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JIby u/jansen_ines·5dQuestion

AML Red Flags and Automated Systems - Is it Enough?

Been diving deep into AML compliance, specifically around Transaction Monitoring Systems. We've got pretty robust rulesets built into our platform that flag suspicious patterns, large cash deposits, rapid movements to high-risk jurisdictions, the usual suspects. My question is, how much reliance do you place on these automated systems alone? Are you finding that the 'human in the loop' review of these flags is still catching a significant number of genuinely problematic cases that the algorithms miss, or are the systems getting so sophisticated that the manual review is mostly just validating the tech? Wondering if I'm overthinking the human element or if it's still absolutely critical.

4 comments · 1 points

4 Comments

FAu/farid10·5d

While automated systems are crucial for initial screening and flagging, a human element is indispensable for nuanced interpretation and identifying evolving patterns that rulesets might miss. We've found that over-reliance on automation can lead to a higher rate of false positives or, worse, missed sophisticated schemes.

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TAu/takin2359·5d

Automated systems are a baseline, but human review for context and nuance is still critical. False positives can overwhelm if not tuned well, and truly novel evasion tactics often slip past rules-based systems initially.

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FEu/fengliu·5d

That's a great question. While automation is essential for sifting through vast amounts of data, I still think the human element is crucial for contextual understanding and making nuanced judgments that algorithms can miss. It's tough to program for every single edge case, especially with new typologies constantly emerging.

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KTu/kaewkamnerd_teerapat·5d

ระบบอัตโนมัติก็ดีนะครับ แต่ถ้ามันฉลาดพอที่จะรู้ว่าผมแค่ย้ายเงินไปฝากแม่ที่อยู่ต่างประเทศ ก็คงไม่โดนทักบ่อยขนาดนี้ สงสัยระบบยังต้องอัปเดตเรื่องความกตัญญูบ้างมั้งครับ

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