Assess whether a shadow system must be decommissioned this quarter (1702ae)

Situation

After a near-miss where an agent emailed a customer unreviewed, board literacy briefing deck with overstated claims is what vendor-diligence reviewer for AI tools can touch in a city using a hiring-screen algorithm. AI Governance will live with Policy or governance breach versus Model defect on this Vendors and Agentic Systems file.

Decision

Vendor-diligence reviewer for AI tools in a city using a hiring-screen algorithm must choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact using board literacy briefing deck with overstated claims after a near-miss where an agent emailed a customer unreviewed.

Hypotheses to test

• A near-miss where an agent emailed a customer unreviewed is noise around an already-controlled Vendors and Agentic Systems process in a city using a hiring-screen algorithm, given board literacy briefing deck with overstated claims.
• A near-miss where an agent emailed a customer unreviewed is the event in board literacy briefing deck with overstated claims that forces Policy or governance breach for vendor-diligence reviewer for AI tools under AI Governance.
• Board literacy briefing deck with overstated claims shows a one-file miss after a near-miss where an agent emailed a customer unreviewed, not a Vendors and Agentic Systems program failure.
• Board literacy briefing deck with overstated claims cannot decide a shadow system must yet after a near-miss where an agent emailed a customer unreviewed; hold is the only AI Governance close a city using a hiring-screen algorithm can defend.

Analysis required

• Walk the model input/output path recorded in board literacy briefing deck with overstated claims and mark each hop approved, shadow, or unlogged.
• Verify data provenance and the human-oversight gate vendor-diligence reviewer for AI tools can actually point to.
• Walk the model input/output path recorded in board literacy briefing deck with overstated claims and mark each hop approved, shadow, or unlogged.
• For this AI Governance Vendors and Agentic Systems file, read board literacy briefing deck with overstated claims against a near-miss where an agent emailed a customer unreviewed and write the one fact that would move a shadow system must for vendor-diligence reviewer for AI tools.

Recommendation