The Challenge
A fast-growing fintech had built significant automation across its core platform — but its testing infrastructure hadn't kept pace. Manual QA was the bottleneck in every release cycle. Regressions were reaching production because the manual test suite couldn't cover the full scope of changes in time. Release velocity was constrained by testing capacity, not engineering output. As the platform scaled, the risk of an untested regression reaching clients was growing.
The Solution
We implemented an end-to-end test automation framework using Selenium for UI testing, Tricentis Tosca for structured test case management and execution, and the UiPath Test Suite for automation-specific workflow validation. GitHub Actions was configured as the CI/CD orchestration layer — triggering the full test suite automatically on every pull request and deployment. Test coverage was systematically built from scratch, prioritising business-critical paths and high-regression-risk areas first. The team was trained and the framework was handed over as a maintained, extensible asset.
The Impact
Test coverage reached 90%+. Release cycles were halved — the bottleneck shifted back to engineering velocity, where it belongs. Regressions stopped reaching production. The QA team transitioned from manual execution to test strategy and coverage ownership.
Reflection Question: What percentage of your codebase is covered by automated tests today? What is the cost — in time, risk, and client confidence — of regressions reaching production?
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