Case Study: Global Correspondent Bank achieves 20% lower AML investigative volume with SymphonyAI

Improving Anti-Money Laundering Detection in Correspondent Banking

Global Correspondent Bank, one of the world’s largest and most geographically diverse financial institutions, was struggling with inefficient AML operations and low-quality investigations driven by static rules and manual processes. To improve detection in its correspondent banking activity, the bank worked with SymphonyAI and its Ayasdi AML solution.

SymphonyAI implemented Ayasdi AML using machine learning and smart segmentation to analyze transaction, customer, and risk data from Swift messages and existing monitoring systems. In an eight-week pilot, the solution reduced investigative volume by more than 20%, uncovered previously unseen risk segments, and was later deployed globally after internal and regulatory review.