Assess whether agents must have a human gate for external actions (e50b60)

SITUATION After a split so frequent that the queue is being auto-cleared, output-scoring rubric that never fails a high-risk output is what multi-model reconciliation lead can touch in a publisher needing provenance on generated copy. AI Governance Layer will live with Policy or governance breach versus Model defect on this Control Plane and Scoring file.

DECISION Multi-model reconciliation lead in a publisher needing provenance on generated copy 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 split so frequent that the queue is being auto-cleared.

HYPOTHESES TO TEST 1. Output-scoring rubric that never fails a high-risk output reads as Policy or governance breach once a split so frequent that the queue is being auto-cleared 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 split so frequent that the queue is being auto-cleared; Policy or governance breach would over-claim this Control Plane and Scoring extract. 3. Dual failure is still live in output-scoring rubric that never fails a high-risk output for multi-model reconciliation lead in a publisher needing provenance on generated copy. 4. Output-scoring rubric that never fails a high-risk output is missing the fact multi-model reconciliation lead needs after a split so frequent that the queue is being auto-cleared; stop this AI Governance Layer close.

ANALYSIS REQUIRED 1. Confirm the inventory line still matches the running configuration in a publisher needing provenance on generated copy. 2. Map the control-plane score in output-scoring rubric that never fails a high-risk output to the policy gate multi-model reconciliation lead can enforce. 3. Name the override that would let agents must have a human gate proceed without a silent bypass. 4. For this AI Governance Layer Control Plane and Scoring file, read output-scoring rubric that never fails a high-risk output against a split so frequent that the queue is being auto-cleared and write the one fact that would move agents must have a human gate for multi-model reconciliation lead.

RECOMMENDATION Choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact on this AI Governance Layer / Control Plane and Scoring packet (output-scoring rubric that never fails a high-risk output after a split so frequent that the queue is being auto-cleared). 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 publisher needing provenance on generated copy does not have.