Many financial institutions (FIs) struggle to run efficient anti-money laundering (AML) investigations – so the percentage of detected and successfully prosecuted cases is often disappointing. This is due to both the general difficulty of identifying high-risk activities as well as traditional rules-based, reactive approaches to AML.
This tick-the-box approach promotes inefficient use of resources and leads to less-than-optimal results in a changing business landscape. To detect crime risks proactively and achieve the best possible outcomes, FIs should consider a nimble and holistic risk-based strategy.
Read on to discover a 5-step framework designed to help you get started.