In this episode of Corruption, Crime and Compliance, Michael Volkov makes the case that every organization needs a written AI Acceptable Use Policy now, not eventually, because employees are already using AI tools with or without formal governance. He walks through the three core risk categories driving that urgency: confidentiality exposure when employees submit sensitive data to ungoverned tools, hallucination risk from AI-generated content that can be fabricated yet fully convincing, and vendor risk from the multi-layered data relationships that come with adopting a third-party AI product. He then breaks down what a genuinely effective policy needs to include: clear governance ownership, a real (not rubber-stamp) vendor due diligence process reassessed at least annually, data classification tied directly to tool approval, verification requirements built into actual workflows rather than left as aspirational language, and a no-retaliation incident reporting process that surfaces problems early instead of driving them underground.