Combatting money laundering is a key challenge for the financial services industry. Current anti-money laundering (AML) compliance processes are dominated by high levels of manual, repetitive, data-intensive tasks that are inefficient at disrupting money laundering activity.

Given the low impact of current AML efforts, combined with the increasing complexity of threats and growing volume of data to analyse, now is the time to explore the capabilities of artificial intelligence (AI),1 which has the potential to enable a step change in AML capability and provide a means to scale and adapt to the modern threat of money laundering.
Despite this potential, the increasing awareness and number of AI applications has ignited debate on [...]