Assess whether vendor terms allow customer data in training (7e771a)

SITUATION A batch job still calling a retired endpoint put vendor MSA clauses on training, indemnity, and subprocessors in front of multi-model reconciliation lead in a publisher needing provenance on generated copy. This AI Governance Layer / Control Plane and Scoring close is vendor terms allow customer from vendor MSA clauses on training, indemnity, and subprocessors, and the live options are Policy or governance breach, Model defect, Dual failure.

DECISION Multi-model reconciliation lead in a publisher needing provenance on generated copy must choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact using vendor MSA clauses on training, indemnity, and subprocessors after a batch job still calling a retired endpoint.

HYPOTHESES TO TEST 1. Authorize Policy or governance breach now; vendor MSA clauses on training, indemnity, and subprocessors already has the discriminator after a batch job still calling a retired endpoint. 2. Keep Model defect in force until vendor MSA clauses on training, indemnity, and subprocessors is completed after a batch job still calling a retired endpoint for multi-model reconciliation lead. 3. Treat vendor MSA clauses on training, indemnity, and subprocessors 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 vendor terms allow customer turns on in vendor MSA clauses on training, indemnity, and subprocessors.

ANALYSIS REQUIRED 1. Map the control-plane score in vendor MSA clauses on training, indemnity, and subprocessors to the policy gate multi-model reconciliation lead can enforce. 2. Name the override that would let vendor terms allow customer 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 Control Plane and Scoring file, read vendor MSA clauses on training, indemnity, and subprocessors against a batch job still calling a retired endpoint and write the one fact that would move vendor terms allow customer 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 / Control Plane and Scoring packet (vendor MSA clauses on training, indemnity, and subprocessors after a batch job still calling a retired endpoint). The follow-on Control Plane and Scoring action is what multi-model reconciliation lead does next: implement the option, assign an owner, and log the missing fact.