Assess whether a shadow system must be decommissioned this quarter (f717c0)

Situation

A shadow system must sits with vendor-diligence reviewer for AI tools because an examiner request for the current model inventory hit a bank preparing for a model-risk exam. Evidence is agentic-workflow permission matrix; write the AI Governance Bias and Training Data option that extract can carry.

Decision

Vendor-diligence reviewer for AI tools in a bank preparing for a model-risk exam must choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact using agentic-workflow permission matrix after an examiner request for the current model inventory.

Hypotheses to test

• Authorize Policy or governance breach now; agentic-workflow permission matrix already has the discriminator after an examiner request for the current model inventory.
• Keep Model defect in force until agentic-workflow permission matrix is completed after an examiner request for the current model inventory for vendor-diligence reviewer for AI tools.
• Treat agentic-workflow permission matrix as Dual failure because both readings appear after an examiner request for the current model inventory.
• Refuse a AI Governance close: vendor-diligence reviewer for AI tools does not have the page a shadow system must turns on in agentic-workflow permission matrix.

Analysis required

• Split policy-or-governance failure from a model defect using prompts, outputs, and human edits in agentic-workflow permission matrix.
• Reproduce the incident row in agentic-workflow permission matrix and say whether it ever touched production data.
• Split policy-or-governance failure from a model defect using prompts, outputs, and human edits in agentic-workflow permission matrix.
• For this AI Governance Bias and Training Data file, read agentic-workflow permission matrix against an examiner request for the current model inventory and write the one fact that would move a shadow system must for vendor-diligence reviewer for AI tools.

Recommendation

Choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact on this AI Governance / Bias and Training Data packet (agentic-workflow permission matrix after an examiner request for the current model inventory). The follow-on Bias and Training Data action is what vendor-diligence reviewer for AI tools does next: implement the option, assign an owner, and log the missing fact.