Design an Approval Inbox for AI-Proposed Actions
An approval record tied to an exact proposed action for a practical business AI workflow, with steps, an acceptance test, and a reusable prompt.
By Dr. Connor Robertson · Published October 24, 2026 · Implementation playbook
Deliverable: An approval record tied to an exact proposed action. Use this playbook when your team needs a repeatable operating decision with evidence that another person can inspect.
The business situation
An assistant drafting a customer email and proposing a CRM stage change. This is an illustrative scenario, not a reported client result. Start with a small approved sample and the actual constraints of your team.
The operating approach
Show the reviewer the recipient, exact message, record ID, proposed changes, evidence, and expiry. Approval must apply to that snapshot. Editing the action or changing the underlying record invalidates the approval.
Build it step by step
- Separate draft preparation from execution permissions.
- Store a version or hash of the complete action payload.
- Require an authenticated reviewer with authority for the action.
- Recheck approval, record version, and expiry immediately before execution.
A concrete acceptance test
Approve an email draft, then change the recipient or price. The system should require a fresh approval. Test expired approval and a reviewer without the required role.
Record the input, expected behavior, actual result, reviewer, and version tested. Repeat this case after a prompt, source, model, or integration change. Include the cases that failed in the next regression run.
The mistake to avoid
A generic approve button can authorize an action the reviewer never saw. Bind the decision to the displayed payload.
A reusable working prompt
Create an approval-inbox specification for these actions. Include what the reviewer sees, who may approve, expiry, edit invalidation, execution checks, and an audit record.
Replace general descriptions with your approved process details. The prompt helps prepare an artifact; the process owner verifies the finished result before it changes a live workflow.
What to keep in the handoff
Save the accepted an approval record tied to an exact proposed action, its source versions, test evidence, unresolved questions, and a named owner. Set a review trigger tied to a meaningful business change, rather than leaving the pilot without maintenance.
Continue implementation
- Create an AI Agent Failure and Recovery Runbook
- Track AI Agent Quality, Cost, and Business Outcomes
- Copy the implementation templates
- Calculate review-adjusted AI ROI
Explore AI Agents and Integrations or contact Dr. Connor Robertson about your business workflow.