AI GxP validation for regulated life sciences
CSV · CSA · AI Validation · FDA · Annex 11 · GAMP 5

Validation & Compliance Services

End-to-end computer system validation done the CSA way — risk-based, least-burdensome, AI-accelerated where it helps and human-owned where it must be. From URS to VSR, from IQ to periodic review, delivered by validation leads who have shipped inspection-ready systems in FDA, EMA, MHRA, PMDA and CDSCO regulated environments.

Quick chat on WhatsAppHuman review at every gatePart 11 readyISO 9001 & 27001 certified
CSV servicesCSA servicesAI validation servicesFDA compliance servicesGAMP 5 consultingIQ OQ PQ servicesLIMS validationSAP validation
FDAEMAMHRAPMDACDSCOGAMP 5ICH Q921 CFR Part 11
In short

Computer system validation is the documented evidence that a GxP system does what it is supposed to do, reproducibly, and that an inspector can follow the proof. It covers requirements, risk assessment, IQ/OQ/PQ testing, traceability and a summary report. Under FDA's Computer Software Assurance guidance, how much you test each requirement depends on what happens if it fails.

18 disciplines

Every validation & compliance discipline we deliver

Each one has its own page with scope, deliverables and timelines.

Computer System Validation (CSV)

URS, FRA, DS, IQ/OQ/PQ protocols and reports, RTM and Validation Summary Report — end-to-end, GAMP 5 Second Edition aligned, with 21 CFR Part 11 evidence baked into the delivery. Optionally accelerated with GxP Copilot to compress the cycle from months to weeks.

Learn more about Computer System Validation (CSV)
Computer Software Assurance (CSA)

We implement the FDA CSA operating model: per-requirement risk, right-sized test rigor across scripted, unscripted and vendor-evidence paths, and a defensible reduction in low-value testing. Ideal for teams re-baselining validation for velocity without giving up compliance.

Learn more about Computer Software Assurance (CSA)
AI Validation Services (Annex 22)

Model cards, evaluation sets, deterministic guardrails, HITL policies, drift monitoring and template fallbacks — the Annex 22 assurance stack, delivered as a service. Covers GenAI copilots, ML classifiers, predictive maintenance models, and agentic systems used in GMP, GCP or GLP operations.

Learn more about AI Validation Services (Annex 22)
FDA 21 CFR Part 11 Compliance

Gap assessment, remediation and validation of Part 11 electronic records and electronic signatures across your GxP system estate. We fix the common failures: shared logins, non-reauthenticated signatures, mutable audit tables, missing meaning/timestamp.

Learn more about FDA 21 CFR Part 11 Compliance
EU Annex 11 & Annex 22 Compliance

Full Annex 11 gap assessment and remediation, tuned for the upcoming Annex 11 revision and EU Annex 22 (AI in GMP). Controlled documents, audit trails, change control, periodic review, retirement — architected, not retrofitted.

Learn more about EU Annex 11 & Annex 22 Compliance
GAMP 5 Second Edition Consulting

We translate GAMP 5 Second Edition — Agile, critical thinking, CSA alignment — into the actual document set, test strategy and roles for your systems. Practical, not academic.

Learn more about GAMP 5 Second Edition Consulting
Installation Qualification (IQ) Services

Environment baseline, installation script verification, configuration capture and IQ execution — with evidence auto-linked to the RTM.

Learn more about Installation Qualification (IQ) Services
Operational Qualification (OQ) Services

OQ protocol authoring and execution — scripted where risk demands it, unscripted where CSA allows it, vendor-evidence where the supplier already proved it.

Learn more about Operational Qualification (OQ) Services
Performance Qualification (PQ) Services

User-role driven PQ, tied back to the URS and CSA risk. Includes stability of use, edge-case scenarios and post-go-live monitoring hooks.

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Cloud & SaaS Validation

CSA-native validation for cloud-hosted GxP systems: shared-responsibility mapping, provider-evidence leverage, tenant-configuration validation, and secure-by-default patterns.

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SAP Validation

Batch management, material master, QM, ATP, EWM — configuration and role-based validation for pharma, biotech and med-device SAP estates.

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Oracle Validation

Financials, supply chain, and clinical modules — validated with a CSA lens and a defensible reduction of low-value scripted tests.

Learn more about Oracle Validation
LIMS Validation

Instrument interfaces, sample lifecycle, chain-of-custody, ELN/LIMS integration — with special attention to data integrity (ALCOA+).

Learn more about LIMS Validation
MES Validation

Recipes, EBR, weigh & dispense, deviation management — validated with a real ICH Q9 lens and a mobile-first execution workflow.

Learn more about MES Validation
SCADA / DCS Validation

Historian, alarms, batch, HMI — validated with data-integrity and cyber-hygiene bundled in.

Learn more about SCADA / DCS Validation
Audit Readiness

Mock inspections, evidence-pack drills, RTM sanity, Part 11 posture — repeatable audit readiness, not a fire drill.

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Supplier Qualification

Vendor questionnaires, on-site or remote assessments, evidence packs, and re-qualification programmes — with CSA leverage where the vendor already did the work.

Learn more about Supplier Qualification
Data Integrity (ALCOA+)

Data-integrity gap assessments across GxP systems, remediation plans, and a monitoring cadence that keeps ALCOA+ from drifting.

Learn more about Data Integrity (ALCOA+)
Scope

Who needs computer system validation

If a system creates, changes, stores or decides anything that affects product quality, patient safety or the integrity of regulated data, it needs validating. In practice that means LIMS, MES, SCADA, eQMS, ERP modules that touch batch records, chromatography data systems, clinical databases, and increasingly the AI tools sitting on top of them.

The trigger is usually one of four things: a new system going live, an inspection finding, a vendor upgrade that broke validated status, or an acquisition that brought an unvalidated estate with it. The right scope looks different in each case, which is why we start by asking which one you are in rather than quoting a package.

Manufacturing
Laboratories
Quality systems
Clinical
Regulatory
AI and analytics
Method

CSV and CSA are not competing methods

Computer System Validation is the activity. Computer Software Assurance is FDA's guidance on how to size it, finalised in September 2025. CSA does not replace CSV and it does not mean less evidence — it means the evidence is concentrated where failure actually matters, and reduced where a supplier has already tested something adequately.

The practical difference shows up in the test plan. Under a traditional approach every requirement gets a scripted script with screenshots. Under CSA, a high-risk requirement still gets that, a medium-risk one may be covered by unscripted testing with a session record, and a low-risk one may lean on the vendor's own testing. What makes it defensible is not the reduction — it is the written rationale for each decision.

High riskFailure could affect patient safety or product quality
Scripted testingWritten steps, expected results, an independent reviewer
Step-by-step results, screenshots and signatures
Medium riskFailure is noticed and contained
Unscripted testingExploratory or ad-hoc testing against the intended use
A record of what was tested, by whom, and the result
Low riskStandard function, supplier-tested
Supplier evidenceThe vendor’s own testing, assessed and accepted
The assessment and the reason it is enough
Computer Software Assurance in one picture: test effort follows the risk of each requirement. Based on FDA’s Computer Software Assurance guidance.
A controlled, signed validation document in GxP Copilot
Controlled, signed documentsNot a report
Deliverables

What you actually receive

A validation package is a set of controlled, signed documents, not a report. Typically: a Validation Master Plan, User Requirement Specification, a functional risk assessment scoring every requirement, IQ, OQ and PQ protocols, the executed protocols with evidence attached, a deviation log with each item closed, a Requirements Traceability Matrix, and a Validation Summary Report.

Two things separate a package that survives inspection from one that does not. Every test must trace back to a numbered requirement, and every deviation must have a documented resolution rather than a note saying it was accepted. Inspectors tend to pull on exactly those two threads.

Timelines

How long it takes, honestly

A conventional CSV project on a configured system of moderate complexity runs several months, and the bottleneck is almost never the thinking — it is drafting and formatting structured documents that follow predictable patterns.

That is the part we compress with GxP Copilot: the first complete draft of the deliverable set is generated from your system description, and your validation lead spends their time reviewing and deciding rather than assembling. The review, approval and signature steps still take the time they take, because a human still has to own them.

Manual validationWeeks
URS reviewRiskTest scriptsExecutionTraceabilityReport
With GxP CopilotDays

Drafting, tests, traceability and report generated in one pass, then reviewed.

Illustrative comparison. Real time depends on system size, scope and how quickly your reviewers turn work around.

Validation does not end at go-live

A system is validated as at a point in time. Every configuration change, software update, new user role or changed business process can take it out of that state. The two things that keep it in: a change control process that assesses regulatory impact before the change ships, and a periodic review that looks at the change history, incidents and current regulatory expectations.

Periodic review is the single most commonly skipped Annex 11 obligation we encounter. It is not a revalidation — it is a structured check that the system is still what the documentation says it is.

Where AI fits, and where it does not

AI drafts. Qualified people decide and sign. Classification and risk scoring are computed deterministically rather than generated, because an inspector will ask how a number was arrived at and "the model produced it" is not an answer.

EU Annex 22 — still a draft, but the clearest signal available — sets out what regulators are expected to look for when AI is used in a GMP context: defined intended use, an evaluation set that gates releases, human oversight on anything consequential, monitoring for drift, and a fallback so the process still runs with the AI switched off. We build to that standard whether or not you are using our software.

Case study · Pharmaceuticals

SAP S/4HANA validation for a mid-market oral-solid-dose manufacturer

A CSA-native validation of SAP S/4HANA batch management, QM and materials — delivered against a fixed 12-week inspection window, with a defensible reduction in scripted-test effort and a live traceability view standing at go-live.

Read the case study
12 wkTo inspection-ready
Risk-ledTest depth set per requirement, with rationale
3Sites harmonised
CleanMock inspection, no material findings
FAQ

Common questions

Prefer to talk first? Chat with us on WhatsApp or book a call with an expert.

What is the difference between CSV and CSA?

CSV is the validation activity itself — producing documented evidence that a GxP system works as intended. CSA is FDA's guidance on how to size that effort, finalised in September 2025, concentrating testing where failure would affect product quality, patient safety or data integrity, and reducing it elsewhere with a written rationale. CSA does not replace CSV.

Which systems need to be validated?

Any system that creates, modifies, stores or determines data affecting product quality, patient safety or data integrity. Commonly LIMS, MES, SCADA, eQMS, chromatography data systems, clinical databases, and ERP modules that touch batch or quality records. Infrastructure is usually qualified rather than validated.

What documents make up a validation package?

A Validation Master Plan, User Requirement Specification, functional risk assessment, IQ, OQ and PQ protocols and their executed records, a deviation log with documented resolutions, a Requirements Traceability Matrix, and a Validation Summary Report. The exact set scales with the system's GAMP 5 category and risk.

How long does a validation project take?

A conventional CSV project on a moderately complex configured system typically runs several months, with document authoring rather than decision-making as the bottleneck. Using GxP Copilot, the first complete draft of the deliverable set is produced in days; review, approval and signature still take the time a human needs to own them.

Does a validated system stay validated?

No. Validation is a point-in-time state. Software updates, configuration changes, new user roles and changed processes can all break it. Keeping validated status requires change control that assesses regulatory impact before a change ships, plus periodic review under EU GMP Annex 11.

How is AI validated under EU Annex 22?

Annex 22, still in draft, expects a defined intended use, an evaluation set that gates each release, human oversight of consequential decisions, monitoring for model drift, and a documented fallback so the process continues with the AI disabled. Risk and classification should be computed deterministically rather than generated, so each result can be explained to an inspector.

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A validation lead reviews your situation and proposes the smallest scope that does the job properly.

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