Most organizations plan for the day a system goes down. Very few plan for the day a model is wrong. Do you know what your business runs on when AI fails? Imagine having that answer written down before anyone needs it. In this session, Dewayne Hart examines the failure modes unique to AI — drift, false confidence, and pipeline or vendor outages — and shows how governance, privacy, and integrity are engineered at architecture time rather than added later. You will leave with an AI Continuity Plan you can build this week, and a named owner.