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感觉我们一直在努力平衡简化用户入驻流程和满足监管机构日益增长的要求。特别是对于处理大量相对低价值交易的平台，对每个用户进行全面人工KYC检查的成本很快就会变得过高，大家认为哪些策略是有效的？
我们正在探索更强大的自动化解决方案，但误报率和随之而来的手动审查仍然会消耗大量资源。我们总是担心会错过关键的AML危险信号，但同时，过于激进的自动化标记会造成糟糕的用户体验和流失。其他人是如何应对这种情况的，特别是考虑到不同司法管辖区的要求会影响验证所需的数据点？在这种特定情况下，某些AI/ML驱动的KYC提供商是否比其他提供商更有效？
That's a really good point. We've been looking into tiered KYC, where lighter checks are done for lower value accounts and more extensive ones for higher risk or transaction limits. It seems like a sensible middle ground, but the exact thresholds are tricky to get right.
That's a very real challenge. I've seen some success with tiered KYC, where initial low-value limits allow for a lighter touch, and higher limits trigger more in-depth verification. The key is finding that threshold that keeps most users happy while still satisfying regulatory requirements.
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