Human review and AI agent guardrails
Define permissions, review evidence, and recovery procedures for operational AI agents.
Last reviewed: . Published by Phantom Workflow. Editorial contact: Kurt James.
Planning guidance, not client results, performance benchmarks, or a completed implementation. This HTML page and its PDF use the same reviewed content.
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Define the action boundary
List the information an agent may prepare, the actions it may propose, and the actions it may execute. Decisions about money, access, customers, or regulated work need explicit ownership and approved boundaries.
A rule or prompt is not proof that an AI system cannot make mistakes. Describe observable controls and failure tests rather than claiming an error-free system.
Make review actionable
A review request should identify the task, source information, missing context, proposed action, and reason approval is required. The reviewer should be able to approve, reject, or ask for more information.
An alert is not a completed review. Define what the system may do while waiting and how a stalled review is assigned or escalated. Avoid sending a customer confirmation before the decision is recorded.
Plan for changed context
Before executing an approved action, verify that the relevant business record has not changed in a way that invalidates the decision. An old approval may refer to a different appointment, amount, or request state.
Keep a recovery procedure for failed actions and uncertain results. For webhook-based workflows, use the provider's signature requirements and document how repeated or delayed notifications are handled.
Review the risk framework
NIST provides a framework for governing, mapping, measuring, and managing AI risk. Stripe documents webhook signature verification. These are references for a review process, not certifications or proof of a deployed control.
Test rejected actions, unanswered review requests, missing evidence, changed records, and invalid notifications. Have the process owner verify the final state and the trail of decisions.
Decisions to document
| Checkpoint | Decision |
|---|---|
| Permissions | What may the system read, propose, and change? |
| Reviewer | Who owns each approval and what evidence do they receive? |
| Waiting state | What happens while review is pending or overdue? |
| Recovery | Who resolves a failed or uncertain action? |
Sources
- NIST: AI Risk Management Framework. Checked 2026-10-05.
- Stripe: Resolve webhook signature verification errors. Checked 2026-10-05.