Build-Operate-Transfer (BOT): The Fastest Way to Stand Up a QA Center for Your India GCC
In the fast-paced world of Fintech, speed is the currency of success. However, maintaining velocity without sacrificing quality is the ultimate balancing act. This case study explores how India’s premier financial services provider, a leading financial services company, leveraged Qualitrix’s AI capabilities to revolutionize their regression testing, unlocking massive cost savings and agility.
The client faced a significant hurdle in their agile development model. With 240 end-to-end (E2E) user journeys across 4 distinct products, their testing requirements were vast and complex.
Their existing QA process was struggling to keep up:
Slow Automation Build: It was estimated to take 50 weeks for two senior engineers to build the necessary automation suite.
Deployment Delays: Daily deployments were bogged down by 16+ hours of QA time, creating a severe drag on release velocity.
To break this gridlock, the client deployed Nogrunt, Qualitrix’s AI-powered automation platform. Unlike traditional frameworks that require heavy coding and senior resources, Nogrunt democratized the automation process.
Rapid Deployment: The existing team was able to fully automate the suite in just 8 weeks, drastically cutting down the projected 50-week timeline.
No Senior Engineers Required: The platform eliminated the need for dedicated, high-cost automation engineers.
Resilience: Nogrunt provided self-healing scripts optimized specifically for CI/CD velocity, ensuring tests remained stable even as the application evolved.
The transformation was immediate and measurable. By shifting to an AI-driven approach, The client didn’t just speed up testing; they fundamentally changed their cost structure.
90% Faster QA Cycles: The 16-hour testing marathon was reduced to just ~2 hours, allowing for true daily deployments.
Massive Cost Reduction: The one-time automation cost plummeted from $105,000 to just $10,000.
6x Faster Coverage: Full test coverage was achieved six times faster than traditional methods.
Immediate ROI: The project delivered return on investment from Day 1 through reduced rework and consistent release velocity.
Conclusion
The client’s story proves that hyper-efficient QA automation is possible without increasing headcount. By adopting AI-driven tools, they transformed a 50-week roadmap into an 8-week sprint, securing their position as an agile leader in the financial sector.
