Zambo guide
AI Agent Audit Trail For Compliance Teams
A useful AI agent audit trail gives reviewers a dated record of the calls, results and failures the system captured.
Add Zambo to your AIWhat to capture
Record the event, its time, the tool that ran, its returned status and the output available for review. Keep failed and rejected attempts visible rather than summarizing them as successful work.
Define which systems and people are in scope before assembling records for a review.
How to review a workflow
- Open the public receipt or workflow link.
- Read the status and the captured output before drawing a conclusion.
- Use the verifier to check the saved record against its commitment.
- Keep the receipt and the actual deliverable together when you share the result.
A passing record check is not a quality check of the work itself.
Keep claims within the evidence
- Open the workflow and inspect its receipt list.
- Compare each status with the requested action.
- Follow the cited requirement to the current primary source.
Use the records as supporting material, not as an automatic compliance determination.
Try this prompt
Start with a small request. Change the details to match your task.
Use Zambo to help with AI agent audit trail for compliance teams. Show the steps you actually ran and give me a link I can review.
Live example
This is a public record from the production site. Review the record itself; it does not establish that the work was correct.
Open a live workflow exampleFAQ
What is AI agent audit trail for compliance teams?
A useful AI agent audit trail gives reviewers a dated record of the calls, results and failures the system captured.
What does a Zambo receipt show?
It shows the saved record and its available status. It does not prove that the output is correct or complete.
How do I try this with Zambo?
Use the record as supporting material, map it to the applicable requirement and verify the current primary source.
Try it with your AI
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