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ICICI Bank Reduces Fraud by 85% with AI
How India's leading private bank leveraged our ML models to dramatically reduce fraudulent transactions and save ₹350 crores annually.
Client
ICICI Bank
Location
Mumbai, India
Duration
6 months
Team Size
12 experts
85%
Fraud Reduction
₹350Cr
Annual Savings
6 months
Time to ROI
60%
Fewer False Positives
The Challenge
ICICI Bank was losing millions annually to fraudulent transactions. Their existing rule-based system generated too many false positives, frustrating legitimate customers while still missing sophisticated fraud patterns.
Our Solution
- Real-time transaction scoring with ensemble ML models
- Behavioral analytics to detect anomalous patterns
- Network analysis to identify fraud rings
- Adaptive learning system that improves over time
The Results
Within six months, the bank saw dramatic improvements across all metrics. Fraud losses dropped by 85%, while false positive rates decreased by 60%, significantly improving the customer experience. The system now processes millions of transactions daily, saving the bank over ₹350Cr annually.