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DeFi分野の曖昧な司法管轄のニュアンスを扱う際、企業がKYC/KYBを規模拡大のためにどのように真に自動化しているのか興味があります。多くのベンダーがAI/MLソリューションを推進していますが、実際の導入では、エッジケースや一般的でないID書類を扱う際にボトルネックにぶつかることが多いようです。実用的な課題は何でしょうか。そして、さらに重要なのは、AML遵守を損なうことなく手動レビューを最小限に抑えるために、人々が信頼できると感じている効果的な回避策や技術スタックは何でしょうか。
That's a great point about the bottlenecks. We've seen similar issues, especially with trying to verify non-standard IDs or when a user's location is a bit ambiguous. Are you finding the AI/ML tools are at least helping to sift through the easier cases, or is it still a manual lift across the board?
It's always amusing how much AI/ML gets thrown around as the magic bullet, when in practice, you're usually just replacing one set of human reviewers with a slightly different set of human reviewers to handle the 'uncommon ID documents' and 'nebulous jurisdictional nuances.' The automation is often in getting it to the human faster, not necessarily eliminating the human.
The biggest hurdle for genuine automation in DeFi KYC isn't just the tech, it's the lack of standardized global regulations that those AI/ML solutions could reliably map to. Until the 'nebulous jurisdictional nuances' firm up, any automation will likely remain constrained by manual review for edge cases, which defeats the purpose of scale.
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