As digital banking platforms expand, ensuring reliability, security, and compliance across complex systems becomes critical, especially in areas like financial crime prevention and mortgage servicing. A leading UK-based bank set out to strengthen its digital platforms to support millions of customers while reducing operational risk and improving delivery speed.
The objective was to build a scalable QA ecosystem that could support continuous releases, enhance system reliability, and proactively detect risks. By embedding automation and end-to-end testing across critical workflows, the platform achieved improved quality, reduced production issues, and faster time to market.
Transformation Timeline
Built automation for financial crime and core banking workflows
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The Challenge
The bank needed to ensure quality and compliance across multiple digital banking platforms while managing increasing complexity. Detecting and preventing financial crime during customer onboarding requires robust validation processes and reliable testing frameworks.
Mortgage servicing workflows added another layer of complexity, with multiple dependencies and high business criticality. Legacy credit risk systems and QA platforms further increased regression overhead, slowing down delivery cycles.
Repeated test cycles and complex system integrations led to delays in releases and increased the risk of defects reaching production. Without a scalable QA approach, the organization faced challenges in maintaining quality, controlling risk, and improving delivery efficiency.
Our Approach
Delivered a scalable, automation-led QA ecosystem that improved risk detection, accelerated testing, and ensured reliability across digital banking platforms.
Automated Financial Crime Validation
Built end-to-end automation covering test data creation, transaction processing, and validation to strengthen financial crime detection during onboarding.
Enabled KYX Monitoring Automation
Automated customer screening, KYX monitoring, and risk detail validation to improve compliance accuracy and reduce manual effort.
Implemented API Automation Framework
Deployed API automation using Rest Assured for critical risk and mortgage APIs, ensuring consistent validation and faster execution.
Established Performance & UI Testing
Built performance testing frameworks for APIs and implemented end-to-end UI automation for core banking scenarios to ensure system stability under load.
Standardized TCoE Model
Established a centralized Testing Center of Excellence (TCoE) with shared tools, metrics, and frameworks to improve governance and consistency.
Partner & Technology Ecosystem
The engagement was delivered using Coforge’s AI-led engineering capabilities and cloud-native delivery framework.

Impact to Date
£25M Cost Avoidance
75–80% Reduction in Production Incidents
30% Reduction in Manual Testing Effort
30% Faster Test Execution
Business Impact
- Strengthened financial crime detection and compliance processes
- Improved quality across complex mortgage servicing workflows
- Reduced regression effort across legacy
- Accelerated release cycles with continuous testing
- Enhanced API reliability and system performance
- Improved governance through standardized TCoE model
Looking Ahead
With a scalable QA ecosystem in place, the bank is well positioned to further enhance digital platform reliability, strengthen risk controls, and accelerate innovation while maintaining high security and compliance standards..
Value Delivered
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Risk-Aware QA Framework
Enabled proactive detection and prevention of financial crime and system defects.
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Automation-Driven Efficiency
Reduced manual effort and accelerated testing cycles through scalable automation.
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Improved Platform Reliability
Ensured consistent performance across APIs, workflows, and customer journeys.
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Centralized Quality Governance
Established a TCoE model to standardize processes, tools, and metrics across programs.
