Strengthening Integrity in Federal Programs

Fraud, waste, and abuse (FWA) and improper payments cost taxpayers between $233 billion and $521 billion annually¹, eroding public trust in federal programs. Increasingly sophisticated fraudsters exploit loopholes via advanced cyber threats and fraud schemes causing potentially catastrophic damage. Addressing FWA, improper payments, and siloed data is critical to restoring integrity and efficiency.

Fraud activities are often interconnected and highly sophisticated, which requires continuous monitoring and safeguarding. If applied with a policy-driven, mission-first approach, capabilities enabled by AI can generate investigator-ready rationales, and align findings with agency policies for effective prevention.

Our federal government requires proactive, scalable, and explainable AI solutions that are built on data that has been aggregated, cleansed, and structured to help identify new and evolving fraud patterns and adapt to collusive threats. By enhancing fraud rule indicators and breaking down data silos, our KPMG transparent AI technology applications learn with minimal supervision, detect adversarial tactics, and help our clients stay ahead of evolving fraudsters.