Inspection-ready life science facilities

Deerns, we see a stronger approach emerging: design quality and compliance into the facility from the beginning, then maintain that readiness throughout its operating life.

This means moving away from a process in which validation becomes the point where engineering is finally challenged against regulatory expectations. Quality by Design should make those expectations, together with product and process risks, an explicit input for engineering from day zero.

Let the contamination control strategy drive design

For sterile manufacturing, EU Good Manufacturing Practice (GMP) Annex 1 places the Contamination Control Strategy (CCS) at the centre of the facility’s approach to contamination control. The CCS identifies critical control points and sets out how design, procedures, technical systems, organisation and monitoring must work together to manage contamination risks.

The User Requirement Specification (URS) provides the foundation for this approach by defining what the facility needs to achieve and the conditions under which it must perform. The CCS then builds on these requirements, translating them into a coordinated strategy for controlling contamination throughout the facility’s design, operation and monitoring.

At Deerns, we recommend a collaborative process early in the decision-making process – one that brings the right stakeholders together early:

• Engineering and facility teams
• Quality assurance, validation and qualified persons responsible for batch release
• Manufacturing and operations specialists

The aim is to agree on risks, requirements and control strategies before major design decisions are finalised, helping prevent quality concerns from emerging later when changes to layouts and systems are more difficult and costly to implement.

Evidence instead of defensive overdesign

Inspection readiness does not require the most conservative engineering solution in every case. Overdesign can increase capital cost, energy use and the maintenance burden without creating a proportionate quality benefit.

Cleanroom ventilation is a clear example. If validated evidence demonstrates that a space can perform compliantly at a lower air-change rate, operating it at a much higher rate purely as a safeguard may create unnecessary energy demand. Similar questions apply to cleanroom classifications, temperature set points, buffer areas and clean utilities.

For existing facilities, the opportunity is often to explore 3 critical questions:

• What does the applicable guidance actually require?
• What does current operating data show?
• Can the engineering response be adapted while preserving compliance and product protection?

This creates an important route for addressing ageing facilities, where inherited design assumptions can contribute to higher operating costs, concerns around reliable utilities, and compliance risk.

Turning operational data into engineering evidence

Data does not replace validation; it strengthens the basis for better decisions.

Modern sensors can provide continuous or near-real-time information on airborne particles, microbiological indicators, temperature and humidity. The value lies in how this data is used. Operational information is often stored mainly for retrospective investigation after a deviation. A more proactive approach uses validated data to confirm performance, test assumptions, identify trends and support controlled optimisation.

This can inform measures such as reducing ventilation during unoccupied periods like weekends, then returning the cleanroom to its validated operating condition before manufacturing resumes. Significant operational changes of this nature must be supported by risk assessment, evidence and appropriate qualification.

Moving forward, AI-enabled analytics may also help teams interpret larger data volumes and recognise patterns more quickly.

From validation event to readiness lifecycle

Inspection readiness extends beyond design and construction. Even a well-engineered facility can fail if procedures are weak, operators are poorly trained or controls are not maintained. Personnel and material flows remain central contamination risks, making operational discipline part of the same system as cleanrooms, HVAC and utilities.

3 dimensions of a risk-based facility approach:

• Requirements and contamination risks defined from the outset
• Engineering decisions linked to evidence and documented rationale
• Monitoring, maintenance, training and review embedded into operations

This approach points towards a lifecycle model. The facility is designed, qualified and placed into operation, then evidence generated during operation feeds back into engineering, quality and future improvement.

Inspection readiness becomes an outcome of everyday practice rather than a scramble before an audit.

Designing readiness into the facility

The strongest life science facilities make quality visible in the logic of their design. Their systems can be traced back to defined risks, their operating parameters are supported by evidence, and their teams understand how engineering, quality and manufacturing depend on one another.

Deerns combines multidisciplinary engineering, cleanroom and life science expertise with this Quality by Design mindset. Integrating CCS, URS, risk-based engineering and operational evidence from the earliest stages can reduce late-stage validation problems, control unnecessary overdesign, and create facilities that remain resilient, efficient and prepared for inspection throughout their lifecycle.