Artificial intelligence tools remind us every day that they can make mistakes — but in the rush to embrace AI’s extraordinary capabilities, the professional and compliance communities are not taking that warning seriously enough. In this episode, Michael Volkov draws on his own extensive experience in compliance, white-collar defense, and corporate governance to examine the real and serious dangers of AI inaccuracy in high-stakes professional environments, including fabricated case citations, misstatements of legal holdings, and conflation of regulatory frameworks that are invisible to non-experts but potentially devastating in their consequences. Michael argues that AI output must be treated as a starting point rather than a finished product, that human expert verification must be built into AI workflows as a structural requirement rather than an occasional check, and that professional responsibility standards do not diminish simply because an AI tool was involved in producing the work — making the verification imperative not just a best practice, but a professional obligation.