Organizations detect new anomalies and frauds while reducing false positives and effort through anomaly detection machine learning capabilities of Wipro HOLMES. Anomalies such as excess or duplicate payments, possible maker-checker collusion, payments to shell vendors, suspicious vendor invoices, etc. can be identified and flagged. Our anomaly detection machine learning solution can be quickly deployed through the pre-built Procure to Pay module, while easily integrating with ERP system and Business Intelligence systems. It also offers the option of Cloud deployment and is complemented with Business Process Services investigation support. HOLMES provides savings in accounts payable, reduces cycle time by straight-through processing of clean transactions, minimizes operational risk and mitigates risks to reputation.