Agent policy compliance checklist

Before the agent touches production

[ ] Inventory the policies it must honor: refund limits, approval thresholds, data-residency boundaries, per-role allowed actions.
[ ] Convert each to a condition + action rule (if refund > $50 then require manager_approval).
[ ] Wire high-risk rules to human approval or a hard block before the action executes.
[ ] Log every policy decision (Art. 12 requires logging of high-risk activity).
[ ] Map the top rules to the EU AI Act articles they support (Art. 9 / 12 / 14 / 15).

After every prompt or tool change

[ ] Re-extract rules — drift is the default, not the exception.
[ ] Re-check that no new high-risk action is unguarded.
[ ] Re-validate the obligation map with the current effective dates in mind.

What the checklist is — and is not

The checklist is a control inventory. It tells you which obligations you have a rule for and which you do not. It is not a pass/fail certification, and ticking every box does not make the system "compliant." Conformity is the deployer's responsibility across the full system and should be confirmed with qualified counsel.

Using AgentPolicy in the checklist

Paste your policy text, pick a domain (Finance / HR / Safety / General), and AgentPolicy returns agent-callable checks plus a compliance checklist mapped to EU AI Act obligations. Export the rules and wire them into the runtime — then re-run on every release.

Authoritative references

EU AI Act (Reg. 2024/1689), Art. 9 / 12 / 14 / 15: https://eur-lex.europa.eu/eli/reg/2024/1689/oj
AI Act explorer: https://artificialintelligenceact.eu/
European Commission AI policy: https://digital-strategy.ec.europa.eu/en/policies/regulatory-framework-ai

FAQ

What belongs in an agent policy compliance checklist?

Inventory the policies, convert each to a condition+action rule, wire high-risk rules to human approval or a block, log every decision (Art. 12), and map the top rules to EU AI Act articles (Art. 9/12/14/15).

Should I re-run the checklist after a prompt change?

Yes. A prompt edit changes behavior without changing the written policy; drift is the default. Re-extract rules and re-check for unguarded high-risk actions on every release.

Does a completed checklist certify compliance?

No. It is a control inventory — evidence of which obligations you have a rule for. Conformity is the deployer's responsibility across the full system and must be confirmed with qualified counsel.

Which EU AI Act articles map to policy rules?

Approval gates → Art. 14; data-residency → Art. 9 / Chapter IV; logs → Art. 12; input validation → Art. 15; pipeline risk → Art. 9.

Is AgentPolicy a legal opinion?

No. AgentPolicy helps you extract enforceable rules and see where they map to obligations. It is decision-support, not a legal opinion, a certification, or a guarantee of conformity.

## Disclaimer

Disclaimer (decision-support, not legal advice): AgentPolicy is a tool that helps teams turn policy text into agent-callable checks and a compliance checklist. It is not a legal opinion, a compliance certificate, or a guarantee that an agent is safe or compliant. EU AI Act conformity depends on the full deployed system and is the responsibility of the deploying organization. Verify current obligations and effective dates with qualified counsel before relying on any timeline.

Try AgentPolicy to generate your agent policy compliance checklist mapped to EU AI Act obligations — try AgentPolicy.