Rethinking CQV In A Digital, Agile Manufacturing Landscape

By BioPhorum

Commissioning, qualification, and validation (CQV) sit at the heart of pharmaceutical manufacturing, providing assurance that facilities, systems, and processes consistently deliver safe, effective, and compliant medicines. Yet as the industry moves toward more digital, flexible, and integrated manufacturing models, traditional approaches to CQV are increasingly being tested.

Recent BioPhorum member discussions highlight a shared view: while CQV remains foundational, the way it is planned, executed, and integrated into projects must evolve to keep pace with modern manufacturing realities.

CQV Is Still Too Often Treated As A Late‑Stage Activity

A consistent theme emerging is that CQV is not always embedded early enough in project life cycles. Instead, it is frequently introduced as a downstream activity, sometimes perceived as a testing or documentation exercise rather than a strategic enabler of operational readiness.

This late engagement can lead to fragmented schedules, unclear ownership, and reactive decision-making. When CQV requirements are not defined early, organizations often experience rework, delays, and inefficiencies that ripple across engineering, quality, and operations.

Industry leaders increasingly recognize that CQV must be integrated from the outset — informing project concept notes, design decisions, and system architectures — to support predictable delivery and regulatory confidence.

Digital CQV Offers Promise But Not Instant Returns

There is strong momentum across the sector to digitize CQV processes, driven by the need for better traceability, transparency, and cross‑functional collaboration. Digital tools can streamline documentation, enable real‑time data review, and reduce manual handoffs across project teams.

However, industry experience suggests that digital transformation in CQV is not a simple switch. Early phases often require significant investment in systems, skills, and change management, with benefits accruing over time rather than immediately. Over‑standardization also can introduce rigidity if templates and workflows are not designed with sufficient flexibility to accommodate different equipment, processes, and risk profiles.

Successful digital CQV strategies balance standardization with adaptability, enabling consistency without constraining execution.

Risk‑Based Thinking Needs Stronger Practical Application

Quality risk management is widely acknowledged as a regulatory expectation and a cornerstone of effective CQV. Yet translating risk‑based principles into day‑to‑day execution remains challenging.

The industry needs clearer alignment between risk assessments, user requirements, test strategies, and acceptance criteria. When risk decisions are not consistently traceable across CQV phases, organizations risk duplicating effort or creating gaps in assurance.

Embedding risk‑based decision-making into CQV planning — supported by clear documentation and shared understanding across teams — can help focus effort where it matters most while maintaining compliance and audit readiness.

Organizational Alignment Remains A Critical Barrier

Many CQV challenges are not purely technical. Instead, they stem from organizational fragmentation — between capital and operational teams, engineering and quality, or owners and vendors.

CQV effectiveness depends on having the right expertise involved at the right time, with clearly defined roles and accountabilities. Where responsibilities are unclear or resources are allocated based on availability rather than capability, CQV teams can become disconnected from project priorities.

Greater cross‑functional integration, supported by shared schedules, common data environments, and aligned incentives, is essential to realizing the full value of CQV.

Preparing For A More Autonomous Future

As manufacturers explore advanced automation, real‑time release, and predictive control strategies, CQV requirements will inevitably evolve. Future manufacturing environments — sometimes described as “lights‑out” operations — demand validation approaches that can support rapid changeovers, autonomous decision-making, and continuous assurance.

This shift places a new emphasis on data integrity, system interoperability, and life cycle thinking. CQV practices must be robust enough to assure compliance while flexible enough to support innovation and agility.

A Shared Opportunity For Industry Collaboration

The challenges facing CQV are not unique to individual organizations. They are systemic, shaped by regulatory expectations, legacy practices, and the pace of technological change.

Industry collaboration offers a powerful mechanism to address these challenges by sharing practical experience, aligning on best practices, and developing guidance that complements existing standards rather than duplicating them.

By working collectively, the industry can help ensure that CQV continues to enable innovation and operational excellence, rather than constrain progress.