Assess whether the system is high-risk under the EU AI Act (ac5a72)

SITUATION A board deck that called the system 'fully explainable' put training-data provenance questionnaire in front of chief AI officer in a retailer using generative AI in customer service. This AI Governance / Vendors and Agentic Systems decision is the system is high-risk from training-data provenance questionnaire, and the live options are Policy or governance breach, Model defect, Dual failure.

DECISION Chief AI officer in a retailer using generative AI in customer service must choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact using training-data provenance questionnaire after a board deck that called the system 'fully explainable'.

HYPOTHESES TO TEST 1. Training-data provenance questionnaire reads as Policy or governance breach once a board deck that called the system 'fully explainable' is lined up to the same AI Governance population. 2. Training-data provenance questionnaire is closer to Model defect after a board deck that called the system 'fully explainable'; Policy or governance breach would over-claim this Vendors and Agentic Systems extract. 3. Dual failure is still live in training-data provenance questionnaire for chief AI officer in a retailer using generative AI in customer service. 4. Training-data provenance questionnaire is missing the fact chief AI officer needs after a board deck that called the system 'fully explainable'; stop this AI Governance close.

ANALYSIS REQUIRED 1. Reproduce the incident row in training-data provenance questionnaire and say whether it ever touched production data. 2. Split policy-or-governance failure from a model defect using prompts, outputs, and human edits in training-data provenance questionnaire. 3. Reproduce the incident row in training-data provenance questionnaire and say whether it ever touched production data. 4. For this AI Governance Vendors and Agentic Systems file, read training-data provenance questionnaire against a board deck that called the system 'fully explainable' and write the one fact that would move the system is high-risk for chief AI officer.

RECOMMENDATION Choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact on this AI Governance / Vendors and Agentic Systems packet (training-data provenance questionnaire after a board deck that called the system 'fully explainable'). Lead with the AI Governance option training-data provenance questionnaire can support after a board deck that called the system 'fully explainable', then the two facts that force it, then the Monday action for chief AI officer in a retailer using generative AI in customer service.

COMMAND RETURNS - Bottom-line AI Governance option on the system is high-risk, then the evidence in training-data provenance questionnaire, then the action for chief AI officer - Hypothesis scorecard against training-data provenance questionnaire: supported / rejected / untestable - What changes the system is high-risk if a board deck that called the system 'fully explainable' is later withdrawn - Named option among Policy or governance breach, Model defect, Dual failure and the fact that kills the others