Assess whether procurement should fail a vendor lacking eval rights (766780)

SITUATION Multi-model reconciliation lead is responsible for procurement should fail a in an enterprise that just bought an AI 'control plane' vendor, using output-scoring rubric that never fails a high-risk output as the only working extract. A batch job still calling a retired endpoint is what reset the timeline for this AI Governance Layer Audit and Vendor Terms file.

DECISION Multi-model reconciliation lead in an enterprise that just bought an AI 'control plane' vendor 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 batch job still calling a retired endpoint.

HYPOTHESES TO TEST 1. Authorize Policy or governance breach now; output-scoring rubric that never fails a high-risk output already has the discriminator after a batch job still calling a retired endpoint. 2. Keep Model defect in force until output-scoring rubric that never fails a high-risk output is completed after a batch job still calling a retired endpoint for multi-model reconciliation lead. 3. Treat output-scoring rubric that never fails a high-risk output as Dual failure because both readings appear after a batch job still calling a retired endpoint. 4. Refuse a AI Governance Layer close: multi-model reconciliation lead does not have the decision procurement should fail a turns on in output-scoring rubric that never fails a high-risk output.

ANALYSIS REQUIRED 1. 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. 2. Name the override that would let procurement should fail a proceed without a silent bypass. 3. Test whether a batch job still calling a retired endpoint changed routing, logging, or human-in-the-loop on the live agent path. 4. For this AI Governance Layer Audit and Vendor Terms file, read output-scoring rubric that never fails a high-risk output against a batch job still calling a retired endpoint and write the one fact that would move procurement should fail a 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 / Audit and Vendor Terms packet (output-scoring rubric that never fails a high-risk output after a batch job still calling a retired endpoint). Lead with the AI Governance Layer option output-scoring rubric that never fails a high-risk output can support after a batch job still calling a retired endpoint, then the two facts that force it, then the Monday action for multi-model reconciliation lead in an enterprise that just bought an AI 'control plane' vendor.