Artificial intelligence is rapidly changing medical coding workflows, but AI-generated codes are only as reliable as the documentation and oversight behind them. This session provides auditors, coding professionals, and compliance leaders with a practical framework for auditing AI-assisted coding. Learn how to identify common AI failure patterns, validate coding decisions, measure accuracy, and implement quality assurance processes that reduce compliance risk while improving efficiency. Attendees will leave with actionable strategies to confidently audit AI-generated coding and documentation recommendations while maintaining human accountability.