Assess whether disagreement should block, queue, or log (62dfad)

SITUATION A scorecard that rated 100% of outputs 'acceptable' put multi-model disagreement log on production cases in front of post-deployment monitoring owner in an enterprise that just bought an AI 'control plane' vendor. This AI Governance Layer / Lifecycle and Accountability close is disagreement should block, queue, from multi-model disagreement log on production cases, and the live options are Disagreement should block, queue,, Log.

DECISION Post-deployment monitoring owner in an enterprise that just bought an AI 'control plane' vendor must choose Disagreement should block, queue, / Log using multi-model disagreement log on production cases after a scorecard that rated 100% of outputs 'acceptable'.

HYPOTHESES TO TEST 1. Authorize Disagreement should block, queue, now; multi-model disagreement log on production cases already has the discriminator after a scorecard that rated 100% of outputs 'acceptable'. 2. Keep Log in force until multi-model disagreement log on production cases is completed after a scorecard that rated 100% of outputs 'acceptable' for post-deployment monitoring owner. 3. Treat multi-model disagreement log on production cases as Disagreement should block, queue, because both readings appear after a scorecard that rated 100% of outputs 'acceptable'. 4. Refuse a AI Governance Layer close: post-deployment monitoring owner does not have the decision disagreement should block, queue, turns on in multi-model disagreement log on production cases.

ANALYSIS REQUIRED 1. Test whether a scorecard that rated 100% of outputs 'acceptable' changed routing, logging, or human-in-the-loop on the live agent path. 2. Score whether the agent action in multi-model disagreement log on production cases 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 Lifecycle and Accountability file, read multi-model disagreement log on production cases against a scorecard that rated 100% of outputs 'acceptable' 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 (multi-model disagreement log on production cases after a scorecard that rated 100% of outputs 'acceptable'). Lead with the AI Governance Layer option multi-model disagreement log on production cases can support after a scorecard that rated 100% of outputs 'acceptable', then the two facts that force it, then the Monday action for post-deployment monitoring owner in an enterprise that just bought an AI 'control plane' vendor.