Assess whether the control plane actually controls production traffic (b07417)

SITUATION A regulated entity that cannot reconstruct last month's decisions cannot treat a batch job still calling a retired endpoint as incidental context on output-scoring rubric that never fails a high-risk output. Vendor-contract AI counsel's operations partner must close the control plane actually from that extract under AI Governance Layer / Audit and Vendor Terms.

DECISION Vendor-contract AI counsel's operations partner in a regulated entity that cannot reconstruct last month's decisions 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 a batch job still calling a retired endpoint.

HYPOTHESES TO TEST 1. Vendor-contract AI counsel's operations partner can defend Policy or governance breach from output-scoring rubric that never fails a high-risk output after a batch job still calling a retired endpoint in a AI Governance Layer challenge. 2. Vendor-contract AI counsel's operations partner cannot defend Policy or governance breach from output-scoring rubric that never fails a high-risk output; 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 output-scoring rubric that never fails a high-risk output — reopen intake, do not close the control plane actually. 4. Two facts in output-scoring rubric that never fails a high-risk output after a batch job still calling a retired endpoint conflict for vendor-contract AI counsel's operations partner; hold this Audit and Vendor Terms file.

ANALYSIS REQUIRED 1. Name the override that would let the control plane actually proceed without a silent bypass. 2. Test whether a batch job still calling a retired endpoint 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 a batch job still calling a retired endpoint and write the one fact that would move the control plane actually for vendor-contract AI counsel's operations partner.

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 a batch job still calling a retired endpoint). The follow-on Audit and Vendor Terms action is what vendor-contract AI counsel's operations partner does next: implement the option, assign an owner, and log the missing fact.