Forensic Financial Intelligence
AuditPilot is a forensic accounting platform that detects earnings manipulation in corporate financial statements. It applies Benford's Law, the Beneish M-Score (8-variable model), 30 financial ratios, and 15 red-flag indicators to produce a comprehensive fraud risk assessment. All core analysis runs client-side — no backend required.
| Landing | Dashboard (Enron) |
|---|---|
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| Benford's Law | Financial Ratios |
|---|---|
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| Fraud Risk Assessment | Dashboard (Apple — Clean) |
|---|---|
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- Benford's Law Analysis — First-digit frequency test with chi-squared significance testing
- Beneish M-Score — 8-variable model for detecting earnings manipulation (DSRI, GMI, AQI, SGI, DEPI, SGAI, TATA, LVGI)
- 30 Financial Ratios — Liquidity, profitability, leverage, efficiency, and quality metrics with sector benchmarks and sparkline trends
- 15 Red Flag Indicators — Automated detection of revenue/cash flow divergence, accruals anomalies, DSO spikes, and more
- AI Audit Report — LLM-generated forensic audit memo via OpenRouter
- Trend Analysis — Multi-metric normalized timeline with statistical outlier detection
- Pre-loaded Case Studies — Enron (1997-2001), Apple (2019-2023), WorldCom (1999-2002)
- CSV Upload — Analyze any company with custom financial data
- Framework: Next.js 14 (App Router)
- Language: TypeScript
- Styling: Tailwind CSS v4
- Charts: Recharts
- Statistics: jStat (chi-squared distribution)
- AI: OpenRouter API (Claude)
- Icons: Lucide React
git clone https://github.com/NWichter/auditpilot.git
cd auditpilot
npm install
npm run devOpen http://localhost:3000 and select Enron Corporation to see the fraud detection in action.
Live Demo: auditpilot.sorevo.de
Create a .env.local file for the optional AI report feature:
OPENROUTER_API_KEY=your_key_hereAll core analysis (Benford, Beneish, Ratios, Red Flags) works without an API key. The AI report feature requires an OpenRouter key.
MIT
Built for the Octoverse Hackathon 2026