Mobile AML Compliance Review With Geotagged Field Verification
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Solution Overview
Problem
Existing methods for conducting compliance tests at money service business (MSB) agent locations are inefficient, prone to human subjectivity and errors, lack real-time submission capabilities, and are costly due to resource constraints, making it difficult to scale up reviews and ensure adherence to anti-money laundering (AML) and know-your-customer (KYC) regulations.
Innovation Solution
A system and method utilizing a mobile application and central server for real-time review of MSB agent locations by a third-party field task force, including digital photography, geographic coordinates, and objective questionnaires, with multiple quality checks to ensure accuracy and consistency, and automatic scoring and action triggers based on risk assessment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual compliance testing methods are used with physical visits and spreadsheets, then staff can conduct reviews, but the process becomes inefficient, costly, and difficult to scale due to resource constraints
Solution Approach 1:
The patent replaces manual mechanical processes (physical visits, paper spreadsheets, manual data entry) with an automated digital system. Field agents use mobile devices to collect compliance data electronically, which is automatically transmitted and stored in a centralized database, eliminating the need for manual data collection and spreadsheet management.
Solution Approach 2:
The system enables field agents to independently conduct compliance assessments and submit data through mobile devices without requiring manual intervention from central office staff. The automated database and reporting system handle data processing, storage, and analysis independently, reducing dependency on human resources for routine compliance tasks.
2Reliability
If compliance data is collected manually and submitted after returning to base station, then data can be recorded, but real-time monitoring and analysis are delayed
Solution Approach 1:
The system establishes continuous real-time data transmission from field agents to the centralized database. Compliance data is uploaded immediately upon collection via mobile devices, enabling uninterrupted flow of information and eliminating gaps between data collection and availability for analysis.
Solution Approach 2:
The system provides immediate feedback loops where compliance data is real-time transmitted to the centralized system, automatically analyzed, and used to generate instant reports and training recommendations. This feedback mechanism enables rapid identification of compliance issues and immediate calibration of training programs.
3Measurement precision
If evaluations are conducted by staff at agent locations, then local compliance can be assessed, but human subjectivity and potential collusion may skew results
Solution Approach 1:
The system introduces a digital mobile application and centralized database as intermediaries between field agents and the compliance assessment process. The standardized digital forms and automated data capture mechanisms eliminate direct human judgment in data collection, reducing subjectivity and collusion risks while maintaining local assessment capability.
Solution Approach 2:
The system uses standardized digital templates and forms that are consistently applied across all agent locations. These digital copies ensure uniform compliance assessment criteria are used everywhere, eliminating variations introduced by different human evaluators and ensuring consistent, objective measurements.
4Adaptability or versatility
If the number of agent and vendor locations increases, then service coverage expands, but supervisory efficiency decreases due to resource constraints
Solution Approach 1:
The centralized digital system serves multiple agent locations simultaneously through a single platform. The mobile application and database infrastructure can handle compliance data from any number of locations uniformly, allowing the supervisory system to scale without proportionally increasing human resources.
Solution Approach 2:
The system changes the scale parameter of compliance supervision by transitioning from individual manual reviews to automated digital processing. This parameter change allows the same supervisory infrastructure to efficiently manage a much larger number of agent locations by processing data electronically rather than through manual methods.
Data Source
AI summary
Systems and methods for identifying and mitigating non-compliances include determining an agent location of a money service business for review, obtaining a photograph and geographic coordinates of the agent location, and collecting field data at the agent location through a mobile application. Such information are sent from the mobile application to a central server of a third party vendor for a series of quality checks and stored at the central server. Such information may be used for further corrective action against the agent location reviewed.