Introduction

Human review is most effective when it is designed into the process rather than added after an AI system makes a mistake. The workflow should explain which cases need review, what information the reviewer sees, and how the system continues after a decision.

In multilingual feedback routing, an uncertain classification may need attention before a ticket is sent to a team. The same principle applies when model output influences another customer-facing or operational action.

Choose review triggers

Possible triggers include missing required information, an unsupported language, an ambiguous category, disagreement between validation rules, or an action with significant consequences. Do not depend on a model's confidence value alone unless it has been calibrated and evaluated for the specific task.

Give reviewers useful context

Show the original input or a protected reference, the proposed result, the relevant rule, and the reason the workflow paused.…