Raising the Bar of AML Detection and Investigations with Contextual Decision Intelligence


Financial institutions across the globe are facing increasing and evolving money laundering and financial crime threats. Regulators have imposed a multitude of requirements to remain compliant, yet AML detection and investigation systems often fail to effectively uncover money laundering risk and illicit activity.

A famous example of this was between 2010 and 2014 when billions of illegal dollars flowed through global financial institutions in the Russian Laundromat scheme. Opaque corporate structures and offshore tax havens allowed this criminal activity to remain undetected by AML compliance functions.

As the world becomes increasingly multi-faceted and financial criminals develop more sophisticated techniques of laundering money, it is paramount for financial institutions to invest in new and innovative AML detection and investigation technologies.

Aite released an Impact Report in collaboration with Quantexa to explore the imperative for new and emerging AML technology. The report includes recent AML compliance challenges, the changing regulatory landscape, and a case study of Standard Chartered Banking, showcasing their successful implementation of contextual decision intelligence technology.

Download the full report to find how to enhance your AML detection and investigation functions

What’s inside?

  • The key challenges obstructing effective AML risk mitigation and the AML technology imperative to overcoming them
  • An overview of regulatory developments and enforcement activity
  • Regulatory innovation around the world
  • The next-generation of AML detection technology and how contextual decision intelligence works
  • Standard Chartered Bank case study on deploying Quantexa’s platform for AML investigations
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