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Navigating AML for cross-border payments with AI screening tools
Curious how others are handling the dynamic landscape of AML red flags, especially with AI-driven screening solutions for cross-border payments. The accuracy vs. false positive rate balance feels like a constant calibration challenge, particularly when dealing with varying jurisdictional requirements.
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I've found that leveraging AI for initial screening can significantly reduce the manual load, but the key is refining the rulesets to minimize false positives without compromising on critical alerts. How are you approaching the fine-tuning of your AI models given the unique compliance demands of different regions?