Assess whether audits can reconstruct who authorized what (22d78f)

Situation

Decision-audit designer owns audits can reconstruct who inside a company whose agents can send email without a gate with reconciliation policy when two models split on materiality as the only packet. A scorecard that rated 100% of outputs 'acceptable' is what changed the clock 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 Policy or governance breach / Model defect / Dual failure / Hold for the missing fact using reconciliation policy when two models split on materiality after a scorecard that rated 100% of outputs 'acceptable'.

Hypotheses to test

• A scorecard that rated 100% of outputs 'acceptable' is noise around an already-controlled Lifecycle and Accountability process in a company whose agents can send email without a gate, given reconciliation policy when two models split on materiality.
• A scorecard that rated 100% of outputs 'acceptable' is the event in reconciliation policy when two models split on materiality that forces Policy or governance breach for decision-audit designer under AI Governance Layer.
• Reconciliation policy when two models split on materiality shows a one-file miss after a scorecard that rated 100% of outputs 'acceptable', not a Lifecycle and Accountability program failure.
• Reconciliation policy when two models split on materiality cannot decide audits can reconstruct who yet after a scorecard that rated 100% of outputs 'acceptable'; hold is the only AI Governance Layer close a company whose agents can send email without a gate can defend.

Analysis required

• Map the control-plane score in reconciliation policy when two models split on materiality to the policy gate decision-audit designer can enforce.
• Name the override that would let audits can reconstruct who proceed without a silent bypass.
• Test whether a scorecard that rated 100% of outputs 'acceptable' changed routing, logging, or human-in-the-loop on the live agent path.
• For this AI Governance Layer Lifecycle and Accountability file, read reconciliation policy when two models split on materiality against a scorecard that rated 100% of outputs 'acceptable' and write the one fact that would move audits can reconstruct who for decision-audit designer.

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