Client Needs & Objectives
Use of a standard framework for AML alert management with usual filtering tools (Norkom, Actimize etc.) based on static rules and leading to many operational constraints:
- High number of false positive hits all to be manually released
- Low suspicious activity report conversion rate
- Highly labour intensive analysis tasks
Our approach
Use Big Data and Machine Learning capabilities to detect more precisely client money laundering suspicious activities and reduce volume of false positives
