AI-Powered Fraud, Waste & Abuse Detection for Federal Programs
Federal agencies are under growing pressure to reduce fraud, waste and abuse across payments, benefits and procurement. Yet, traditional rules-based systems and manual reviews often cannot keep up with evolving schemes or rising transaction volumes.
Attendees joined H2O.ai as they showed how explainable AI could strengthen program integrity, reduce improper payments and speed up investigations without disrupting mission delivery. The session highlighted how AI could analyze large volumes of data to surface risk patterns and improve over time. By the end of this webinar, attendees were able to:
- Understand how AI improves detection accuracy while supporting explainability for oversight needs
- Define core KPIs such as improper payment reduction, case throughput and recovery outcomes
- Describe how to integrate AI into existing federal systems with proper security and governance
- Identify key FWA use cases across payments, eligibility, procurement and insider risk
Participants gained a practical roadmap to apply AI driven fraud detection across key use cases performance metrics and governance considerations.
Speaker Details
Jeffrey Phelan
Public Sector Chief Technologist & Growth Lead, H2O.ai
Event Topic
Artificial Intelligence, Big Data, ProcurementRelevant Audiences
All State and Local Government, All Federal Government
Event Type
On-Demand
Event Subtype
Webinar / Webcast
Duration
1h 0min
Registration Cost
Complimentary
Organizer