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Audit Trails for AI Agents

Definition

Audit trails for AI agents are logs that record what an agent did, what tools it used, what data it accessed, and what outputs it produced.

An audit trail makes agent behavior visible after the fact. It helps teams debug errors, review performance, investigate incidents, satisfy compliance needs, and understand whether the agent is actually creating value.

For Growth Marshal's audience, audit trails are part of making AI operational. If an agent touches customers, revenue, operations, or sensitive data, the business needs a record. Otherwise every mistake becomes a ghost story: nobody knows what happened, why it happened, or how to prevent it.