Anti-money laundering (AML)

Anti-money laundering (AML) compliance is one of the most costly and challenging issues facing the industry today. We’re working with our community to identify risks, strengthen procedures and improve efficiency.

Anti-money laundering (AML) and the role of technology

Anti-money laundering (AML) technology

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Despite the challenges, developments in technology could make transaction monitoring and screening programmes much more effective.

According to AML experts, analysts spend as much as 80% of their time finding data instead of fixing problems – so there’s plenty of scope for new solutions to speed up the information gathering process. Progress is being made in the use of technologies like advanced analytics, AI and machine learning. Focus is also on using technology to verify identity, analyse behaviour patterns and expedite KYC onboarding.

Compliance analytics
Last update: 
29 September 2017

Overcoming AML challenges in correspondent banking

Advanced data analytics plays critical role in supporting compliance and enhancing transparency
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  • Compliance Info Papers
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With machine learning, the system learns where the analyst goes to grab information and then does it for them – so analysts can then spend 80% of their time analysing that information instead of 20%.

-  Head of FCC Americas, Global Bank

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