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AI Governance Resources

Practical tools and analysis for enterprises in Singapore and Southeast Asia building or evaluating their AI governance posture.

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Living guide · June 2026

MAS AIRG: What the Proposed Guidelines Require, Control by Control

Every expectation in MAS's proposed AI Risk Management Guidelines, mapped to the technical enforcement question that determines whether your implementation would hold up under examination. Updated at each milestone on the path to issuance, with the 12-month transition window as the planning anchor.

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Lifecycle control areas 14

Core risk systems 3

Enforcement questions 14

Consultation closed 31 Jan 2026

Transition window 12 months

All resources

New Reference architecture Authority Architecture: Governance That Holds at Execution The four authority questions, the three-layer governance stack, and the financial-transaction control pattern that makes AI governance enforceable at the point of execution. New Living guide MAS AIRG: Control-by-Control Guide Fourteen lifecycle control areas mapped to the enforcement question each one implies. Updated per consultation milestone. Updated Landscape analysis The AI Governance Enforcement Layer 31 commercial and open-source tools across five capability areas. March 2026. Self-assessment tool AI Governance Readiness Checklist 24-point assessment covering AI inventory, human oversight, regulatory compliance, and agentic AI. Mapped to IMDA MGF v1.5, MAS proposed AIRG Guidelines, PDPA, and ISO 42001. New Sample deliverable Sample Enforcement Gap Review An illustrative, fictional example showing the structure and specificity of the one-page diagnosis you receive within 48 hours of a Review call.