Transforming AML Investigation with AI: Righting the Automation Imbalance in Compliance Operations
Anti-money laundering (AML) compliance has become a significant operational challenge that legacy technology alone cannot solve. Artificial intelligence (AI) technologies can reduce the burden and strengthen compliance by increasing efficiency, enhancing accuracy, and improving consistency in AML operations.
Automated upstream systems generate large numbers of alerts—dominated by false positive alerts—that human analysts must carefully review and decision. This has driven financial institutions to build up armies of investigators, driving AML costs skyward.
Throwing bodies at the false positives problem is not a sustainable solution. Fortunately, artificial intelligence (AI) technologies are now available that can automate much of the compliance investigation workflow typically performed by humans. This frees up analysts to focus on value-added investigation instead of routine, labor-intensive tasks.