What was asked
What work was the agent asked to do, and who asked for it?
AI agent audit trail
Record why the agent acted
An AI agent audit trail should show the request, who approved it, what the agent did, and what happened next. Raw logs matter too. They rarely tell the whole story on their own.
What good looks like
A reviewer can follow the action from request to result.
The record should be readable by operations, security, audit, and risk teams. Each important statement should point to deeper technical evidence without forcing every reader through every log line.
Who approved it
Who allowed the work, and what did they allow?
What it did
What did the agent actually do?
What changed
What changed, what failed, and how do you know?
Who stepped in
Where did a person review, stop, or correct the work?
The practical distinction
Observability shows activity. An audit trail connects activity to authority.
Traces, tool logs, and model telemetry help teams see what an agent did. An audit trail adds who approved the work and what came of it. A reviewer can then explain whether that action should have happened.
See how the record connectsStart with one workflow