From Complexity to Clarity: Leveraging AI to Simplify Fraud, Waste, and Abuse Investigations at Every Level
Fraud, waste, and abuse pose significant challenges across all sectors, from corporate enterprises to federal institutions. With increasing scrutiny from stakeholders and the public, addressing these issues has become an urgent priority, given their considerable financial and reputational impacts.
Traditionally, detecting and remediating fraud involves a myriad of specialized tools that, although capable, remain largely inaccessible to the very professionals who need them most—less-technical business users.
Fraud investigators typically have law enforcement, accounting, legal affairs, or compliance backgrounds. While highly skilled in their respective domains, they often face challenges when using complex analytical tools designed primarily for technical specialists.
There are significant, yet frequently overlooked opportunities to simplify existing tools.
Enter Artificial Intelligence (AI) and Large Language Models (LLMs)—transformative technologies that promise to reshape the landscape of fraud detection, waste minimization, and abuse prevention by making advanced data analytics accessible and intuitive for non-technical users.
