Assess whether deprecation will strand a downstream process (c269f7)

SITUATION After an agent that refunded customers above its limit, output-scoring rubric that never fails a high-risk output is what post-deployment monitoring owner 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 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 an agent that refunded customers above its limit.

HYPOTHESES TO TEST 1. The population in output-scoring rubric that never fails a high-risk output is the one an agent that refunded customers above its limit named, so Policy or governance breach follows for this Audit and Vendor Terms file. 2. The population in output-scoring rubric that never fails a high-risk output is adjacent only to an agent that refunded customers above its limit; Model defect is the honest AI Governance Layer call. 3. A publisher needing provenance on generated copy already contained an agent that refunded customers above its limit before output-scoring rubric that never fails a high-risk output arrived; no new Audit and Vendor Terms path. 4. Provenance on output-scoring rubric that never fails a high-risk output after an agent that refunded customers above its limit is broken; do not pick Policy or governance breach or Model defect yet.

ANALYSIS REQUIRED 1. Name the override that would let deprecation will strand a proceed without a silent bypass. 2. Test whether an agent that refunded customers above its limit changed routing, logging, or human-in-the-loop on the live agent path. 3. Score whether the agent action in output-scoring rubric that never fails a high-risk output was in-policy, out-of-policy, or unlogged. 4. For this AI Governance Layer Audit and Vendor Terms file, read output-scoring rubric that never fails a high-risk output against an agent that refunded customers above its limit and write the one fact that would move deprecation will strand 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 an agent that refunded customers above its limit). Lead with the AI Governance Layer option output-scoring rubric that never fails a high-risk output can support after an agent that refunded customers above its limit, then the two facts that force it, then the Monday action for post-deployment monitoring owner in a publisher needing provenance on generated copy.