Built to detect and stop fraud, waste, and abuse, this AI solution provides federal agencies the power to pinpoint high-risk activity, accelerate investigations, and reduce workloads across their programs.
saved annually for the federal government
million claims processed daily
machine learning model deployed for CMS
When the risk is real, speed matters.
Our AI FWA solution rapidly analyzes structured and unstructured data to flag risk, prioritize review, and uncover hidden connections.
Anomaly Detection at Scale
Uncover fraud, errors, and emerging risks by scanning millions of records for patterns and outliers invisible in manual review.
Automated Case Triage
Prioritize what matters most by scoring incoming data – claims, reports, research – so analysis can focus on the highest impact cases.
Entity Linkage
Expose hidden relationships across people, organizations, and programs by connecting fragmented data sources in real-time.
Natural Language Intelligence
Use AI to extract meaning from unstructured data like call center transcripts, emails, or free-text fields, turning qualitative inputs into searchable, actionable signals.
USE CASES
Built for government’s most complex missions.
When time is of the essence, it's essential for early detection, faster decisions, and stronger program integrity.
Health Claims
Detect suspicious activity and financial anomalies in real-time to prevent abuse and protect public funds.
Benefits Program Oversight
Surface duplicate enrollments, unusual activity, and potential abuse in large-scale public assistance programs.
Food Safety Surveillance
Analyze inspection results, distribution records, and supplier data to flag contamination risks or violations before products reach consumers.
Financial Fraud Detection
Identify anomalous filings, coordinated refund schemes, and behavior patterns that signal tax evasion.
With greater than 90% accuracy in detection and by cutting the time to develop fraud models from months down to minutes, GDIT's AI identifies more than $1 billion worth of suspect claims annually for the Centers for Medicare and Medicaid Services.