Start with a controlled asset group, establish a baseline, confirm data quality, and test the response path before expanding coverage.
For systems supported by AI and Machine Learning, include performance acceptance criteria, false-alarm review, model-drift monitoring, cybersecurity, access, and a clear route to restrict or retire the model.
