Protecting financial institutions from systematic crimes
Kompligro is an AI-driven AML solution that sharpens the financial institutions’ detection systems.
Keep a close eye on customer’s financial activities with our transaction monitoring system. We help you to take faster decisions on suspicious high-risk activities and fight fraud while staying compliant.
Our AML solution is a configurable, end-to-end solution developed to handle enormous volumes of data, screen transactions, uncover layered patterns, and eliminate false positives. The solution utilizes advanced technologies including machine learning, cognitive analysis, robotic process automation, and artificial intelligence to provide a 360° view of the customer and generate Financial Crime Reports
Key Features
Sophisticated Rules Engine
Real-time and scalable rules engine empowers banks in accurately verifying onboarding applications, detecting transaction legitimacy, and processing large batches of data concurrently. The institutions can customize decisions based on actionable rules and rule performance monitoring.
Relationship Network Diagram
AI-based Relationship Network Diagram allows banks to map with precision the connections between correspondents with accounts, and transactions, and determine suspicious financial activities to flag them for investigation.
Adaptive Behavioural Profiling
A combination of AI/ML-powered models with cognitive analysis empowers the bank to monitor a customer’s behaviour accurately by drawing inferences from historical patterns of his transactions.
Pattern Recognition & AMP Anomalies
Helps in reading and recognizing patterns for their peculiarities and anomalies so that fraudulent activities can be identified and accurate reports can be generated by minimizing false positives.
BENEFITS
Speed Up AML Detections
By automating major chunks of the process, the solution reduces the time and effort spent on data gathering, prioritizes the highest risk alerts. This investigation and decision-making is fast- tracked through better insight into customer behaviour.
Improve Quality of Alerts
Integrating data across accounts, transactions and correspondence mitigates efficient detection system challenges like fragmented and multi-location data. The accurate data processing facilitates reliable reporting, reducing the probability of false positives by a great degree.
Reduce Operational Costs
Banks need not hoard human resources to deal with vast data volumes thanks to automation and machine learning mechanisms. The solution also saves time and effort on rework as human biases are removed from the processes.
Boost Overall Productivity
Comprehensive data gathering and processing results in elimination of time-consuming activities such as data entry and retracing investigation steps. Further, better data insights and reduced number of false positives allows analysts to focus on highest risk instances.