Case Study

Accelerating Digital Banking Releases through Scalable Test Automation

Industry

Banking & Financial Services

Location

Global Delivery (UK-focused engagement)

Our Contributions

Quality Engineering Transformation, Test Automation Strategy, CI/CD Enablement, Multi-Device Testing, Environment Stability, QE Governance & Reporting

As digital-only banks scale rapidly, maintaining release velocity without compromising quality becomes critical—especially in mobile-first, cloud-native environments. A leading UK-based app-only bank set out to strengthen its quality engineering practices to support daily deployments across multiple devices, operating systems, and environments.

The objective was to move away from manual, time-intensive testing toward a scalable, automation-first model. By embedding automation into the development lifecycle and improving environment stability, the organization enabled faster releases, improved reliability, and consistent customer experiences across channels.

Transformation Timeline

Phase 1

Defined automation strategy and QE transformation roadmap

Phase 2

Built reusable automation frameworks and integrated CI/CD

Phase 3

Enabled component-level testing and early defect detection

Phase 4

Stabilized environments and scaled continuous testing

Drag

The Challenge

The bank needed to significantly increase release frequency while managing daily deployments across multiple devices, operating systems, and environments. This required a scalable and reliable testing approach that could keep pace with rapid development cycles.

Manual regression testing created long execution cycles, slowing delivery and making it difficult to meet release timelines. Defects were often identified late in the lifecycle, leading to rework and increased risk before production releases.

Environment instability further disrupted execution, causing delays and inconsistent test outcomes. Without transformation, these challenges limited release velocity, increased operational effort, and impacted production readiness.

Our Approach

Delivered an automation-first QE transformation that accelerated releases, improved defect detection, and ensured stable execution across environments.

Defined Automation-First Strategy

Implemented a unified automation approach anchored in Automation First and In-Sprint Automation principles to enable continuous testing.

Built Reusable Automation Framework

Developed a BDD-based automation framework to improve reusability, maintainability, and support frequent release cycles.

Enabled CI/CD Integration

Integrated automated regression suites with Jenkins to enable overnight execution and parallel testing across environments.

Improved Early Defect Detection

Shifted testing left by enabling component-level validation and proactive test data setup to identify defects earlier in the lifecycle.

Stabilized Test Environments

Introduced overnight environment health checks and dedicated on-premise test labs to improve stability and execution reliability.

Partner & Technology Ecosystem

The engagement was delivered using Coforge’s AI-led engineering capabilities and cloud-native delivery framework.

6x Faster Releases

Enabled through automation-first approach

80% Defects Detected Early

At component level

4x Effort Savings

Through scalable automation

<0.17% Defect Leakage

Ensuring high production quality