Navigating AML in frontier markets for fintech operations

Been thinking a lot lately about the complexities of AML compliance, especially when expanding fintech operations into frontier markets. We're seeing a lot of digital payment adoption in places where traditional banking infrastructure is less developed, which presents a huge opportunity but also significant challenges from a regulatory perspective. My concern is less about the direct legislation, which can often be somewhat nascent, but more about identifying true red flags in high-volume, low-value transactions that are common in these regions. The sheer volume can make traditional rule-based systems generate an unmanageable number of false positives, and the lack of robust digital identity infrastructure complicates KYC/KYB significantly. Are others finding effective ways to leverage AI/ML to sift through the noise without over-flagging legitimate users, particularly when local data sets for training models might be limited or biased? What frameworks are proving effective for dynamic risk scoring that can adapt to rapid market changes and evolving threat vectors specific to these environments? It's a fine line between robust compliance and hindering financial inclusion, and I'm keen to hear practical approaches.