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AI FOR FRAUD, WASTE AND ABUSE

Uncover fraud in seconds.

saved annually for the federal government
million claims processed daily
machine learning model deployed for CMS

When the risk is real, speed matters.

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Anomaly Detection at Scale

Uncover fraud, errors, and emerging risks by scanning millions of records for patterns and outliers invisible in manual review.
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Automated Case Triage

Prioritize what matters most by scoring incoming data – claims, reports, research – so analysis can focus on the highest impact cases.
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Entity Linkage

Expose hidden relationships across people, organizations, and programs by connecting fragmented data sources in real-time.
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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.

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.

CASE STUDY

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.

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Ready to see how our AI FWA solution stops fraud before it spreads?

Connect with our experts to explore tailored solutions for your agency.