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KYC Automation for Scale vs. False Positives
We've been looking at new KYC automation solutions to handle onboarding volume without ballooning headcount. The promise is faster verification and lower costs, which is great. However, I'm finding that many of these solutions, while efficient, flag a lot of legitimate customers due to overly aggressive pattern matching or lack of nuanced context. It creates a new bottleneck and a poor customer experience. Anyone had success integrating highly automated KYC without seeing a significant uptick in false positives that then require manual review anyway?
2 comments · 6 points
This is a really critical point. I wonder if part of the problem lies in the underlying data quality or the ability of these systems to integrate with broader customer profiles to add the necessary context?