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Agentic Risk Boundary

Agentic AI

The defined limit of autonomous operation for an AI agent: the set of conditions, action types, or resource thresholds beyond which the agent cannot proceed without human ratification.

Autonomous AI agents present a governance challenge conventional frameworks were not designed to address. An agent that takes sequences of actions, modifies state, and interacts with external systems creates compounding risk at each step. An agentic risk boundary defines where that autonomy ends: what actions require prior human approval, what resource ceilings apply, and what triggers a Suspended Handoff State. IMDA's 2026 Agentic AI Governance Framework treats task complexity, multi-agent interaction, and action irreversibility as inputs to the upfront risk assessment that sets these thresholds.

How to recognise the gap

For each AI agent in production: can you name the exact action types it cannot take without prior human approval, and the exact conditions that trigger an automatic halt? If not, you do not have a defined agentic risk boundary.

This definition reflects how Aivance uses the term in engagements and deliverables. Where regulatory frameworks use overlapping but distinct terminology, the relevant framework definition applies in compliance contexts.

Governance built on precise terms.

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