Set Monitoring Triggers That Force Reassessment
Explore how to set effective monitoring and reassessment triggers to detect shifts in AI system performance and maintain workflow safety. Understand the importance of distinguishing between monitoring signals and reassessment triggers, apply guidance from OMB Memorandum M-25-21, and implement routines that ensure accountability and timely response after AI updates or errors.
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 ...