Anti-Money Laundering Risk Rating System
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Solution Overview
Problem
Financial institutions face significant burdens in monitoring transactions for illicit activities and complying with anti-money laundering regulations, as well as documenting justification for customer scrutiny and profiling, due to the complexity and scope of these tasks.
Innovation Solution
A method and system for evaluating anti-money laundering risk by calculating a risk rating based on predefined criteria related to country, financial product, and customer type, utilizing a server-based risk rating tool that allows for user input and generates reports, thereby streamlining the monitoring and compliance processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If financial institutions monitor every transaction for illicit activity, then detection capability is improved, but operational burden and resource requirements worsen
Solution Approach 1:
The patent segments the customer base into different risk profiles (high-risk, medium-risk, low-risk) based on predefined criteria such as customer type, geographic location, and product usage. This segmentation allows financial institutions to apply different monitoring intensities to different segments, improving detection capability for high-risk segments while reducing operational burden for low-risk segments.
Solution Approach 2:
The patent implements local quality by applying tailored monitoring criteria and risk assessment parameters to specific customer segments rather than using a uniform approach. High-risk customers receive enhanced scrutiny with more detailed criteria, while low-risk customers receive standard monitoring, thereby optimizing resource allocation and reducing overall operational burden.
2Productivity
If financial institutions profile particular customers for monitoring, then monitoring efficiency is improved, but basis and criteria for scrutiny become insufficient
Solution Approach 1:
The patent establishes predefined risk criteria and profiling parameters in advance, organized into categories such as customer characteristics, geographic risk factors, and product-related risks. These pre-established criteria provide a solid basis for justifying monitoring decisions while enabling efficient automated application to customer segments.
Solution Approach 2:
The patent incorporates feedback mechanisms where risk assessments and monitoring outcomes are continuously evaluated and used to refine the profiling criteria. This ensures that the basis for scrutiny remains robust and up-to-date while maintaining monitoring efficiency through automated decision-making based on established parameters.
3Reliability
If comprehensive audit trails are maintained for compliance, then regulatory compliance is improved, but documentation burden worsens
Solution Approach 1:
The patent implements self-service by automatically generating audit trail documentation through the risk assessment and monitoring system. The system automatically records risk criteria applied, customer segments identified, and monitoring decisions made, eliminating the need for manual documentation while ensuring comprehensive regulatory compliance through systematic tracking of all risk management activities.
Data Source
AI summary
A method to evaluate anti-money laundering risk may include identifying a person or other legal entity to be evaluated. A country may be selected associated with the person or other legal entity. At least one financial product or financial instrument associated with the person or other legal entity may be selected. The method may also include selecting a customer type associated with the person or other legal entity. A risk rating may be determined based on responses to predetermined criteria related to the selected country, the at least one selected financial product and the selected customer type.