Procurement Fraud Detection Agent
Monitors purchase orders, invoices, and supplier records for anomaly patterns indicative of fraud, such as duplicate payments, shell suppliers, or split purchases evading approval limits.
Procurement fraud, including invoice manipulation, fictitious suppliers, kickback schemes, and purchase splitting to avoid approval thresholds, is difficult to detect manually because audit teams sample only a small fraction of transactions and fraud patterns are often deliberately structured to look routine
By the time fraud is discovered through an annual audit or whistleblower report, losses have often accumulated over months or years
This agent continuously monitors 100% of procurement transactions rather than a sample, applying pattern detection to flag anomalies such as suppliers sharing bank details or addresses with employees, invoices just below approval thresholds submitted repeatedly by the same requester, and duplicate payments across slightly altered invoice numbers
It scores each flagged case by risk severity and routes high-confidence cases directly to internal audit for investigation, dramatically shrinking the detection window
The agent runs continuously against live procurement and payment transaction feeds, cross-referencing purchase orders, invoices, supplier master records, and employee data using rule-based checks combined with LLM-based anomaly reasoning to interpret ambiguous patterns that rigid rules alone would miss. It checks for known fraud indicators including split purchase patterns, supplier-employee data overlaps, duplicate or near-duplicate invoices, and unusual approval velocity, then assigns each anomaly a risk score and generates a case summary with supporting evidence for cases above the review threshold, which are routed to internal audit or compliance teams.
Ingest Transaction and Master Data
- Stream purchase order, invoice, and payment data continuously
- Pull supplier master records including banking and address details
- Cross-reference employee master data for conflict-of-interest checks
- Maintain a rolling window of transaction history for pattern comparison
Detect Anomaly Patterns
- Flag purchases split to fall just under approval thresholds
- Identify supplier records sharing bank accounts or addresses with employees
- Detect duplicate or near-duplicate invoice submissions
- Surface unusual approval velocity or after-hours transaction activity
Score and Prioritize Cases
- Assign a risk severity score to each flagged anomaly
- Consolidate related anomalies into a single investigation case
- Rank cases by financial exposure and confidence level
- Filter out low-confidence flags to reduce false positives
Route to Investigation and Track Resolution
- Package case evidence into an audit-ready summary
- Route high-severity cases to internal audit or compliance
- Track investigation status and outcome
- Feed confirmed fraud patterns back into detection rules