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Estimated time: ~4 minutes · 12 questions · 6 control domains

Singapore IMDA Agentic AI Framework Readiness Assessment

A focused 12-question assessment covering the six governance dimensions of the Singapore IMDA Model AI Governance Framework for Agentic AI (January 2026) - the world's first dedicated governance standard for autonomous AI agents.

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Singapore IMDAAgentic AIHuman OversightThird-Party Assurance
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Score
0/36
Answered
0/12
Posture
Not assessed
Gaps Found
0

Assessment Complete

0/36

Top Priority Gaps

Questions scored 0 (Not Started) or 1 (Ad Hoc) - highest impact first.

Domain Breakdown

Close the Gaps Identified Above

AI Controls Professional includes the agentic AI governance module with policy templates, autonomy bounding frameworks, incident response procedures, and agent registry templates aligned with the IMDA framework. See the IMDA Framework Guide for operational context.

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Frequently asked questions

What does this assessment cover?
Six governance dimensions from the IMDA Model AI Governance Framework for Agentic AI: accountability and governance structure, agent identity and transparency, autonomy bounding and human oversight, data and model governance, safety testing and incident response, and ecosystem trust and interoperability. 12 questions, approximately 4 minutes.
When was the IMDA framework published?
January 15, 2026. It is the world's first dedicated governance framework for agentic AI, addressing risks specific to autonomous agents that can plan, delegate, and act across connected systems.
Is this relevant outside Singapore?
Yes. The IMDA framework has become a de facto international reference for agentic AI governance, similar to how Singapore's original Model AI Governance Framework influenced global practice. Organizations worldwide are using it as a governance baseline for autonomous agent deployments regardless of jurisdiction.
Does this store my answers?
No. Everything runs in your browser. Nothing is transmitted or stored.

Informational only. Not legal advice. This assessment does not determine compliance with any law, regulation, or standard.