Assess whether vendor terms allow customer data in training (97d986)

SITUATION Audit and Vendor Terms work in an enterprise that just bought an AI 'control plane' vendor now turns on vendor terms allow customer because a batch job still calling a retired endpoint put content-attribution tags missing on customer-facing copy in play. Multi-model reconciliation lead should say what content-attribution tags missing on customer-facing copy proves.

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 content-attribution tags missing on customer-facing copy after a batch job still calling a retired endpoint.

HYPOTHESES TO TEST 1. Multi-model reconciliation lead can defend Policy or governance breach from content-attribution tags missing on customer-facing copy after a batch job still calling a retired endpoint in a AI Governance Layer challenge. 2. Multi-model reconciliation lead cannot defend Policy or governance breach from content-attribution tags missing on customer-facing copy; Model defect is what the extract actually supports after a batch job still calling a retired endpoint. 3. A batch job still calling a retired endpoint never reached the population in content-attribution tags missing on customer-facing copy — reopen intake, do not close vendor terms allow customer. 4. Two facts in content-attribution tags missing on customer-facing copy after a batch job still calling a retired endpoint conflict for multi-model reconciliation lead; hold this Audit and Vendor Terms file.

ANALYSIS REQUIRED 1. Test whether a batch job still calling a retired endpoint changed routing, logging, or human-in-the-loop on the live agent path. 2. Score whether the agent action in content-attribution tags missing on customer-facing copy was in-policy, out-of-policy, or unlogged. 3. Confirm the inventory line still matches the running configuration in an enterprise that just bought an AI 'control plane' vendor. 4. For this AI Governance Layer Audit and Vendor Terms file, read content-attribution tags missing on customer-facing copy 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 / Audit and Vendor Terms packet (content-attribution tags missing on customer-facing copy after a batch job still calling a retired endpoint). Lead with the AI Governance Layer option content-attribution tags missing on customer-facing copy 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.