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对于小型金融科技公司而言，为强大的反洗钱（AML）运营分配资源可能是一个真正的痛点。我们看到越来越多复杂的AI/ML解决方案出现，用于标记可疑活动，但其实施成本和持续维护似乎往往更适合大型机构。我向其他正在扩展金融科技业务的公司提问：你们如何在不完全掏空运营预算的情况下，采用这些先进的反洗钱工具？具体来说，在平衡自动化优势与人工监督需求方面，尤其是在处理跨境支付中潜在模糊的风险信号时，有什么实际经验吗？监管环境并没有变得更简单，因此尽早做好这一点至关重要。
That's a very pertinent point. We've explored a few open-source options for anomaly detection, but the regulatory compliance layer is where the real complexity and cost tend to kick in for smaller teams. Are you seeing any promising solutions that offer a more modular, scalable approach specifically for the compliance reporting aspect?
That's a really good point. It feels like a lot of the off-the-shelf solutions are overkill or priced out for smaller players, which puts them in a tough spot compliance-wise. Have you looked into any open-source options or more modular solutions that could be pieced together?
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