AI QMS software that writes the first draft of every quality record.
Quality work is mostly writing, reading and cross-referencing. V5 Ultimate's AI drafts the CAPA and the deviation, assembles the annual product review from live data, watches the regulators for changes that touch your products, scores your suppliers from their real performance, and tells you where your audit readiness actually stands — all under human sign-off, all on one audit trail.
You're looking at AI in QMS because quality is drowning in writing, not in thinking.
Every deviation and CAPA starts as a blank form and a memory of what happened
The annual product review takes one person three weeks of copy-paste every year
Regulatory changes are tracked by someone's email subscription and good intentions
Supplier scorecards are a quarterly spreadsheet nobody trusts
CoAs and supplier documents are rekeyed into inspection records by hand
Nobody can say what your inspection readiness is today without commissioning an internal audit
Where AI earns its place in the quality system.
CAPA and deviation drafting
AI writes the investigation narrative from the linked record — the batch, the step, the equipment, the operator, the prior occurrences — and proposes root-cause lines and effectiveness checks. The investigator owns every word before it is signed.
APQR / PQR assembled from live data
Batch yields, deviations, OOS results, changes, complaints, stability and returns pulled from the live system into the review structure, with trends and commentary drafted for the QP to challenge.
Regulatory surveillance
Changes across the frameworks that touch your products are monitored and summarised with the impact on your specific documents and processes, routed as proposed change controls.
Supplier scorecards from real performance
On-time delivery, CoA accuracy, NCR history, certificate expiry and inspection outcomes scored continuously — not reconstructed once a quarter.
Document intake
Supplier CoAs, certificates and specifications extracted, matched to the open PO or lot and fed into receiving inspection with the original retained as source evidence.
Live compliance self-assessment
Your live configuration and records scored against Part 11, GMP, ISO 13485, 21 CFR 820, 211, 111, 117, BRCGS and SQF — with the gaps named, not a green tick.
What quality teams get back.
- Investigation write-up time collapses; investigation quality goes up because the evidence is attached from the start
- Annual product review moves from weeks of assembly to a review meeting
- Regulatory change arrives as a proposed change control, not as an email somebody missed
- Supplier risk is current, continuous and evidenced
- Audit readiness is a number you can look at before the inspector asks
The frameworks an AI QMS has to survive.
21 CFR Part 11 / EU Annex 11
AI drafts; humans sign. Signature meaning, binding, authority checks and the append-only audit trail are unchanged by the presence of a model.
ISO 13485:2016 and FDA QMSR
CAPA, non-conforming product, management review and supplier control run as native records — AI accelerates them without changing who is accountable for the decision.
ICH Q9 (R1) / ICH Q10
Risk-based decisions stay with the quality unit. AI supplies the evidence set and the draft; the risk rating and the disposition are human judgements on the record.
EU AI Act
Documented intended purpose, human oversight, logging and traceability for every assistive output — the compliance posture your notified body or inspector will ask about.
GAMP 5 Second Edition
AI assistance is scoped as a supporting function with verified outputs and documented human review, not as an autonomous quality decision-maker.
AI quality management, answered.
What is an AI QMS?
An electronic quality management system with a model layer that drafts, summarises and scores across the quality record set — deviations, CAPAs, audits, suppliers, documents, product reviews — while the approval, the signature and the accountability remain human. The value is speed and completeness of evidence, not automation of judgement.
Can AI close a CAPA?
No. AI drafts the investigation, proposes root-cause lines and suggests effectiveness checks. Approval, closure and effectiveness verification are signed by authorised people, and the audit trail shows what was accepted or changed.
Does AI in quality management create a validation problem?
It creates a validation scope, which is manageable: intended use is documented, outputs are drafts subject to human review, and nothing becomes an approved record without a signature. We supply the intended-use documentation your validation lead needs.
How is this different from an eQMS with a chatbot?
A chatbot answers questions about the system. This works on the records: the CAPA arrives written, the APQR arrives assembled, the supplier score is computed from live transactions, the readiness gap is named against a specific clause.
Does it work across multiple frameworks at once?
Yes. One quality system is scored simultaneously against the frameworks you operate under — ISO 9001, ISO 13485, 820/QMSR, 211, 111, 117, BRCGS, SQF — because they share a spine and V5 maps your live records to each.
Where does the data go?
Nowhere. Inference runs inside your tenant boundary, and your quality records are not used to train models.
Watch AI draft a CAPA from a real deviation in your data.
Free trial. No sales gate. Quality live in weeks, not quarters.