Why uncontrolled AI is an audit risk
- AI hallucinations in compliance-critical records
- No traceability for how AI output was generated or reviewed
- Generic AI tools with no regulated-documentation guardrails
- FDA and CAP increasingly scrutinizing AI use in documentation
- Records that can't be defended if AI-assisted creation is questioned
LabComplyx AI governance infrastructure
- Compliance guardrails injected into every AI prompt
- Blocking rules that reject non-compliant AI outputs before review
- Human-in-the-loop review checkpoint — required before record entry
- Full audit trail: AI model version, guardrails applied, reviewer sign-off
- Output provenance captured and exportable for inspector review
Why the industry agrees
AI-assisted work "is a powerful tool for quick development but should not be implicitly trusted" to produce secure, correct output on its own.
That's the opening warning of Datadog's State of DevSecOps 2026 study — from software security, not lab compliance, yet the lesson is identical: automation accelerates the work, but an accountable human checkpoint is what makes the speed defensible. It's the principle every LabComplyx workflow is built on. Read what GxP labs can learn from DevSecOps →
Security & AI — straight answers
The questions lab managers ask us most about putting AI near regulated work.