AML alerts management

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

Client Benefits & Main Results

  • Improved operational efficiency on Business As Usual tasks by reducing time spent on manual analyses and release of obvious false positive hits

  • Enhanced and secured AML alert management framework robustness by replacing static rule-based scenarios with patterns and behavioral client transactions detection algorithm

  • Managed more efficiently and timely alerts backlog

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After 13 years of a wonderful journey, alongside talented colleagues and valued clients, it is time for Chappuis Halder & Co. to begin a new adventure as Capgemini Invent.


As thinkers and doers, we have supported clients around the world and have consistently invested in expertise to provide thought leadership and deliver impactful projects related to Finance, Risk and Compliance ESG, Business development and Organization transformation, Data, Tech, and Cybersecurity.


Joining forces with Capgemini Invent presents an extraordinary opportunity to accelerate and go above and beyond as a global team to “Seize the full potential of financial services”.

Our journey continues as