Assess whether disagreement should block, queue, or log (d9bd86)

SITUATION The Lifecycle and Accountability working file is output-scoring rubric that never fails a high-risk output after an agent that refunded customers above its limit. Decision-audit designer in a company whose agents can send email without a gate must name Disagreement should block, queue, or Log for this AI Governance Layer file. Decision-audit designer in a company whose agents can send email without a gate has to name Disagreement should block, queue, or Log for this AI Governance Layer Lifecycle and Accountability file.

DECISION Decision-audit designer in a company whose agents can send email without a gate must choose Disagreement should block, queue, / Log using output-scoring rubric that never fails a high-risk output after an agent that refunded customers above its limit.

HYPOTHESES TO TEST 1. An agent that refunded customers above its limit is noise around an already-controlled Lifecycle and Accountability process in a company whose agents can send email without a gate, given output-scoring rubric that never fails a high-risk output. 2. An agent that refunded customers above its limit is the event in output-scoring rubric that never fails a high-risk output that forces Disagreement should block, queue, for decision-audit designer under AI Governance Layer. 3. Output-scoring rubric that never fails a high-risk output shows a one-file miss after an agent that refunded customers above its limit, not a Lifecycle and Accountability program failure. 4. Output-scoring rubric that never fails a high-risk output cannot decide disagreement should block, queue, yet after an agent that refunded customers above its limit; hold is the only AI Governance Layer close a company whose agents can send email without a gate can defend.

ANALYSIS REQUIRED 1. Test whether an agent that refunded customers above its limit changed routing, logging, or human-in-the-loop on the live agent path. 2. Score whether the agent action in output-scoring rubric that never fails a high-risk output was in-policy, out-of-policy, or unlogged. 3. Confirm the inventory line still matches the running configuration in a company whose agents can send email without a gate. 4. For this AI Governance Layer Lifecycle and Accountability file, read output-scoring rubric that never fails a high-risk output against an agent that refunded customers above its limit and write the one fact that would move disagreement should block, queue, for decision-audit designer.

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 an agent that refunded customers above its limit). If output-scoring rubric that never fails a high-risk output cannot force a AI Governance Layer label under Lifecycle and Accountability, stop. If output-scoring rubric that never fails a high-risk output after an agent that refunded customers above its limit cannot support Disagreement should block, queue, versus Log on this AI Governance Layer Lifecycle and Accountability close, decision-audit designer must leave the classification unresolved and name the missing control or provenance fact.