Article

Human Review in AI Automation

How to design AI-assisted processes where people remain accountable for sensitive decisions, edge cases, and customer-impacting actions.

Why human review matters

AI can reduce repetitive work, but sensitive decisions still need accountability. Human-in-the-loop processes define when AI can answer, when it should ask for review, and when it must hand off entirely.

Common review triggers

Low confidence, customer complaints, refunds, account changes, financial information, legal questions, medical context, or unusual behaviour are strong signals for human review. The exact rules depend on the business and risk profile.

Designing for visibility

Good processes include answer sources, status changes, escalation paths, review queues, and conversation history. This makes automation easier to trust and easier to improve after launch.

AI Governance Support Automation Approval Processes