AI Governance Institute logo
AI Governance Institute

Practical Governance for Enterprise AI

← All controls
CMP

Regulatory Compliance

Operational controls for regulatory compliance — with maturity levels, evidence requirements, and implementation guidance.

Not sure where to start? Answer 3 questions and get a tailored compliance action plan.

What applies to me? →

6 controls matching filters

CMP-002
medium

International AI Standards Monitoring Workflow

Track changes to international AI standards from ISO, NIST, OECD, ITU, and other bodies, and translate material updates into internal compliance obligation reviews.

CMP-003
medium

Voluntary AI Framework Obligation Mapping

Map voluntary AI commitments (industry pledges, government agreements, sandbox conditions) against sector-specific regulatory requirements to identify where voluntary obligations create compliance risk or regulatory uplift.

CMP-004
medium

Non-Legislative AI Obligation Tracker

Identify and track AI governance obligations that arise outside formal legislation, including procurement rules, bilateral agreements, sandbox exit conditions, and regulatory guidance letters.

CMP-005
medium

Regulatory Engagement Process for AI Standards Development

Define how the organization participates in regulatory consultation processes, comment periods, and public-private working groups during the development of AI regulations and standards.

CMP-006
medium

AI Content Watermarking and Labeling Compliance

Maintain an operational checklist of jurisdiction-specific requirements for labeling, watermarking, and provenance disclosure of AI-generated content, and implement the required technical and procedural controls.

CMP-008
medium

Federal AI Regulatory Monitoring and Pre-Deployment Vetting

Monitor US federal AI regulatory developments across executive orders, agency guidance, and frontier model requirements, and maintain a pre-deployment vetting protocol aligned to current federal expectations.