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Fintech Platform QA Transformation

How a strategic QA overhaul and AI-powered test automation led to a 99.9% crash-free rate and a 65% faster release cycle.

The Story

PaySphere, a rapidly growing mobile payments platform, faced a critical quality crisis. As they accelerated feature development to compete in the crowded fintech market, their application's stability plummeted. Frequent crashes, regressions, and UI glitches were eroding user trust and leading to a surge in negative app store reviews. Their manual testing process, once sufficient, had become a significant bottleneck, unable to keep pace with their agile development cycles. The team was caught in a vicious cycle of shipping fast, breaking things, and then scrambling to fix them, which slowed down true innovation.

The leadership team recognized that to scale securely and regain user confidence, they needed to shift from a reactive bug-fixing culture to a proactive quality engineering mindset. They needed a partner who could not only build a robust test automation framework but also instill a culture of quality across the entire engineering organization.

What Did Medha Soft Do

Medha Soft was engaged as a strategic QA partner to overhaul PaySphere's entire quality assurance process. We deployed a dedicated team of QA automation engineers who embedded with PaySphere's development pods. Our approach was centered on implementing our AI-Hybrid Testing Framework to create a scalable, efficient, and comprehensive quality safety net.

  • AI-Powered Test Case Generation

    We used our proprietary AI tools to analyze the app's codebase and user flows, automatically generating over 80% of the regression test suite. This provided immediate, broad test coverage and allowed our engineers to focus on high-risk areas.

  • CI/CD Integration & DevSecOps

    We built a new test automation framework using Playwright and integrated it directly into their GitHub Actions CI/CD pipeline. Every pull request now automatically triggers a suite of functional, visual regression, and API tests, catching bugs before they ever reach a staging environment.

  • Performance and Security Testing

    We established regular performance and load testing protocols to simulate peak transaction volumes, identifying and resolving bottlenecks. We also integrated static and dynamic security scanning (SAST/DAST) into the pipeline to proactively identify vulnerabilities.

Data Analysis Chart

The chart below highlights the dramatic decrease in production bug reports and the corresponding increase in the app's crash-free user rate following the implementation of our automated QA framework.

Chart Caption: Monthly Production Defects vs. Crash-Free User Percentage.

The Results

The QA transformation delivered immediate and lasting results, fundamentally improving product quality, development velocity, and user trust.

99.9% Crash-Free Rate: The app's stability soared, leading to a dramatic reduction in user complaints and a significant improvement in app store ratings.

65% Faster Release Cycle: With a reliable automated testing safety net, PaySphere was able to reduce its release cycle from two weeks to just three days, accelerating feature delivery.

90% Reduction in Production Bugs: Catching defects early in the development process meant fewer bugs made it to production, freeing up developers to focus on new features instead of hotfixes.

Customer Reviews of the Case

Medha Soft didn't just build us a test suite; they engineered a culture of quality. Their AI-augmented approach to QA is a true accelerator. Our developers can now build with confidence, knowing there's a robust safety net to catch issues before our users do.
A professional headshot of a male head of QA.

Alex Johnson

Head of Engineering, PaySphere

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