WisdomPrompt AI Governance Resource
Human-in-the-Loop Approval Evidence
Prove human review, approval, escalation, exception, and accepted-risk decisions for AI systems, agents, and workflows.
Direct answer
Human-in-the-loop approval evidence shows where people review AI-assisted decisions, what criteria they apply, who approved exceptions, and how the decision is retained. WisdomPrompt keeps approval evidence connected to AI systems, risks, controls, findings, and exports.
How the workflow works
- Define which AI actions require human approval, escalation, or exception review.
- Capture reviewer, decision, timestamp, rationale, evidence, and accepted-risk status.
- Link approvals to AI systems, prompts, model changes, vendor reviews, incidents, and controls.
- Report where human oversight is active, missing, stale, or bypassed.
Evidence WisdomPrompt keeps visible
- Named reviewer and approval history
- Escalation and exception evidence
- Control-linked oversight records
FAQ
When is human-in-the-loop evidence needed?
It is most important for high-impact, customer-facing, regulated, financial, security, HR, or external-publishing workflows.
What makes approval evidence audit-grade?
The record should include who reviewed, what they saw, what decision they made, why, when, and which system or workflow it affected.
Can approvals be automated?
Routine checks can be automated, but important exceptions and risk decisions should keep clear human accountability.