Assess whether the inventory can be represented to an examiner as complete

SITUATION Privacy counsel supporting AI inventory in a pharma company using LLMs on trial documents has one working extract — training-data provenance questionnaire — after a board deck that called the system 'fully explainable'. If training-data provenance questionnaire cannot support the inventory can be represented, the only defensible AI Governance output is hold.

DECISION Privacy counsel supporting AI inventory in a pharma company using LLMs on trial documents 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. Authorize Policy or governance breach now; training-data provenance questionnaire already has the discriminator after a board deck that called the system 'fully explainable'. 2. Keep Model defect in force until training-data provenance questionnaire is completed after a board deck that called the system 'fully explainable' for privacy counsel supporting AI inventory. 3. Treat training-data provenance questionnaire as Dual failure because both readings appear after a board deck that called the system 'fully explainable'. 4. Refuse a AI Governance close: privacy counsel supporting AI inventory does not have the decision the inventory can be represented turns on in training-data provenance questionnaire.

ANALYSIS REQUIRED 1. Check intended purpose and inventory status against EU AI Act / exam-readiness language after a board deck that called the system 'fully explainable'. 2. Map the approved-use case to the system the inventory can be represented would bind. 3. Check intended purpose and inventory status against EU AI Act / exam-readiness language after a board deck that called the system 'fully explainable'. 4. For this AI Governance Policy and Oversight 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 inventory can be represented 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 / Policy and Oversight packet (training-data provenance questionnaire after a board deck that called the system 'fully explainable'). The follow-on Policy and Oversight action is what privacy counsel supporting AI inventory does next: implement the option, assign an owner, and log the missing fact.

COMMAND RETURNS - Bottom-line AI Governance option on the inventory can be represented, then the evidence in training-data provenance questionnaire, then the action for privacy counsel supporting AI inventory - Hypothesis scorecard against training-data provenance questionnaire: supported / rejected / untestable - What changes the inventory can be represented 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