AI-Driven Financial Fraud & Anomaly Detection for Government Agencies 

Empower your agency with AI-driven anomaly detection that stops fraud, strengthens oversight, and ensures compliance with state and federal mandates.

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The Challenge: Combating Fraud, Waste, and Abuse in the Public Sector

Government agencies lose billions of taxpayer dollars each year to fraud, waste, abuse, and improper payments.

Traditional audits and manual reviews can’t keep pace with the speed, scale, and sophistication of today’s fraud schemes.

Legacy tools often produce high false positives, miss cross-system anomalies, and fail to provide the transparency required for statutory compliance. As a result, oversight teams are left overextended, struggling to identify risks in time to prevent financial loss or reputational damage.

Agencies need a solution that is:

Accurate enough to detect subtle patterns and complex schemes.

Explainable so every flagged anomaly can withstand audit and investigative scrutiny.

Scalable to handle diverse data sources and growing oversight demands.

Compliance-First to align with federal and state mandates from day one.This is where nForce AI comes in.

Our Solution

nForce AI delivers a compliance-first, explainable anomaly detection platform designed specifically for government oversight.

Data Integration at Scale – Aggregate and normalize data across core state systems (MFMP, FLAIR/PALM, FACTS, VIP, STMS, SunBiz, PCard) and enrich with federal, public, and commercial datasets.

Business Rule Automation – Detect misclassification, duplicate payments, change orders, vendor preference, and conflicts of interest.

Fraud Indicators – Identify high-risk vendors, sanctioned entities, and outlier transactions using layered commerce and transaction data.

Explainable AI – Combine red flag detection with supervised learning (feedback loops to reduce false positives) and unsupervised learning (uncover hidden schemes).

Human-in-the-Loop – Ensure every anomaly is validated by SMEs and auditors, producing results that are transparent, actionable, and audit-ready.

What We Solve

Fraud can take many forms—unauthorized transactions, data breaches, account takeovers, tax evasion, financial crimes, and more. Traditional fraud prevention methods often react too late, allowing financial losses and reputational damage to occur. Our solution addresses:

Transaction Fraud

Detect unauthorized payments, account takeovers, and payment anomalies in real time.

Tax Evasion

Identify underreported income, fraudulent deductions, and shell company tax schemes.

Anomalous Patterns

Uncover hidden fraud by analyzing suspicious behavior and unusual financial activity.

Financial Fraud

Flag money laundering, procurement fraud, and misappropriation of government funds.

How It Works

Traditional fraud detection struggles with incomplete data, false positives, and AI hallucinations that can mislead investigations. nForce AI solves these challenges with Better Retrieval-Augmented Generation (BRAG)—a next-generation AI framework that ensures real-time, data-driven, and highly accurate fraud prevention.

BRAG Enhances Every Layer of Fraud Detection:

  • Hallucination-Free Intelligence: BRAG validates every AI-generated insight against verified, structured knowledge—eliminating false alerts and unreliable data.
  • Real-Time Anomaly Detection: Continuous data retrieval and instant fraud monitoring allow agencies to flag unusual activity within milliseconds.
  • Advanced Behavioral Analysis: BRAG maps relationships and behaviors across multiple data sources, detecting subtle deviations and hidden fraud patterns.
  • Adaptive Learning & Dynamic Risk Assessment: Unlike traditional models, BRAG continuously evolves with new fraud tactics, minimizing false positives and improving accuracy over time.
  • Actionable, Trustworthy Alerts: Our AI doesn’t just flag risks—it provides clear, explainable alerts with automated workflows to accelerate investigations and prevent fraud before it escalates.

By embedding BRAG into nForce AI’s fraud detection system, agencies gain an intelligent, self-improving, and highly secure solution that stays ahead of fraudsters—without the inefficiencies of traditional AI models.

Let's work together

Learn how we can help identify and prevent fraud in real time, ensuring compliance and securing government funds.

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Financial Fraud and AI Anomaly Detection in Action

nForce AI provides advanced, real-time fraud detection by leveraging AI-driven intelligence, structured data retrieval, and continuous monitoring to help government agencies detect, prevent, and mitigate financial crime with precision.

Trade-Based Money Laundering (TBML)

Identifies fraudulent trade transactions by analyzing pricing discrepancies, shipment weights, and bill of lading anomalies in real time.

Tax & Revenue Fraud Protection

Identifies tax underreporting, fraudulent deductions, and shell company activity by analyzing structured tax data and financial records.

Customs & Tariff Evasion Prevention

Detects undervalued shipments, misclassified goods, and false invoicing schemes by cross-referencing trade and customs records.

Sanctions & Illicit Fund Flow Monitoring

Continuously scans global transactions against sanctions lists and high-risk entities, ensuring 100% compliance and eliminating false positives.

Foreign Corruption & Cross-Border Financial Crimes

Analyzes global financial networks to identify suspicious offshore transactions, money laundering, and high-risk financial entities.

Grant & Subsidy Fraud Prevention

Detects fraudulent grant applications, misallocation of funds, and non-compliance by verifying applicant data, financial records, and reported expenditures.

375m

U.S. Treasury Enhanced Fraud Detection Process Using AI Recovers $375M in Fiscal Year 2023.

treasury.gov

385%

Check fraud has surged by 385% since the pandemic.

treasury.gov

680k

Suspicious Activity Reports (SARs) to FinCEN to report potential check fraud in 2022.

treasury.gov

RESOURCE
How AI and Big Data Analytics Are Transforming Tax Compliance
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CASE STUDY
Case Study: Leveraging Big Data Analytics and AI to Combat the Tax Gap

How nForce identified approximately $42 million in quickly collectible unremitted sales tax dollars for the 36 months across only two NAICS codes.

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