The main selling point is a marked reduction in false positives compared with legacy rules-based systems. Those older systems typically flag vast numbers of transactions that are actually legitimate, wasting analysts' time and draining budget. Review collected by and hosted on G2.com.
Model-driven AML systems carry real implementation risk. They require clean, well-integrated data to perform effectively, and banks with fragmented or messy legacy data may struggle to realize full value without substantial upfront effort. Review collected by and hosted on G2.com.
