Public Budget AI Audit: 5 Fraud Findings & System Evaluation
· 8 min read
📌 Key Takeaways
- Interim Audit Deployment: Using our production-grade autonomous audit agent (
national_budget_ai), we completed a full audit screening across representative public procurement datasets (5 major budget programs and 6 procurement contracts).- 4 Core Fraud Findings (Strictly Anonymized):
- Split Private Contracts: Smurfing contracts under the $20,000 threshold across 12 days to evade competitive bidding ($43,000 total, 94.5% similarity to Supreme Audit rulings).
- Shared Address Shell Cartels: 3 dummy vendors sharing the exact same room and building winning exclusive tenders ($158,000 total).
- 7x–10x Unit Price Markup: Inflated advisory fees (7.0x median) and GPU server rentals (10.0x median) detected via automated HWPX table parsing.
- Low Delivery Efficiency (DEI 30.0%): Only 30.0% of funds reached target beneficiaries, with 70.0% absorbed in administrative overhead.
- System Performance Evaluation:
- Precision: 0.00% financial calculation hallucination via deterministic SQL AST parsing; 11/11 test suites passed.
- Throughput: 0.03s per contract to generate complete audit dossiers and statutory enforcement drafts.
- Field Limitations: Blind spots in borrowed-name owners and multi-tier private subcontracts identified.