Assess whether the control plane actually controls production traffic (674009)

SITUATION A company whose agents can send email without a gate cannot treat a purchase order signed before eval data rights were granted as incidental context on output-scoring rubric that never fails a high-risk output. Model-deprecation manager must close the control plane actually from that extract under AI Governance Layer / Audit and Vendor Terms.

DECISION Model-deprecation manager in a company whose agents can send email without a gate 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 purchase order signed before eval data rights were granted.

HYPOTHESES TO TEST 1. A purchase order signed before eval data rights were granted is noise around an already-controlled Audit and Vendor Terms process in a company whose agents can send email without a gate, given output-scoring rubric that never fails a high-risk output. 2. A purchase order signed before eval data rights were granted is the event in output-scoring rubric that never fails a high-risk output that forces Policy or governance breach for model-deprecation manager under AI Governance Layer. 3. Output-scoring rubric that never fails a high-risk output shows a one-file miss after a purchase order signed before eval data rights were granted, not a Audit and Vendor Terms program failure. 4. Output-scoring rubric that never fails a high-risk output cannot decide the control plane actually yet after a purchase order signed before eval data rights were granted; hold is the only AI Governance Layer close a company whose agents can send email without a gate can defend.

ANALYSIS REQUIRED 1. Score whether the agent action in output-scoring rubric that never fails a high-risk output was in-policy, out-of-policy, or unlogged. 2. Confirm the inventory line still matches the running configuration in a company whose agents can send email without a gate. 3. Map the control-plane score in output-scoring rubric that never fails a high-risk output to the policy gate model-deprecation manager can enforce. 4. For this AI Governance Layer Audit and Vendor Terms file, read output-scoring rubric that never fails a high-risk output against a purchase order signed before eval data rights were granted and write the one fact that would move the control plane actually for model-deprecation manager.

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 purchase order signed before eval data rights were granted). The follow-on Audit and Vendor Terms action is what model-deprecation manager does next: implement the option, assign an owner, and log the missing fact.