Assess whether the control plane actually controls production traffic (46cd22)

SITUATION The working file is output-scoring rubric that never fails a high-risk output after a human reviewer who clicked approve in under two seconds. Content-attribution program lead in a firm whose vendor MSA is silent on training rights has to name Policy or governance breach or Model defect for this AI Governance Layer Lifecycle and Accountability file.

DECISION Content-attribution program lead in a firm whose vendor MSA is silent on training rights must choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact 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 Policy or governance breach 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 Model defect after a human reviewer who clicked approve in under two seconds; Policy or governance breach would over-claim this Lifecycle and Accountability extract. 3. Dual failure is still live in output-scoring rubric that never fails a high-risk output for content-attribution program lead in a firm whose vendor MSA is silent on training rights. 4. Output-scoring rubric that never fails a high-risk output is missing the fact content-attribution program lead 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 firm whose vendor MSA is silent on training rights. 3. Map the control-plane score in output-scoring rubric that never fails a high-risk output to the policy gate content-attribution program lead can enforce. 4. For this AI Governance Layer Lifecycle and Accountability 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 the control plane actually for content-attribution program lead.

RECOMMENDATION Choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact on this AI Governance Layer / Lifecycle and Accountability packet (output-scoring rubric that never fails a high-risk output after a human reviewer who clicked approve in under two seconds). Lead with the AI Governance Layer option output-scoring rubric that never fails a high-risk output can support after a human reviewer who clicked approve in under two seconds, then the two facts that force it, then the Monday action for content-attribution program lead in a firm whose vendor MSA is silent on training rights.