Case Study | 12-Aug-2025
Scaling Quality Assurance with AI-Powered Test Automation
Boosting test accuracy, reducing manual effort, and accelerating multi-app release cycles through a unified automation strategy.
Elaborate on the Challenge
A mortgage services client undergoing digital transformation faced mounting challenges in quality assurance. Manual testing was the default across multiple platforms, including complex new mobile functionality and integrated systems like CRM and servicing platforms. With no automation framework, testing was inconsistent, time-consuming, and prone to delays - especially for dynamic UI elements and data-driven workflows. The absence of unified test coverage for UI and API layers further slowed release cycles and impacted product reliability.
Objective Summary
To implement a unified, AI-augmented test automation framework that improves accuracy, accelerates release cycles, and reduces manual QA effort across web, mobile, and API-based platforms.
Business Impact
Achieved end-to-end QA automation with 70% less manual effort, 60% faster regressions, and 70% higher test coverage across platforms.
70%
Reduction in manual effort
60%
Faster regression cycles
50%
Faster test development
70%
Increase in test coverage
Fully automated, cross-platform QA execution
Solution - Test Smarter, Deliver Faster—with Automation
Moder assembled a 16-member QA transformation team to build a comprehensive automation framework for modern application environments. The Solution combined Selenium for legacy web interfaces, Playwright for dynamic UIs, and Rest Assured for API-level validation - ensuring complete test coverage.
An AI-driven copilot tool was integrated to intelligently identify elements, auto-generate scripts, and handle dynamic content - substantially reducing manual intervention. The framework was tightly integrated into CI/CD pipelines, supporting continuous testing and faster feedback loops across all environments.
The result was a robust, scalable, and intelligent QA engine capable of supporting frequent releases faster and more accurately.
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