Audit Trail & Approval Gates
When an agent acts, you need to be able to reconstruct what it did, on what basis, and who allowed it. That is a security requirement — and it is what the EU AI Act asks you to produce.
Sound familiar?
- Logs record the API call but not the reasoning, context or tool chain behind it.
- Consequential actions run without any human confirmation step.
- No defined threshold for what an agent may decide alone.
- Auditors ask for evidence and the team assembles it manually, after the fact.
What we do
Trace design
What is logged per agent run: inputs, retrieved context, tool calls, outputs, decisions.
Approval gates
Explicit human confirmation for actions above a defined risk threshold.
Human-in-the-loop model
Who reviews what, when, and with which information in front of them.
Evidence export
Records in a form an internal auditor or a notified body accepts.
Questions we get
Does this satisfy EU AI Act record-keeping?
It is designed to. We map the trace design to the obligations that apply to your risk class.
Won't approval gates slow the agents down?
Only where the action is consequential. Everything below the threshold keeps running unattended.
Tell us what's running in production.
We'll tell you what we'd check first — and what we wouldn't bother with.
Book a call