Model AI Governance Framework for Agentic AI
Published by IMDA. Version 1.0 launched 22 January 2026 at the World Economic Forum; Version 1.5 published 20 May 2026, updated 5 June 2026, incorporating feedback from over sixty companies. Organizes guidance for agentic AI (systems that plan and take actions) into four dimensions.
Defined in 2 GAGE programs, which carry 3 distinct definitions of it. The wording above is taught in Certified AI Governance Professional (CAIGP).
How each discipline defines it
The same term does different work depending on who is using it. These are the definitions as each program teaches them, unedited.
IMDA's voluntary framework (Version 1.0, 22 January 2026; Version 1.5, 20 May 2026, updated 5 June 2026), whose four dimensions, assess and bound risks upfront, make humans meaningfully accountable, implement technical controls, enable end-user responsibility, supply the design language for this topic's role and escalation path.
Published by IMDA. Version 1.0 launched 22 January 2026 at the World Economic Forum; Version 1.5 published 20 May 2026, updated 5 June 2026, incorporating feedback from over sixty companies. Organizes guidance for agentic AI (systems that plan and take actions) into four dimensions.
A separate, cross-sector, voluntary IMDA instrument covering AI systems that act rather than only recommend, with its own four dimensions. It applies alongside, not instead of, the AIRG for a financial institution's agentic AI features. (see Topic 6.7)
Where it is taught
The exact lessons this term appears in. The first module of every program is free with a free account.
- The Singapore stack: voluntary on paper, adopted in practice · The World's Rulebooks, Certified AI Governance Professional (CAIGP)
- MAS runs the hardest AI regime in APAC, and it has never been a law · The World's Rulebooks, Certified AI Governance Professional (CAIGP)
- The APAC Regional HQ Operating Model · Lab: Regional and Geopolitical AI, Certified AI Transformation Professional (CATP)
Where it shows up at work
A definition is where Model AI Governance Framework for Agentic AI starts. The lessons above teach it inside the competencies below, which are what job descriptions ask for and what the GAGE credential records. Every link here is drawn from the same careers map that builds a role's readiness check.
Applies IMDA's Model AI Governance Framework, AI Verify and the PDPA alongside Western frameworks for organizations operating across Asia.
2 lessons on this page teach it as a primary outcome.
Designs decision rights, committees, intake, approval tiers and escalation so routine uses move and consequential uses get reviewed.
One lesson on this page teach it as a primary outcome.
Roles that hire for it
Each role page shows the full competency set, what the seat decides, and a readiness check against your own evidence.
- Chief AI Officerneeds it at depth
- Chief Compliance Officer, AI compliance editionneeds it at depth
- VP of AI Governance and Ethicsneeds it at depth
- Autonomous Systems Governance Lead, robotics and physical AI editionneeds it at depth
- AI Governance Managerneeds it at depth
- Chief Data Officer, data leadership editionneeds working knowledge
How job descriptions say it
Postings rarely use the textbook word. These are the phrases the careers map reads as asking for the competencies above.
Where the frameworks place it: IMDA Model AI Governance Framework; PDPA; AI Verify; NIST AI RMF GOVERN.
One interview question about it
Compare Singapore's approach to AI governance with the EU's, and say when a company should follow which.
Asked of candidates for singapore and apac ai governance frameworks. Answering it in your own words is exactly how a GAGE topic is passed, and the credential records the pass where an employer can check it.
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.