Retail Banking
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Case Study: Scaling Digital Payments Intelligence
The Context
Our client provides critical digital payments intelligence, helping individuals and organisations make safer decisions by providing real-time risk insights. Operating in a fraud-sensitive, trust-critical environment, the client required a partner to help scale their platform while maintaining absolute service continuity and security.
The Challenge
As demand for their platform grew, the client faced the common challenges of rapid scaling:
Legacy Technical Debt: A production system built at "startup pace," lacking the automated testing required for enterprise reliability
Operational Stability: Inconsistent performance across initial client deployments
Dual-Track Delivery: The need to simultaneously stabilize the live investigator platform while successfully launching a broad-access, next-generation product
Our Solution
We embedded our engineers directly into the client’s delivery teams to bridge the gap between active support and platform evolution:
Risk-Managed Stabilization: Introduced proportionate testing and monitoring to reduce operational risk without slowing down live service delivery
Core Service Modernization: Refactored inefficient data and search services and migrated away from legacy infrastructure to improve extensibility and resilience
Strategic Product Launch: Applied architecture lessons from the live investigator platform to build clear API boundaries for the new product, ensuring high performance through parallel processing
The Results
Operational Excellence: Improved service stability and significantly reduced investigation times through faster document processing
Zero-Disruption Launch: Successfully introduced a new, broader-access product with no impact on existing operations
Engineering Confidence: Established deeper operational visibility and automated test coverage, fostering greater ownership among the internal team
The client successfully navigated the transition from startup speed to enterprise-grade resilience. By evolving their engineering practices alongside their product roadmap, they emerged with a more scalable, dependable service capable of operating safely and reliably in a fraud-critical environment.