Enzai's frameworks cover the EU AI Act, ISO 42001, ISO 23894, NIST AI RMF and its profiles, GDPR for AI-specific scenarios, the major US state regimes including Colorado, California, and Texas, plus Treasury FS AI RMF and OWASP Agentic Top 10.
Compliance frameworks
Product
Most AI compliance work gets rebuilt every time a regulation moves. Enzai does it once.

What is an AI compliance framework?
Pre-built mappings
EU AI Act, ISO 42001, NIST AI RMF, GDPR, US state regimes - ready to use day one.
Live compliance score
Per system, per framework, updated continuously - not a quarterly snapshot.
Cross-framework reuse
One assessment, multiple frameworks - evidence captured once, used across audits.
Centrally maintained
Regulation updates absorbed in the library - no manual rework when a regulation moves.
Per-framework evidence trail
Per-framework evidence trail surfaced on demand - assessor, auditor, board, regulator.
Programme-wide reporting
Compliance posture rolled up across systems, frameworks, and business units in one view.
Most AI compliance programmes build their first framework mapping in-house - usually EU AI Act, often via a consultancy. Then ISO 42001 lands and gets a second bespoke build. Then NIST AI RMF gets a third. Then the EU AI Act moves on enforcement timeline and the first build needs reworking. Four structural problems show up:
Frameworks share more than they differ. ISO 42001 clause 8.2, NIST AI RMF Map-3.2, and EU AI Act Article 9 all require risk assessment with broadly similar inputs. Building each from scratch wastes the work - evidence can be captured once and reused across all three with the right mapping.
Regulations move; bespoke builds don't. When the EU AI Act Code of Practice publishes (or moves), every bespoke build of EU AI Act mapping needs updating. Centrally maintained libraries absorb the change once.
Compliance scoring drifts from production. Spreadsheet compliance scores get updated quarterly at best. AI systems change weekly. The score on the spreadsheet doesn't match the state of the system.
Evidence gets re-asked-for each audit. Without a per-system per-framework evidence trail, every audit cycle re-requests the same artifacts from the same teams. The team grinds; the auditor waits; the programme loses momentum.

AI compliance framework FAQs
One assessment, across multiple complex regulations, saves us a huge amount of time and money
Ready to assess once, and comply across every framework?
30 minutes. We'll map one of your AI systems to three frameworks live and show the cross-framework evidence reuse end to end.
Hear back in 24 hours

We help you find answers
What problem does Enzai solve?
Enzai provides enterprise-grade infrastructure to manage AI risk and compliance. It creates a centralized system of record where AI systems, models, datasets, and governance decisions are documented, assessed, and auditable.
Who is Enzai built for?
How is Enzai different from other governance tools?
Can we start if we have no existing AI governance process?
Does AI governance slow down innovation?
How does Enzai stay aligned with evolving AI regulations?
Empower your organization to adopt, govern, and monitor AI with enterprise-grade confidence. Built for regulated organizations operating at scale.





