Solution · AI Governance Audit
Recruiting an AI Governance Lead? Start with a 3–4 week Auditability Assessment.
A structured, multi-stakeholder assessment that produces defensible evidence of where AI governance stands — while the permanent search continues.
The operational problem
Written AI policy isn't the same as auditable evidence.
Most enterprises have an AI policy, an AI committee, and slides. Fewer can produce technical evidence that a specific control was enforced on a specific AI system on a specific date. This assessment closes that gap by scoring the 7 pillars of the ProofLayer AI framework across your stakeholders and surfacing the actual technical work required to make the policy provable.
Who this is for
- Client is recruiting an AI Governance Lead, Head of Responsible AI, or AI Risk Lead
- AI policy exists but the platform can't produce technical evidence of enforcement
- Upcoming audit, regulator interaction, or board review is on the calendar
- GenAI, RAG, or agentic systems are live without a defensible governance envelope
Fixed scope
3 – 4 weeksCore deliverables
- Multi-stakeholder scorecard across the 7 pillars
- Control gap and evidence matrix mapped to ISO 42001 and NIST AI RMF
- Regulator-oriented findings with prioritized remediation
- 90-day remediation roadmap with named owners
- Executive briefing and board-ready summary
This assessment is a technical governance review — not a legal opinion or a formal compliance certification.
Compliance Cockpit preview
Track evidence readiness against ISO 42001 and NIST AI RMF.
Findings flow into the built-in Compliance Tracker so gaps, evidence, and remediation actions are visible in one place.