Free checklist

AI Agent Assurance Checklist

Use this checklist to pressure-test whether your organisation can explain what AI agents exist, what they can access, how they are controlled, where human oversight applies and what evidence exists for review.

Most AI agent risk is not caused by the model alone.

The bigger assurance questions are usually about action, access, autonomy and evidence. This checklist helps CISOs, AI leaders, risk teams and vendors ask the right questions before an agent becomes an uncontrolled operational actor.

Ownership

Who owns the agent, approves its use and accepts the residual risk?

Access

What tools, data, systems, connectors and model providers can it reach?

Evidence

Can you prove what controls existed, what actions were approved and what happened at runtime?

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What it covers

  • AI agent inventory and ownership
  • Autonomy and tool-access mapping
  • Data exposure and connector risk
  • Human-in, human-on and human-over-the-loop controls
  • Runtime decisions, logs and evidence
  • Board, buyer, CISO and audit questions

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When to use it

Before deployment

Check whether ownership, autonomy, access and human oversight are clear before the agent is put into operation.

Before a buyer review

Prepare sharper answers when enterprise buyers ask how your AI system or agent is governed.

Before board reporting

Turn vague AI risk discussion into a more evidence-led conversation about exposure, gaps and decisions.

Need help applying it?

Use the checklist as the first step into a 30-day assurance sprint.

Gamut can turn the checklist into a working inventory, autonomy map, evidence pack, control gap report and board-ready assurance summary.

View the 30-day sprint