Assess whether disagreement should block, queue, or log (cddf70)

SITUATION Post-deployment monitoring owner is responsible for disagreement should block, queue, in an enterprise that just bought an AI 'control plane' vendor, using output-scoring rubric that never fails a high-risk output as the only working extract. A customer discovering AI copy with no disclosure is what reset the timeline for this AI Governance Layer Lifecycle and Accountability file.

DECISION Post-deployment monitoring owner in an enterprise that just bought an AI 'control plane' vendor must choose Disagreement should block, queue, / Log using output-scoring rubric that never fails a high-risk output after a customer discovering AI copy with no disclosure.

HYPOTHESES TO TEST 1. The population in output-scoring rubric that never fails a high-risk output is the one a customer discovering AI copy with no disclosure named, so Disagreement should block, queue, follows for this Lifecycle and Accountability file. 2. The population in output-scoring rubric that never fails a high-risk output is adjacent only to a customer discovering AI copy with no disclosure; Log is the honest AI Governance Layer call. 3. An enterprise that just bought an AI 'control plane' vendor already contained a customer discovering AI copy with no disclosure before output-scoring rubric that never fails a high-risk output arrived; no new Lifecycle and Accountability path. 4. Provenance on output-scoring rubric that never fails a high-risk output after a customer discovering AI copy with no disclosure is broken; do not pick Disagreement should block, queue, or Log yet.

ANALYSIS REQUIRED 1. Confirm the inventory line still matches the running configuration in an enterprise that just bought an AI 'control plane' vendor. 2. Map the control-plane score in output-scoring rubric that never fails a high-risk output to the policy gate post-deployment monitoring owner can enforce. 3. Name the override that would let disagreement should block, queue, proceed without a silent bypass. 4. For this AI Governance Layer Lifecycle and Accountability file, read output-scoring rubric that never fails a high-risk output against a customer discovering AI copy with no disclosure and write the one fact that would move disagreement should block, queue, for post-deployment monitoring owner.

RECOMMENDATION Choose Disagreement should block, queue, / Log on this AI Governance Layer / Lifecycle and Accountability packet (output-scoring rubric that never fails a high-risk output after a customer discovering AI copy with no disclosure). The follow-on Lifecycle and Accountability action is what post-deployment monitoring owner does next: implement the option, assign an owner, and log the missing fact.