This guide explores how AI is transforming anti-money laundering (AML) in 2025. While traditional AML processes rely heavily on rules-based detection and manual investigations—leading to high false positives—AI introduces powerful enhancements. Generative AI, predictive AI, and agentic AI enable institutions to detect hidden risks, prioritize alerts, and streamline workflows. Despite growing AI adoption, many banks still lack a full understanding of the tools they use. The guide emphasizes AI’s potential to automate complex investigations and boost effectiveness, all while aligning with regulatory expectations.

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