AI agent governanceAI agent audit trail

AI agent audit trail: a record of everything your agents do

An AI agent audit trail is a record of every action an agent takes: who asked, which agent acted, in which system, what it read or changed, and when.

Sooner or later someone asks what happened: a customer, an auditor, or your own team after a record changed. Without one log, the answer is spread across every tool, or missing.

What to log

Six things every entry should hold

Who asked
The person behind the request, not just the agent or a shared key.
Which agent
Which assistant or agent acted, and in which AI tool.
Which system
The CRM, the finance system, the files: where the action happened.
What it did
What was read, and what was created or changed.
When
The time of each call, so a sequence of actions can be followed.
The outcome
Whether it went through, or was blocked by a rule.
Where it breaks

Why most companies cannot answer the question today

Spread across tools
Each AI tool and each system keeps its own records, in its own format, if at all. Putting one action together means opening several admin panels.
Shared keys
When an agent uses one key for everyone, the system’s log shows the key. Who actually asked is lost.
Personal connections
Connections that one person set up on their own account leave no trace the company can see.
With Deployed OS

How Deployed OS handles it

In Deployed OS every call is logged with the person who asked, the system and what was read or changed, in Claude, ChatGPT and Copilot alike. It is one log for all agents, and it can be exported.

This is one of five controls every company needs for its agents. See all five in our guide to AI agent governance.

More on agent governanceThe full guide
FAQ

Questions about AI agent audit trail

A record of every action an AI agent takes: who asked, which agent acted, in which system, what was read or changed, when, and whether it went through.

Because agents act on company data. When a record changes or a message goes out, the company needs to be able to say who asked for it and what the agent did.

The person who asked, the agent and AI tool, the system, what was read or changed, the time, and the outcome, including actions that a rule blocked.

Yes, if both reach your systems through the same connection layer. Then every call passes one place and is logged there, whichever AI tool made it.