When an AI agent issues a refund or edits a record, your IdP log says a token existed and your app log says an endpoint was hit. Neither tells a reviewer why the action was allowed.
The record that does is written at decision time, and it needs a few things most stacks don't capture today:
- Delegation: which agent acted, and on behalf of which human or workflow
- Tool and parameters: what was actually requested, not just which API was called
- Policy ID and version: the rule set that was evaluated at that moment
- Decision plus reason: allow or deny, with something a person can read
- Approval record: who approved a human-in-the-loop step, and when
- Outcome: whether the side effect really happened
Join them with a trace ID and a tenant, and you can rebuild an agent's action months later without guessing.
Disclosure: I work at Permit.io. We wrote up the full twelve-field list, with an example record and what to leave out for read-only assistants:
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