How AI and Machine Learning are Revolutionising AML
Anti-money laundering (AML) efforts have been pivotal in the global fight against financial crime. Historically, AML practices have depended heavily on manual reviews and rule based monitoring systems. These traditional methods are accurate but often inconvenient and slow, struggling to keep up with the sophisticated techniques used by modern financial criminals. Moreover, they are prone to human error and can lead to significant operational bottlenecks, making it challenging to effectively manage the vast amounts of data that financial institutions handle daily.









