Scaled from handling hundreds to thousands of concurrent applications while maintaining consistent performance.
Enhanced ML models and testing framework leading to more accurate lending decisions.
The Challenge
A leading credit card and loan provider needed to modernize their decisioning platform to handle increasing application volumes and integrate sophisticated ML models. The existing system struggled with scalability and lacked proper testing capabilities for new decisioning models.
Key Requirements
- Scale to handle 5x more concurrent applications
- Integrate new machine learning models seamlessly
- Implement comprehensive model testing framework
- Maintain strict compliance and audit requirements
- Zero downtime during transition
Our Approach
Through our micro-transformation methodology, we:
- Analyzed bottlenecks in existing architecture
- Designed scalable microservices architecture
- Implemented ML model validation pipeline
- Created comprehensive testing framework
Technical Solution
The solution leveraged modern cloud architecture and AI capabilities:
- Containerized microservices for scalability
- ML model deployment pipeline
- Real-time monitoring and analytics
- Automated testing framework
Technologies Used
Key Outcomes
- Scaled to handle thousands of concurrent applications
- Improved decision accuracy through ML optimization
- Zero downtime during platform transition
"They create better solutions that are quicker, more effective, saving time and resource for us."
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