AI is being adopted at breakneck speed, but speed is rarely a synonym for accuracy. When AI gets it wrong, it does not just guess, it does so with total, convincing confidence. In this session​, we will explore the high cost of blind trust in AI and provide a clear, four-part framework for identifying where your risks truly lie: - The Model Itself - How We Prompt It - Data Hygiene - Data Governance We will move beyond just identifying failure points to discussing practical strategies that protect your organization without compromising efficiency. We are not here to lecture, we are here to solve. The first half breaks down the mechanics of AI failure, and the second half is dedicated to a no-holds-barred group discussion. Come prepared to share your experiences and challenge your peers on how we can actually govern these tools in the real world.