AML Transaction Monitoring Software - Powered by AI

Feedzai’s AML TM solution provides extensive out-of-the-box (OOTB) detection rules covering a wide range of typologies and potential money laundering scenarios, complemented by self-service custom rule creation. The solution then assesses the overall risk of the suspicious behavior at the customer and account level leveraging a machine learning alert prioritization model for efficient AML efforts.

Feedzai’s AML TM solution includes a comprehensive rule library grouped into over 20 out-of-the-box scenarios, each designed to detect specific suspicious activity typologies and meet regulatory compliance requirements, including:
– Rapid Movement of Funds
– Large Significant Transactions
– Avoidance of Reporting Thresholds
– Transactions Involving High-Risk Customers
– Transactions Involving High-Risk Counterparty
– High-Risk Merchant Monitoring
– Behavioral Changes
– Activity in Dormant Account

The solution uses a machine learning model optimized for alert prioritization, learning from past alert labels, case investigations, and SARs to assess risk. Alerts triggered by scenarios are scored by the model, which assigns a priority level automatically. This helps AML teams focus on high-risk alerts and streamlines overall compliance operations.

Feedzai’s efficient Case Manager and intelligent automation capabilities facilitate optimized investigation and remediation processes, requiring fewer clicks per task. This ability empowers AML analysts to perform their work quickly and effectively without compromising compliance standards.

Feedzai’s built-in SAR Manager feature supports the automated generation and electronic filing of SARs, STRs, and other essential compliance reports. It maps a common template to country-specific regulator formats, ensuring compliance and filing efficiency. Out-of-the-box templates are available for the US, Brazil, UK, France, Germany, Lithuania, Malaysia, and South Africa.