explicitly stated in documentation. Document any physical limitations that would prevent operation within the required range.
Risk AssessmentPerform a risk assessment evaluating the potential impact on product quality, process performance, and equipment integrity when operating at the new parameters. Use a risk ranking approach (High/Medium/Low) with clear justification. Consider factors such as proximity to equipment design limits, impact on material compatibility, effect on equipment lifespan, and potential failure modes. Reference any formal risk assessment documents that provide more detailed analysis.
Automation CapabilityAssess whether the current automation system can support the new required parameter ranges. Evaluate control algorithm suitability, sensor ranges and accuracy across the new parameters, control loop performance at extreme conditions, and data handling capacity. Identify any required software modifications, control strategy updates, or hardware changes to support the new operating ranges. Document testing needed to verify automation performance across the expanded ranges.
Alarm StrategyDefine appropriate alarm strategies for the new parameter ranges, including warning and critical alarm setpoints. Establish allowable excursion durations before alarm activation for dynamic parameters. Compare new alarm requirements against existing configured alarms, identifying gaps. Evaluate alarm prioritization and ensure appropriate operator response procedures exist for new or modified alarms. Consider nuisance alarm potential at expanded operating ranges and develop mitigation strategies.
Required ModificationsDocument any equipment modifications, control system changes, or additional components needed to achieve the new required range. Include both hardware and software modifications. Estimate level of effort and downtime required for implementation. If no modifications are needed, explicitly state “No modifications required.”
Testing ApproachOutline the specific qualification approach for verifying equipment performance within the new required range. Define whether full requalification is needed or targeted testing of specific parameters is sufficient. Specify test methodologies, sampling plans, and duration of testing. Detail how worst-case conditions will be challenged during testing. Reference any existing protocols that will be leveraged or modified. For single-use systems, address how single-use component integration will be verified.
Acceptance CriteriaDefine specific, measurable acceptance criteria that must be met to demonstrate equipment suitability. Criteria should include parameter accuracy, stability, reproducibility, and control precision. Specify statistical requirements (e.g., capability indices) if applicable. Ensure criteria address both steady-state operation and response to disturbances. For multi-product equipment, include criteria related to changeover effectiveness.
Documented Evidence RequiredList specific documentation required to support the fit-for-purpose determination. Include qualification protocols/reports, engineering assessments, vendor statements, material compatibility studies, and historical performance data. For single-use components, specify required vendor documentation (e.g., extractables/leachables studies, material certificates). Identify whether existing documentation is sufficient or new documentation is needed.
Impact on Concurrent ProductsAssess how qualification activities or equipment modifications for the new platform product might impact other products currently manufactured using the same equipment. Evaluate schedule conflicts, equipment availability, and potential changes to existing qualified parameters. Document strategies to mitigate any negative impacts on existing production.

Implementation Guidelines

The Equipment Fit-for-Purpose Assessment Table should be completed through structured collaboration among cross-functional stakeholders, with each Critical Process Parameter (CPP) evaluated independently while considering potential interaction effects.

  1. Form a cross-functional team including process engineering, validation, quality assurance, automation, and manufacturing representatives. For technically complex assessments, consider including representatives from materials science and analytical development to address product-specific compatibility questions.
  2. Start with comprehensive process development data to clearly define the required operational ranges for the new platform product. This should include data from characterization studies that establish the relationship between process parameters and Critical Quality Attributes, enabling science-based decisions about qualification requirements.
  3. Review existing qualification documentation to determine current qualified ranges and identify potential gaps. This review should extend beyond formal qualification reports to include engineering studies, historical performance data, and vendor technical specifications that might provide additional insights about equipment capabilities.
  4. Evaluate equipment design capabilities through detailed engineering assessment. This should include review of design specifications, consultation with equipment vendors, and potentially non-GMP engineering runs to verify equipment performance at extended parameter ranges before committing to formal qualification activities.
  5. Conduct parameter-specific risk assessments for identified gaps, focusing on potential impact to product quality. These assessments should apply structured methodologies like FMEA (Failure Mode and Effects Analysis) to quantify risks and prioritize qualification efforts based on scientific rationale rather than arbitrary standards.
  6. Develop targeted qualification strategies based on gap analysis and risk assessment results. These strategies should pay particular attention to Performance Qualification under process-specific conditions.
  7. Generate comprehensive documentation to support the fit-for-purpose determination, creating an evidence package that would satisfy regulatory scrutiny during inspections. This documentation should establish clear scientific rationale for all decisions, particularly when qualification efforts are targeted rather than comprehensive.

The assessment table should be treated as a living document, updated as new information becomes available throughout the implementation process. For platform products with established process knowledge, leveraging prior qualification data can significantly streamline the assessment process, focusing resources on truly critical parameters rather than implementing blanket requalification approaches.

When multiple parameters show qualification gaps, a science-based prioritization approach should guide implementation strategy. Parameters with direct impact on Critical Quality Attributes should receive highest priority, followed by those affecting process consistency and equipment integrity. This prioritization ensures that qualification efforts address the most significant risks first, creating the greatest quality benefit with available resources.

Building a Robust Multi-Purpose Equipment Strategy

As biopharmaceutical manufacturing continues evolving toward flexible, multi-product facilities, qualification of multi-purpose equipment represents both a regulatory requirement and strategic opportunity. Organizations that develop expertise in this area position themselves advantageously in an increasingly complex manufacturing landscape, capable of rapidly introducing new products while maintaining unwavering quality standards.

The systematic assessment approaches outlined in this article provide a scientific framework for equipment qualification that satisfies regulatory expectations while optimizing operational efficiency. By implementing tools like the Fit-for-Purpose Assessment Table and leveraging a risk-based validation model, organizations can navigate the complexities of multi-purpose equipment qualification with confidence.

Single-use technologies offer particular advantages in this context, though they require specialized qualification considerations focusing on supplier quality systems, material compatibility across different product formulations, and supply chain robustness. Organizations that develop systematic approaches to these considerations can fully realize the benefits of single-use systems while maintaining robust compliance.

The most successful organizations in this space recognize that multi-purpose equipment qualification is not merely a regulatory obligation but a strategic capability that enables manufacturing agility. By building expertise in this area, biopharmaceutical manufacturers position themselves to rapidly introduce new products while maintaining the highest quality standards—creating a sustainable competitive advantage in an increasingly dynamic market.

The Critical Role of Validation Systems: Ensuring Compliance Through Meta-Qualification

In the highly regulated pharmaceutical and biotechnology industries, the qualification of equipment and processes is non-negotiable. However, a less-discussed but equally critical aspect is the need to qualify the systems and instruments used to qualify other equipment. This “meta-qualification” ensures the reliability of validation processes themselves, forming a foundational layer of compliance.

I want to explore the regulatory framework and industry guidelines using practical examples of the Kaye Validator AVS to that underscore the importance of this practice.

Regulatory Requirements: A Multi-Layered Compliance Challenge

Regulatory bodies like the FDA and EMA mandate that all equipment influencing product quality undergo rigorous qualification. This approach is also reflected in WHO, ICH and PICS requirements. Key documents, including FDA’s Process Validation: General Principles and Practices and ICH Q7, emphasize several critical aspects of validation. First, they advocate for risk-based validation, which prioritizes systems with direct impact on product quality. This approach ensures that resources are allocated efficiently, focusing on equipment such as sterilization autoclaves and bioreactors that have the most significant influence on product safety and efficacy. Secondly, these guidelines stress the importance of documented evidence. This means maintaining traceable records of verification activities for all critical equipment. Such documentation serves as proof of compliance and allows for retrospective analysis if issues arise. Lastly, data integrity is paramount, with compliance to 21 CFR Part 11 and EMA Annex 11 for electronic records and signatures being a key requirement. This ensures that all digital data associated with validation processes is trustworthy, complete, and tamper-proof.

A critical nuance arises when the tools used for validation—such as temperature mapping systems or data loggers—themselves require qualification. This meta-qualification is essential because the reliability of all subsequent validations depends on the accuracy and performance of these tools. For example, if a thermal validation system is uncalibrated or improperly qualified, its use in autoclave PQ could compromise entire batches of sterile products. The consequences of such an oversight could be severe, ranging from regulatory non-compliance to potential patient safety issues. Therefore, establishing a robust system for qualifying validation equipment is not just good practice—it’s a critical safeguard for product quality and regulatory compliance.

The Hierarchy of Qualification: Why Validation Systems Need Validation

Qualification of Primary Equipment

Primary equipment, such as autoclaves, freeze dryers, and bioreactors, forms the backbone of pharmaceutical manufacturing processes. These systems undergo a comprehensive qualification process.

  • IQ phase verifies that the equipment is installed correctly according to design specifications. This includes checking physical installation parameters, utility connections, and any required safety features.
  • OQ focuses on demonstrating functionality across operational ranges. During this phase, the equipment is tested under various conditions to ensure it can perform its intended functions consistently and accurately.
  • PQ assesses the equipment’s ability to perform consistently under real-world conditions. This often involves running the equipment as it would be used in actual production, sometimes with placebo or test products, to verify that it can maintain required parameters over extended periods and across multiple runs.

Qualification of Validation Systems

Instruments like the Kaye Validator AVS, which are used to validate primary equipment, must themselves undergo a rigorous qualification process. This meta-qualification is crucial to ensure the accuracy, reproducibility, and compliance of the validation data they generate. The qualification of these systems typically focuses on three key areas. First, accuracy is paramount. These systems must demonstrate traceable calibration to national standards, such as those set by NIST (National Institute of Standards and Technology). This ensures that the measurements taken during validation activities are reliably accurate and can stand up to regulatory scrutiny. Secondly, reproducibility is essential. Validation systems must show that they can produce consistent results across repeated tests, even under varying environmental conditions. This reproducibility is critical for establishing the reliability of validation data over time. Lastly, these systems must adhere to regulatory standards for electronic data. This compliance ensures that all data generated, stored, and reported by the system maintains its integrity and can be trusted for making critical quality decisions.

The Kaye Validator AVS serves as an excellent example of a validation system requiring comprehensive qualification. Its qualification process includes several key steps. Sensor calibration is automated against high- and low-temperature references, ensuring accuracy across the entire operating range. The system’s software undergoes IQ/OQ to verify the integrity of its metro-style interface and reporting tools, ensuring that data handling and reporting meet regulatory requirements. Additionally, the Kaye AVS, like all validation systems, requires periodic requalification, typically annually, to maintain its compliance status and ensure ongoing reliability. This regular requalification process helps catch any drift in performance or accuracy that could compromise validation activities.

Case Study: Kaye Validator AVS in Action

The Kaye Validator AVS exemplifies a system designed to qualify other equipment while meeting stringent regulatory demands. Its comprehensive qualification process encompasses both hardware and software components, ensuring a holistic approach to compliance and performance. The hardware qualification of the Kaye AVS follows the standard IQ/OQ/PQ model, but with specific focus areas tailored to its function as a validation tool. The Installation Qualification (IQ) verifies the correct installation of critical components such as sensor interface modules (SIMs) and docking stations. This ensures that the physical setup of the system is correct and ready for operation. The Operational Qualification (OQ) goes deeper, testing the system’s core functionalities. This includes verifying the input accuracy to within ±0.003% of reading and confirming that the system can scan 48 channels in 2 seconds as specified. These performance checks are crucial as they directly impact the system’s ability to accurately capture data during validation runs. The Performance Qualification (PQ) takes testing a step further, validating the AVS’s performance under stress conditions that mimic real-world usage. This might include operation in extreme environments like -80°C freezers or during 140°C Steam-In-Place (SIP) cycles, ensuring the system can maintain accuracy and reliability even in challenging conditions.

On the software side, the Kaye AVS is designed with compliance in mind. It comes with pre-loaded, locked-down software that minimizes the IT validation burden for end-users. This approach not only streamlines the implementation process but also reduces the risk of inadvertent non-compliance due to software modifications. The system’s software is built to align with FDA 21 CFR Part 11 requirements, incorporating features like audit trails and electronic signatures. These features ensure data integrity and traceability, critical aspects in regulatory compliance. Furthermore, the Kaye AVS employs an asset-centric data management approach. This means it stores calibration records, validation protocols, and equipment histories in a centralized database, facilitating easy access and comprehensive oversight of validation activities. The system’s ability to generate Pass/Fail reports based on established standards like EN285 and ISO17665 further streamlines the validation process, providing clear, actionable results that can be easily interpreted and used for regulatory documentation.

Regulatory Pitfalls and Best Practices

In the complex landscape of pharmaceutical validation, several common pitfalls can compromise compliance efforts. One of the most critical errors is using uncalibrated sensors for Performance Qualification (PQ). This oversight can lead to erroneous approvals of equipment or processes that may not actually meet required specifications. The consequences of such a mistake can be far-reaching, potentially affecting product quality and patient safety. Another frequent issue is the inadequate requalification of validation systems after firmware updates. As software and firmware evolve, it’s crucial to reassess and requalify these systems to ensure they continue to meet regulatory requirements and perform as expected. Failing to do so can introduce undetected errors or compliance gaps into the validation process.

Lastly, rigorous documentation remains a cornerstone of effective validation practices. Maintaining traceable records for audits, including detailed sensor calibration certificates and comprehensive software validation reports, is essential. This documentation not only demonstrates compliance to regulators but also provides a valuable resource for troubleshooting and continuous improvement efforts. By adhering to these best practices, pharmaceutical companies can build robust, efficient validation processes that stand up to regulatory scrutiny and support the production of high-quality, safe pharmaceutical products.

Conclusion: Building a Culture of Meta-Qualification

Qualifying the tools that qualify other equipment is not just a regulatory checkbox—it’s a strategic imperative in the pharmaceutical industry. This meta-qualification process forms the foundation of a robust quality assurance system, ensuring that every layer of the validation process is reliable and compliant. By adhering to good verification practices, companies can implement a risk-based approach that focuses resources on the most critical aspects of validation, improving efficiency without compromising quality. Leveraging advanced systems like the Kaye Validator AVS allows organizations to automate many aspects of the validation process, reducing human error and ensuring consistent, reproducible results. These systems, with their built-in compliance features and comprehensive data management capabilities, serve as powerful tools in maintaining regulatory adherence.

Moreover, embedding risk-based thinking into validation workflows enables pharmaceutical manufacturers to anticipate and mitigate potential issues before they become regulatory concerns. This proactive approach not only enhances compliance but also contributes to overall operational excellence. In an era of increasing regulatory scrutiny, meta-qualification emerges as the linchpin of trust in pharmaceutical quality systems. It provides assurance not just to regulators, but to all stakeholders—including patients—that every aspect of the manufacturing process, down to the tools used for validation, meets the highest standards of quality and reliability. By fostering a culture that values and prioritizes meta-qualification, pharmaceutical companies can build a robust foundation for compliance, quality, and continuous improvement, ultimately supporting their mission to deliver safe, effective medications to patients worldwide.

Timely Equipment/Facility Upgrades

One of the many fascinating items in the recent Warning Letter to Sanofi is the FDA’s direction to provide a plan to perform “timely technological upgrades to the equipment/facility infrastructure.” This point drives home the point that staying current with technological advancements is crucial for maintaining compliance, improving efficiency, and ensuring product quality. Yet, I think it is fair to say we rarely see it this bluntly put as a requirement.

One of the many reasons this Warning Letter stands out is that this is (as far as I can tell) the same facility that won the ISPE’s Facility of the Year award in 2020. This means it is still a pretty new facility, and since it is one of the templates that many single-use biotech manufacturing facilities are based on, we had best pay attention. If a failure to maintain a state-of-the-art facility can contribute to this sort of Warning Letter, then many companies had best be paying close attention. There is a lot to unpack and learn here.

Establishing an Ongoing Technology Platform Process

To meet regulatory requirements and industry standards, facilities should implement a systematic approach to technological upgrades.

1. Conduct Regular Assessments

At least annually, perform comprehensive evaluations of your facility’s equipment, systems, and processes. This assessment should include:

  • Review of equipment performance and maintenance, including equipment effectiveness
  • Analysis of deviation reports and quality issues
  • Evaluation of current technologies against emerging industry standards
  • Assessment of facility design and layout for potential improvements

This should be captured as part of the FUSE metrics plan and appropriately evaluated as part of quality governance.

2. Stay Informed on Industry Trends

Keep abreast of technological advancements in biotech manufacturing at minimum by:

  • Attending industry conferences and workshops
  • Participating in working groups for key consensus standard writers, such as ISPE and ASTM
  • Subscribing to relevant publications and regulatory updates
  • Engaging with equipment vendors and technology providers

3. Develop a Risk-Based Approach

Prioritize upgrades based on their potential impact on product quality, patient safety, and regulatory compliance. Utilize living risk assessments to get a sense of where issues are developing. These should be the evolution of the risk management that built the facility.

4. Create a Technology Roadmap

Develop a long-term plan for implementing upgrades, considering:

  • Budget constraints and return on investment
  • Regulatory timelines for submissions and approvals
  • Production schedules and potential downtime
  • Integration with existing systems and processes

5. Implement Change Management Procedures

Ensure there is a robust change management process in place to ensure that upgrades are implemented safely and effectively. This should include:

6. Appropriate Verification – Commissioning, Qualification and Validation

Conduct thorough verification activities to demonstrate that the upgraded equipment or systems meet predetermined specifications and regulatory requirements.

7. Monitor and Review Performance

Continuously monitor the performance of upgraded systems and equipment to ensure they meet expectations and comply with cGMP requirements. Conduct periodic reviews to identify any necessary adjustments or further improvements. This is all part of Stage 3 of the FDA’s process validation model focusing on ongoing assurance that the process remains in a state of control during routine commercial manufacture. This stage is designed to:

  • Anticipate and prevent issues before they occur
  • Detect unplanned deviations from the process
  • Identify and correct problems

Leveraging Advanced Technologies

To stay ahead of regulatory expectations and industry trends, consider incorporating advanced technologies into your upgrade plans:

  • Single-Use Systems (SUS): Implement disposable components to reduce cleaning and validation requirements while improving flexibility.
  • Modern Microbial Methods (MMM): Implement advanced techniques used in microbiology that offer significant advantages over traditional culture-based methods
  • Process Analytical Technology (PAT): Integrate real-time monitoring and control systems to enhance product quality and process understanding.
  • Data Analytics and Artificial Intelligence: Implement advanced data analysis tools to identify trends, predict maintenance needs, and optimize processes.

Conclusion

Maintaining a state-of-the-art biotech facility requires a proactive and systematic approach to technological upgrades. By establishing an ongoing process for identifying and implementing improvements, facilities can ensure compliance with FDA requirements, align with industry standards, and stay competitive in the rapidly evolving biotech landscape.

Remember that the goal is not just to meet current regulatory expectations but to anticipate future requirements and position your facility at the forefront of biotech manufacturing excellence. By following this comprehensive approach and staying informed on industry developments, you can create a robust, flexible, and compliant manufacturing environment that supports the production of high-quality biopharmaceutical products.