The problem

Fraud often hides long after award.

Fraud, waste and abuse often goes undetected for months, sometimes years, after award.

$200b+estimated annual federal improper payments
treble damages exposure
120day typical deployment
Where fraud lives

Signals across payroll, procurement, costs, and reporting.

Ghost employees

Phantom payroll and timesheet inflation.

Double-billing

The same cost across multiple awards.

Procurement collusion

Conflicts of interest and rigged bids.

Unallowable costs

Charges that violate 2 CFR 200.

Data falsification

Manipulated performance reporting.

Lifecycle

Coverage from pre-award to closeout.

Pre-Award Risk Assessment

Applicant scoring, template-scam detection, document authenticity, COI screening.

Desktop Performance Reviews

Agentic risk scoring on live spend, predictive spend analysis, real-time variance alerts.

Final Closeout Evaluation

Auto-generated closeout, unallowable-cost identification, audit-trail package for IGs.

AI capabilities

Six capabilities, one common data model.

GenAI application triage

Prioritize risky applications early.

Agentic risk scoring

Continuous scoring across live data.

Network & process intelligence

Find hidden relationships and workflow anomalies.

Field-observation synthesis

Turn observation notes into structured signals.

Auto-generated reporting

Audit-ready packages and summaries.

Contract & invoice review

Review costs, invoices, contracts, and support.

Impact

What it changes.

30–60%reduction in undetected fraud, waste & abuse losses
faster anomaly detection vs. manual review
24×7continuous AI risk scoring

See Verity Grant on your grant programs.

Request a Verity Grant briefing