AI Agent Audit Trail Checklist
Every tool call, every intermediate decision. If an agent approved something, the trail must be reconstructable — even across multi-agent chains.
What's included
- Editable Word checklist
- What to log per agent action
- End-to-end reconstruction test
- Legal Notice
Why this document exists
Art. 12 of the AI Act requires high-risk AI systems to automatically log events over their lifecycle. For an autonomous agent chaining multiple actions — calling tools, retrieving data, making intermediate decisions — that same requirement means every step in the chain needs to be replayable, not just the final output. If an agent approved a transaction or rejected an applicant, "the model said so" is not an audit trail; the sequence of tool calls, retrieved context, and intermediate reasoning is.
Frequently asked questions
Who is this checklist for?
Technical and compliance teams who need to verify their AI agents' activity logs are actually reconstructable, not just present.
Does it replace legal advice?
No. It's a working template that organizes and speeds up the compliance process, but does not constitute legal advice or guarantee compliance with Regulation (EU) 2024/1689 — see the included Legal Notice.
What format is it delivered in?
Instant download after purchase: editable Word checklist, plus the Legal Notice.