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What applies to me? →Singapore Model AI Governance Framework for Agentic AI
Issued by
Infocomm Media Development Authority (IMDA), Singapore
- September 30, 2026 · Correction — Rewrote this entry around the framework itself (launched 22 January 2026); it previously described only a later parliamentary answer. Checked against IMDA and MDDI. (Cody Maxwell)
Singapore's IMDA launched the Model AI Governance Framework for Agentic AI in January 2026. It is the first government framework written for AI agents that plan and act on their own. It is voluntary, but organizations remain legally accountable for their agents' actions.
Applies To
Overview
Singapore's Infocomm Media Development Authority (IMDA) launched this framework on 22 January 2026 at the World Economic Forum. It extends Singapore's Model AI Governance Framework to AI agents that can plan, reason, and take actions with limited human direction. The framework is organized around four areas. Organizations should assess and bound the risks of each agent, keep meaningful human accountability, apply technical controls and processes, and help end users act responsibly. It applies whether an organization builds its own agents or uses third-party ones. Following the framework is voluntary, but organizations remain legally accountable for what their agents do. IMDA published an update in June 2026. In August 2026 the Ministry of Digital Development and Information said, in a parliamentary answer, that AI Verify will be extended to test agentic systems.
Key Requirements
- •Assess each agent's risks and set bounds on what it can access and do.
- •Keep meaningful human accountability, with named owners and checkpoints for consequential actions.
- •Apply technical controls and processes across the agent's life cycle, including testing and monitoring.
- •Give end users the information they need to use agents responsibly.
- •Apply the framework to third-party agents as well as agents built in-house.
What Your Organization Must Do
- →Audit all agentic AI systems currently in production or under development and classify them by autonomy level and decision consequence.
- →Appoint named individuals as accountable oversight officers for each agentic workflow, and document their responsibilities formally in governance records.
- →Map each agentic system's decision points to determine where human checkpoints must be inserted or strengthened to satisfy meaningful oversight expectations.
- →Update internal AI governance policies to explicitly distinguish agentic systems from conventional software, and assign them to a dedicated review and approval process.
- →Review vendor and partner contracts involving agentic AI capabilities to confirm alignment with Singapore's framework requirements and this clarifying guidance.
- →Prepare for AI Verify scope expansion by cataloguing agentic systems now, so assessments can be initiated promptly once updated tooling is available.
Playbook Guidance
Step-by-step implementation guidance for compliance teams.
Governance Controls
Operational controls that implement requirements from this regulation.
Frequently Asked Questions
- Does Singapore's MDDI parliamentary response on agentic AI create new binding legal obligations for enterprises?
- No new binding law is introduced, but the response carries significant regulatory weight as an authoritative government interpretation of the existing Model AI Governance Framework for Agentic AI. Non-alignment may affect regulatory standing and eligibility for future licensing or government procurement in Singapore.
- Which organisations need to comply with Singapore's agentic AI governance framework clarified in the August 2026 parliamentary response?
- The guidance applies to enterprises of all sizes, public sector bodies, AI developers, and AI deployers operating in Singapore or deploying agentic systems that interact with Singapore residents. This covers both local and international entities whose agentic AI workflows touch the Singapore market.
- What counts as an agentic AI system under Singapore's Model AI Governance Framework as clarified by MDDI?
- Agentic systems are defined by their capacity to plan and execute multi-step tasks with limited human intervention. The MDDI clarification confirms these systems must be governed as autonomous actors, distinct from conventional software features, and assessed under dedicated review processes.
- What specific oversight roles must Singapore enterprises designate for agentic AI workflows under this framework?
- Enterprises must appoint named individuals as accountable oversight officers for each agentic workflow, with documented accountability chains formalised in governance records. These roles carry responsibility for monitoring autonomous system behaviour and intervening at critical decision points where consequential actions can be initiated without direct human instruction.
- How does AI Verify factor into compliance with Singapore's agentic AI governance requirements?
- The MDDI response confirms that AI Verify testing tools will be extended to cover agentic system assessments as its scope is updated. Enterprises should catalogue their agentic systems now so that formal assessments can begin promptly once the updated tooling becomes available.
- What penalties apply if a company's agentic AI systems are not aligned with Singapore's Model AI Governance Framework for Agentic AI?
- No formal penalty regime is attached to this framework or the MDDI parliamentary clarification. However, non-alignment carries practical consequences including reduced regulatory standing and potential exclusion from government licensing processes and public sector procurement opportunities.