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Success Story

Transforming Fraud Detection

Achieving 83% Reduction in False Positives and 85% Fewer Fraud Claims with AI-Powered Solutions

Client Background

A large, multinational financial institution with significant operations and investments spanning North America, Europe, Asia, and Latin America. The client required an intelligence-driven solution to unify physical and digital identity insights, providing a comprehensive, real-time view for its customers.

Client Need

The client faced an urgent need to design and implement a robust fraud management platform that could deliver real-time consumer identity analytics, authentication, and investigative insights. Their primary challenges included:
Difficulty in detecting and mitigating sophisticated fraudulent transactions in real time
Challenges in streamlining the account-opening process without compromising security
Issues with customer friction during the authentication process, impacting user experience
Struggles with staying ahead of emerging fraud tactics in a rapidly evolving landscape
Risk of reputational damage due to fraud-related losses impacting brand integrity and customer trust

Solution

Our experts delivered a cutting-edge fraud intelligence platform, leveraging the powerful capabilities of Google Cloud Platform (GCP) and Vertex AI. Key elements of the solution included:
Custom Rule & Model Development: Tailored ML models and rules
Seamless Integration: Managed ML models on-demand, integrated with BigQuery and other GCP services
Advanced Feature Store: Leveraged Vertex AI's feature store for real-time data insights
User-Friendly Interface: Built a custom Angular-based front-end, connecting to Vertex AI API, Data Pipeline, and BigQuery for instantaneous predictions and actionable insights

Realized Benefits

The implemented solution drove transformative results.
Real-time identification and prevention of fraudulent transactions
83% reduction in false positives, enabling more efficient fraud detection
90% reduction in time spent on fraud management processes
85% reduction in fraud claims, significantly lowering financial and reputational risks
Ability to identify new fraud patterns, staying ahead of emerging threats

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