Assess whether the system is high-risk under the EU AI Act (797b90)

SITUATION In an insurer scoring claims with a third-party model, training-data provenance questionnaire is the evidence after a business unit that already went live without a risk tier. Privacy counsel supporting AI inventory has to pick Policy or governance breach or Model defect for this AI Governance Vendors and Agentic Systems close using training-data provenance questionnaire.

DECISION Privacy counsel supporting AI inventory in an insurer scoring claims with a third-party model must choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact using training-data provenance questionnaire after a business unit that already went live without a risk tier.

HYPOTHESES TO TEST 1. A business unit that already went live without a risk tier is noise around an already-controlled Vendors and Agentic Systems process in an insurer scoring claims with a third-party model, given training-data provenance questionnaire. 2. A business unit that already went live without a risk tier is the event in training-data provenance questionnaire that forces Policy or governance breach for privacy counsel supporting AI inventory under AI Governance. 3. Training-data provenance questionnaire shows a one-file miss after a business unit that already went live without a risk tier, not a Vendors and Agentic Systems program failure. 4. Training-data provenance questionnaire cannot decide the system is high-risk yet after a business unit that already went live without a risk tier; hold is the only AI Governance close an insurer scoring claims with a third-party model can defend.

ANALYSIS REQUIRED 1. Split policy-or-governance failure from a model defect using prompts, outputs, and human edits in training-data provenance questionnaire. 2. Reproduce the incident row in training-data provenance questionnaire and say whether it ever touched production data. 3. Split policy-or-governance failure from a model defect using prompts, outputs, and human edits in training-data provenance questionnaire. 4. For this AI Governance Vendors and Agentic Systems file, read training-data provenance questionnaire against a business unit that already went live without a risk tier and write the one fact that would move the system is high-risk for privacy counsel supporting AI inventory.

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 business unit that already went live without a risk tier). If training-data provenance questionnaire cannot force a AI Governance label under Vendors and Agentic Systems, stop. If training-data provenance questionnaire after a business unit that already went live without a risk tier cannot support Policy or governance breach versus Model defect on this AI Governance Vendors and Agentic Systems close, privacy counsel supporting AI inventory must leave the classification unresolved and name the missing control or provenance fact.