Agent Builder Governance and Trust Audit (QA)
A checklist with 7 steps: Map every agent action to a named client workflow and document the expected outcome.
By InnovaAI ResearchPublished
What are the steps?
Agent Builder Governance and Trust Audit (QA)
- 01
Map every agent action to a named client workflow and document the expected outcome.
For each agent flow, record the triggering event, the tools it calls, and the success criteria tied to a specific client deliverable or retainer service.
- 02
Verify that the agent's memory and data access are scoped to the minimum necessary for the task.
Check that the platform's memory settings and tool permissions restrict access to only the client data required, and confirm that any shared memory across clients is isolated.
- 03
Test the agent's behavior with adversarial inputs and edge cases.
Run a set of test prompts that include ambiguous requests, out-of-scope questions, and attempts to extract sensitive information, and document how the agent responds.
- 04
Review the agent's output for compliance with client brand guidelines and factual accuracy.
Sample a representative set of outputs and check them against the client's style guide, key messaging, and any regulatory requirements, flagging any deviations.
- 05
Confirm that the agent's actions are logged and auditable.
Ensure the platform provides a complete log of every action taken by the agent, including tool calls, data accessed, and decisions made, and that these logs are retained for the client's required period.
- 06
Establish a rollback and override procedure for agent decisions.
Define how a human operator can review, approve, or reverse any agent action, and test that the override mechanism works in practice.
- 07
Document the agent's limitations and failure modes for the client.
Create a plain-language summary of what the agent can and cannot do, known failure scenarios, and the escalation path, and share it with the client as part of the governance package.