KYC onboarding is where compliance meets customer experience, and it’s usually where both suffer. Manual review queues add days to account opening; blanket rules either wave through risk or bury analysts in low-value alerts.
Risk-based automation fixes the trade-off — if you can do it without shipping identity documents to a third party.
Start with data quality
A risk model is only as good as the fields feeding it. Before scoring anyone, profile your onboarding sources: fill rates, missing values, outliers, inconsistent formats. KeplerAI’s data profiling runs this inside your environment and surfaces per-field KPIs the modeling agent can reason about.
Score at the point of onboarding
With clean inputs, a model trained on your own historical outcomes assigns each applicant a risk rating. Low-risk customers pass straight through; higher-risk ones route to enhanced due diligence. Because scoring runs in your data plane, identity data never leaves — only the risk rating and its explanation surface in the control plane.
Connect it to screening
Onboarding shouldn’t stop at a score. Every new customer should also be checked against sanctions and PEP lists. KeplerAI pairs risk rating with sanctions and PEP screening so a new account is assessed end to end before it goes live.
Keep it explainable
Regulators expect to understand why a customer was rated the way they were. SHAP explanations make each rating defensible, the same way they do for credit scoring.
The result is faster onboarding, fewer false alerts, and a due-diligence process that stands up to audit — with identity data that never leaves your walls. See it on the KYC solution page.