Case Study

Strengthening Digital Banking Reliability and Risk Control through End-to-End QA

Industry

Banking & Financial Services

Location

Global Delivery (UK-focused engagement)

Our Contributions

Quality Engineering & Assurance, Test Automation, API & Performance Testing, Security Testing, Financial Crime Validation, Mortgage Platform Testing

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

Phase 1

Established QA strategy and baseline testing frameworks

Phase 2

Built automation for financial crime and core banking workflows

Phase 3

Implemented API and performance testing frameworks

Phase 4

Scaled continuous testing to improve delivery speed and reliability

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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.

£25M Cost Avoidance

Through early detection of critical issues

75–80% Reduction in Production Incidents

Enabled by proactive defect identification

30% Reduction in Manual Testing Effort

Driven by automation-led test data generation

30% Faster Test Execution

Through continuous testing frameworks