Assess whether procurement should fail a vendor lacking eval rights (c866d7)

SITUATION Post-deployment monitoring owner is responsible for procurement should fail a in a publisher needing provenance on generated copy, using output-scoring rubric that never fails a high-risk output as the only working extract. Drift in a protected class the dashboard does not show is what reset the timeline for this AI Governance Layer Audit and Vendor Terms file.

DECISION Post-deployment monitoring owner 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 drift in a protected class the dashboard does not show.

HYPOTHESES TO TEST 1. Output-scoring rubric that never fails a high-risk output reads as Policy or governance breach once drift in a protected class the dashboard does not show 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 drift in a protected class the dashboard does not show; Policy or governance breach would over-claim this Audit and Vendor Terms extract. 3. Dual failure is still live in output-scoring rubric that never fails a high-risk output for post-deployment monitoring owner in a publisher needing provenance on generated copy. 4. Output-scoring rubric that never fails a high-risk output is missing the fact post-deployment monitoring owner needs after drift in a protected class the dashboard does not show; 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 publisher needing provenance on generated copy. 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 Audit and Vendor Terms file, read output-scoring rubric that never fails a high-risk output against drift in a protected class the dashboard does not show and write the one fact that would move procurement should fail a for post-deployment monitoring owner.

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 drift in a protected class the dashboard does not show). Lead with the AI Governance Layer option output-scoring rubric that never fails a high-risk output can support after drift in a protected class the dashboard does not show, then the two facts that force it, then the Monday action for post-deployment monitoring owner in a publisher needing provenance on generated copy.