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Event AI production acceptance matrix.

Define evidence, expected behavior and a named owner for each scenario. Add cases from the real event operation; do not treat this starter list as complete.

Expected case

Input: [valid case]

Expected: [output/action]

Evidence: [test record]

Owner: [name/role]

Ambiguous input

[Conflict, missing identifier or incomplete authority.]

Expected: expose uncertainty and route review; no silent guess.

Duplicate or stale input

[Duplicate detection, material difference handling and stale-source boundary.]

Permission change

[Fail-closed behavior when a user, token or source loses authority.]

Provider failure

[Timeout, unavailable model/connector/destination, incomplete output and controlled retry.]

Adversarial or prohibited request

[Unsupported instruction, data request or action; refusal and intervention evidence.]

Manual fallback

[Who acts, which evidence is preserved, how service resumes and what gets reviewed.]

Acceptance decision

[Pass / conditional / fail], [date], [approver], [open conditions and expiry].

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