01
Computerized system validation
GAMP 5 and computer software assurance applied to computerized systems, with or without AI components, at platform and study level.
Validation & quality systems
Qualified ground, validated systems, working procedures.
A system is not validated because a package exists. It is validated while qualified infrastructure, controlled configuration, working procedures, competent users, and live change control all hold at once.
Perspective
That is why these four services sit together. Validation evidence built on unqualified infrastructure is unsupported. A quality system nobody was trained on is a document set. Procedures that describe a system as it was two releases ago are worse than none, because they are followed.
Specialist services
Four services, one validated state.
Each can be engaged independently. Together they cover the full chain from the infrastructure a system runs on to the people who operate it and the management system that governs both.
02
Infrastructure & cloud qualification
Qualified infrastructure, cloud service qualification, shared-responsibility mapping, and continuous qualification under constant change.
03
Quality & management systems
GxP quality systems, ISO 9001, ISO/IEC 27001, and ISO/IEC 42001 designed and run as one management system.
04
Training & capability building
Role-based training on AI, technology, validation, data integrity, and auditing for teams working under GxP.
Why one practice
The validated state has five load-bearing parts.
Inspection findings rarely say the testing was inadequate. They say the environment was not qualified, the change was not assessed, the procedure did not match the system, or the person operating it was not trained on what they were doing.
- Qualified infrastructure, maintained as the environment changes rather than qualified once
- A validated system with evidence proportionate to intended use and risk
- Configuration and change control that assesses each release before it lands
- Procedures that describe the system as it is currently operated
- Role-based training and demonstrable competence for everyone who touches it
- Periodic review that would actually detect a lapse in any of the above
- A management system that connects all of it to risk, audit, and management review
Typical triggers
When organizations bring this work in.
Sometimes before a system goes live. More often after somebody has asked a question the current evidence cannot answer.
A new system or migration
A platform is being implemented or replaced and the validation approach needs to be right before the effort is spent.
Cloud change outpacing control
The supplier releases continuously, the validation was written for an annual cycle, and the gap is widening.
A finding to remediate
An audit or inspection has questioned validation, qualification, procedures, or training, and remediation needs to be proportionate.
Growth into formality
An organization has outgrown informal working and needs a quality system, or a certification, that reflects how it actually operates.
AI entering a validated system
A statistical component is being added to a system built for deterministic behaviour, and the evidence model has to change with it.
Approach
Context first. Evidence throughout.
A consistent sequence across the practice, scaled to the engagement in front of us.
- 01
Anchor on intended use
Connect requirements, qualification, and assurance to the regulated purpose and the real operating context.
- 02
Scale to risk
Direct effort toward the functions, data, environments, and failure modes that matter most.
- 03
Use supplier evidence well
Understand what can be relied upon, what needs challenge, and what remains the customer’s responsibility.
- 04
Design for change
Build review, release assessment, incident handling, and periodic evaluation into the lifecycle from the start.
Start a conversation
Start with the decision in front of you.
A short discussion is usually enough to establish which of these services fits, and how much of it you actually need.