Mitigating financial crime

Background

A US asset manager faced escalating challenges associated with detecting and preventing financial crime. The rise in sophisticated fraud techniques and the evolving landscape of financial crimes necessitated a cutting-edge solution. They decided to leverage Generative AI to bolster its anti-fraud measures and enhance its ability to identify and combat financial crimes.

Solution

VenusGeo developed and implemented Generative AI based solution to tackle this financial crime. Our solution highlights include

  • Developed advanced machine learning models utilizing Generative AI to analyze vast amounts of transactional and customer data.
  • Trained the AI to identify patterns indicative of fraudulent activities, adapting to evolving tactics over time.
  • Implemented behavioral analytics to create profiles of normal customer behavior, allowing the AI to detect deviations and anomalies.
  • Established a real-time monitoring system that continuously analyzed transactions, customer interactions, and external data sources for potential signs of financial crime.
  • Integrated the AI system with an alert prioritization mechanism to focus investigative efforts on high-risk cases, reducing false positives and improving operational efficiency.

Results

  • The Generative AI models demonstrated a higher accuracy in identifying unusual patterns and potential financial crimes, reducing false positives.
  • • The alert prioritization system streamlined the investigative process, allowing the team to focus on high-priority cases and respond promptly.