Assess whether procurement should fail a vendor lacking eval rights (9e5ee6)

SITUATION After a customer discovering AI copy with no disclosure, output-scoring rubric that never fails a high-risk output is what model-deprecation manager can touch in a hospital committee that never records dissent. AI Governance Layer will live with Policy or governance breach versus Model defect on this Control Plane and Scoring file.

DECISION Model-deprecation manager in a hospital committee that never records dissent 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 customer discovering AI copy with no disclosure.

HYPOTHESES TO TEST 1. Model-deprecation manager can defend Policy or governance breach from output-scoring rubric that never fails a high-risk output after a customer discovering AI copy with no disclosure in a AI Governance Layer challenge. 2. Model-deprecation manager cannot defend Policy or governance breach from output-scoring rubric that never fails a high-risk output; Model defect is what the extract actually supports after a customer discovering AI copy with no disclosure. 3. A customer discovering AI copy with no disclosure never reached the population in output-scoring rubric that never fails a high-risk output — reopen intake, do not close procurement should fail a. 4. Two facts in output-scoring rubric that never fails a high-risk output after a customer discovering AI copy with no disclosure conflict for model-deprecation manager; hold this Control Plane and Scoring file.

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 hospital committee that never records dissent. 3. Map the control-plane score in output-scoring rubric that never fails a high-risk output to the policy gate model-deprecation manager 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 customer discovering AI copy with no disclosure and write the one fact that would move procurement should fail a for model-deprecation manager.

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 customer discovering AI copy with no disclosure). Lead with the AI Governance Layer option output-scoring rubric that never fails a high-risk output can support after a customer discovering AI copy with no disclosure, then the two facts that force it, then the Monday action for model-deprecation manager in a hospital committee that never records dissent.