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Financial Services
Real-Time Fraud Detection at 95% Accuracy
How a leading digital bank transformed fraud detection with AI, reducing losses by $28M annually.
Client: Major Digital BankDuration: 4 months
95%
Detection Accuracy
$28M
Annual Savings
87%
Fewer False Positives
<45ms
Response Time
The Challenge
The bank was losing $32M annually to fraud with a 28% false positive rate. Traditional rule-based systems couldn't keep up with evolving fraud patterns, causing customer frustration and account closures.
Our Solution
We deployed a lattice-based fraud detection system combining Graph Neural Networks, ensemble ML models, and real-time feature engineering—all with explainable AI for regulatory compliance.
Key Results
Reduced fraud losses from $32M to $4M annually
False positive rate dropped from 28% to 3.6%
Processing 4.5M transactions daily with 99.97% uptime
Mean time to detect fraud reduced from 3.2 days to 12 minutes
Tech Stack
PyTorchXGBoostKafkaKubernetesRedis
"The Deep Lattice team delivered a fraud detection system that exceeded our expectations. The explainability features have been crucial for regulatory compliance."
VP of Risk Management
Major Digital Bank
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