Benefits of using artificial intelligence (AI) in conjunction with or in place of traditional rules-based...

Artificial intelligence (AI) enhances transaction monitoring by complementing or improving upon traditional rules-based systems. Regulators recognize that AI can strengthen AML programs when deployed with appropriate governance and oversight.

One key benefit is the ability to identify changes in customer behavior over time. AI models analyze historical and real-time data to detect deviations from expected patterns, allowing institutions to reassess customer risk more dynamically and accurately.

AI can also generate predictive customer risk scores, helping institutions prioritize alerts and focus investigative resources on higher-risk customers and activities. This improves efficiency and effectiveness while supporting a risk-based approach.

AI is designed to reduce false positives, not increase them, and bias must be carefully managed during training through governance and data controls.