AI agent audit trail
Know what your agent requested, which rule applied and why the decision was made. Gatewise connects the audit trail to the control that decides whether an action may proceed.
Early access · Start with one agent workflow.
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What is an AI agent audit trail?
An AI agent audit trail is a record of proposed actions and their decisions, including the policy and evidence used. It helps teams explain allowed, blocked and escalated requests, even when no action reaches the business system.
From an action request to an explainable decision
Gatewise is an action control layer for AI agents. Your application submits a proposed business action for a policy check before calling the business tool, then uses the returned decision to proceed or stop.
The audit trail gives that decision context: what was requested, what was checked and why the result was returned. An ALLOW decision grants permission; it does not prove that the downstream action succeeded.
What a useful agent audit record contains
Use these fields as a checklist when reviewing an agent workflow. Approval and execution details should only be shown when the connected workflow actually supplies them.
- The proposed action and relevant parameters
- The requesting agent or workflow and a request identifier
- The policy evaluated and the rule behind the decision
- The evidence checked and any missing information
- The decision, reason and timestamp
- Where available, the human review outcome and downstream execution result
Example: a refund that needs approval
Illustrative workflow, not customer activity: a support agent proposes a $640 refund. The example policy allows refunds up to $100 automatically and requires Finance approval above $500.
With the required evidence present and no blocking rule triggered, the decision is REQUIRE APPROVAL. The record explains that the amount exceeds the autonomous limit and needs Finance review.
Your application keeps the refund from executing while approval is pending. A later approval and a completed refund are separate events; record each only when it actually happens.
Review the actions that never happened
A payment or CRM system can show its completed changes. It may not show the request your agent made that was blocked before reaching it.
Reviewing blocked requests, unnecessary actions and missing evidence helps operations and engineering teams identify recurring problems and decide whether the workflow or policy needs to change.
Start with one workflow
Choose a concrete action such as issuing refunds, changing CRM records or sending customer messages. Define the rule, the evidence needed and who reviews exceptions.
Request early access to review that workflow with Gatewise. Share what you need to reconstruct after a decision and which actions should require a check before execution.
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