By integrating advanced machine learning models with a centralized data foundation, Coforge enabled intelligent, real-time fraud detection and sanctions screening. The solution improved detection precision, reduced operational inefficiencies, and strengthened the bank’s ability to proactively identify and mitigate financial crime risks.
Transformation Timeline
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The Challenge
The bank needed to enhance its regional fraud detection capabilities while modernizing legacy monitoring systems that lacked real-time processing and advanced analytics. Existing solutions struggled to detect complex fraud patterns, particularly in cross-border transactions, and generated high volumes of false positives.
Additionally, fragmented data across systems limited the ability to analyze behavioral patterns effectively. The absence of a unified data foundation and real-time data capture further impacted detection accuracy and response times.
The organization required a scalable, intelligent solution capable of integrating diverse data sources, enabling real-time monitoring, and improving both detection coverage and operational efficiency.
Our Approach
FICO Falcon-Based ML Models
Developed and deployed advanced fraud detection models on the FICO Falcon platform, tailored to cross-border transaction typologies.
Behavioral Analytics Engine
Enabled deep behavioral analysis across sender-recipient interactions, transaction frequency, and channel usage to identify anomalies and fraud patterns.
Centralized Data Integration
Integrated the solution with a centralized data vault to consolidate transactional and behavioral data for a unified view.
Real-Time Monitoring & Detection
Enabled near real-time data ingestion and processing to support timely and accurate fraud detection and sanctions screening.
Enhanced Investigation Workflows
Optimized alert-to-investigation feedback loops to improve detection precision and investigator productivity.
Partner / Technology Ecosystem
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FICO Falcon Platform
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Centralized Data Vault
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Machine Learning & Analytics Frameworks

Impact to Date
-35%
+25%
+40%
Improved
Business Impact
- Enhanced fraud detection accuracy through advanced behavioral analytics
- Reduced operational overhead with fewer false positives and smarter prioritization
- Improved response times with near real-time transaction monitoring
- Strengthened financial crime risk management across regions and currencies
- Enabled scalable, future-ready fraud detection platform
