Set Monitoring Triggers That Force Reassessment
Explore how to establish effective monitoring triggers that detect AI system changes and performance issues requiring reassessment. Learn to distinguish monitoring signals from reassessment triggers, apply OMB M-25-21 requirements for high-impact AI, and create routine processes ensuring accountability and safe use. This lesson helps you manage AI performance drift and maintain trustworthiness in dynamic federal environments.
A team can run careful tests and still get caught by the next update. The common mistake sits inside a confident sentence: the workflow was tested once, so it is still safe to rely on. That assumption fails because many AI-assisted steps do not stay fixed. The service changes, retrieval sources shift, or a connected system behaves differently, while the team keeps treating last month’s test record as if it described today’s output.
The brittle point is usually not the ...