A large CPA audit firm with offices across the United States faced growing challenges in detecting potential tax fraud due to complex and varying regional tax regulations. Their traditional audit processes, which relied on manual efforts, struggled to keep up with the increasing volume of client data. To address these issues, we implemented a centralized, AI-driven fraud detection solution that integrated financial data from all offices into a unified platform. This scalable system leveraged machine learning to analyze financial transactions in near real-time, flagging suspicious patterns for further investigation. Auditors were empowered with self-service analytics tools, allowing them to explore potential fraud cases in real time. The result was improved audit efficiency, enabling auditors to focus on high-risk cases, while leadership gained actionable insights into fraud trends, helping refine client engagements and enhance fraud prevention strategies nationwide.