Assess whether vendor terms allow customer data in training (6d6a9f)

SITUATION Content-attribution program lead is responsible for vendor terms allow customer in a bank running three models on the same credit file, using output-scoring rubric that never fails a high-risk output as the only working extract. An agent that refunded customers above its limit is what reset the timeline for this AI Governance Layer Audit and Vendor Terms file.

DECISION Content-attribution program lead in a bank running three models on the same credit file 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. Output-scoring rubric that never fails a high-risk output reads as Policy or governance breach once an agent that refunded customers above its limit 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 an agent that refunded customers above its limit; 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 content-attribution program lead in a bank running three models on the same credit file. 4. Output-scoring rubric that never fails a high-risk output is missing the fact content-attribution program lead needs after an agent that refunded customers above its limit; stop this AI Governance Layer close.

ANALYSIS REQUIRED 1. Name the override that would let vendor terms allow customer 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 vendor terms allow customer for content-attribution program 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 an agent that refunded customers above its limit). If output-scoring rubric that never fails a high-risk output cannot force a AI Governance Layer label under Audit and Vendor Terms, stop. Do not invent missing evidence a bank running three models on the same credit file does not have.