An analysis argues that Nigerian banks should adopt AI-native anti-money laundering systems rather than merely automated ones, following the Central Bank of Nigeria's directive to move from manual, batch-based controls. The piece highlights the limitations of traditional automation in detecting sophisticated financial crimes. It suggests that AI-native approaches offer more dynamic and effective monitoring capabilities.
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