Assess whether monitoring detects drift or only outages (10318a)

SITUATION A human reviewer who clicked approve in under two seconds put output-scoring rubric that never fails a high-risk output in front of post-deployment monitoring owner in a manufacturer sunsetting a vision model still used in QA. This AI Governance Layer / Control Plane and Scoring close is monitoring detects drift or from output-scoring rubric that never fails a high-risk output, and the live options are Monitoring detects drift, Only outages.

DECISION Post-deployment monitoring owner in a manufacturer sunsetting a vision model still used in QA must choose Monitoring detects drift / Only outages using output-scoring rubric that never fails a high-risk output after a human reviewer who clicked approve in under two seconds.

HYPOTHESES TO TEST 1. Output-scoring rubric that never fails a high-risk output reads as Monitoring detects drift once a human reviewer who clicked approve in under two seconds is lined up to the same AI Governance Layer population. 2. Output-scoring rubric that never fails a high-risk output is closer to Only outages after a human reviewer who clicked approve in under two seconds; Monitoring detects drift would over-claim this Control Plane and Scoring extract. 3. A dual reading is still live in output-scoring rubric that never fails a high-risk output for post-deployment monitoring owner in a manufacturer sunsetting a vision model still used in QA. 4. Output-scoring rubric that never fails a high-risk output is missing the fact post-deployment monitoring owner needs after a human reviewer who clicked approve in under two seconds; stop this AI Governance Layer close.

ANALYSIS REQUIRED 1. Score whether the agent action in output-scoring rubric that never fails a high-risk output was in-policy, out-of-policy, or unlogged. 2. Confirm the inventory line still matches the running configuration in a manufacturer sunsetting a vision model still used in QA. 3. Map the control-plane score in output-scoring rubric that never fails a high-risk output to the policy gate post-deployment monitoring owner can enforce. 4. For this AI Governance Layer Control Plane and Scoring file, read output-scoring rubric that never fails a high-risk output against a human reviewer who clicked approve in under two seconds and write the one fact that would move monitoring detects drift or for post-deployment monitoring owner.

RECOMMENDATION Choose Monitoring detects drift / Only outages on this AI Governance Layer / Control Plane and Scoring packet (output-scoring rubric that never fails a high-risk output after a human reviewer who clicked approve in under two seconds). If output-scoring rubric that never fails a high-risk output cannot force a AI Governance Layer label under Control Plane and Scoring, stop. Do not invent missing evidence a manufacturer sunsetting a vision model still used in QA does not have.