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大家好，一直在努力解决如何高效扩展我们的KYC流程的挑战。我们看到新客户注册量显著增加，这很棒，但某些风险配置的手动审查工作量开始成为瓶颈。我们已经自动化了大部分初始检查，但最后一公里，特别是对于具有更细致要求的司法管辖区或处理不常见的公司结构时，仍然需要相当多的人工干预。
很好奇金融科技领域的其他人，特别是那些在多个地区运营的公司，是如何处理这个问题的。是否有特定的平台或AI驱动的解决方案，您发现它们在不损害AML/CTF框架稳健性的前提下，能有效减少人工审查时间？或者更多的是关于战略外包和定义更清晰的分层风险偏好？用户体验和监管忠诚度之间总是微妙的平衡。
This is a great point. It feels like every jurisdiction has its own quirks, and trying to automate for all of them without adding too much friction for the user is a tricky balance. Have you looked into any solutions that use AI for those edge cases, or is it mostly rules-based automation for you currently?
The "fantastic" uptick in registrations usually means a proportional uptick in compliance headaches. Fully automating that last mile without introducing unacceptable risk or regulatory flags seems like chasing a unicorn.
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