Keeping Human Review in AI Workflows

Make uncertain outputs visible and place review where decisions carry impact.

Define the data inputs, expected outputs, and cases where the system must abstain or request review.

Evaluate representative examples before release, then monitor quality and user corrections. Keep retention and access rules visible to the team.