How to Review an AI Evaluation Set for Missing Business Scenarios

An AI evaluation can show strong results while missing the tasks, exceptions, or user groups most affected by errors. Coverage matters as much as the aggregate score.

What to check

Map evaluation examples to real task types, known edge cases, supported languages, failure severity, and changes since the last release. Remove sensitive data from test records.

Recommended next step

Ask service owners to identify missing cases and track coverage alongside outcome measures. Informatix Systems can help evaluate AI systems for production use.