kyc-rules

You can automate KYC and AML risk assessment by applying a predefined rules grid to structured applicant data, which assigns a risk rating and flags triggered outcomes. This requires providing both the rule definitions and the parsed applicant data as input.

A KYC/AML rule engine is a system that systematically applies compliance rules to structured applicant data during onboarding. It evaluates the applicant profile against a rules grid to calculate a risk rating, identify triggered rules, and determine required documentation.

Yes, the KYC onboarding risk evaluation process checks for missing required documents based on the applicant type and assigned risk rating. It ensures all necessary documentation is present and flags missing information for review.

To apply a KYC rules grid, input the structured applicant data alongside the rule definitions. The system evaluates the data against the rules, identifying risk ratings, rule outcomes, and specific escalation triggers based on the predefined criteria.

Yes, the KYC risk assessment process cites the specific rule triggered and provides the evidence that drove the outcome. This ensures transparency by linking each rule application directly to the underlying applicant data.

To run AML rule application, you need to provide structured applicant data and predefined rule definitions as input. The system uses these inputs to evaluate the onboarding record, assign a risk rating, and flag missing information or triggered rules.