Manual testing is a tax on every deployment
Enterprise software evolves constantly — new features, regulatory changes, integration updates. Every change carries risk. Without automated tests, every deployment requires a manual regression cycle: testers walking through hundreds of scenarios. The cycle takes weeks, so releases slow to a crawl. When something breaks in production, the team spends days finding it.
Test automation is not about replacing testers — it is about eliminating manual work that does not need human judgment. Unit tests catch logic errors in seconds. Integration tests verify systems communicate correctly. End-to-end tests confirm critical journeys work. When these run on every commit, feedback shrinks from weeks to minutes.
Assess & Strategize
We audit current test coverage, identify highest-risk areas and design a testing strategy: which tests to automate first and how they integrate into CI/CD.
Build & Implement
Test infrastructure setup, framework selection and test implementation starting with the highest-value areas: critical user journeys, API contracts and business logic.
Maintain & Expand
Flaky test management, coverage reporting, and continuous expansion as new features ship. Tests that fail unpredictably are fixed or removed — a flaky test is worse than no test.
What we deliver
Isolated, fast tests for individual functions and components. Test-driven development as a practice, not a checklist. Mocking frameworks to isolate dependencies.
Tests that verify boundaries between components: API contracts, database interactions and message queue behavior. Consumer-driven contract testing with Pact where appropriate.
Automated user journey tests with Playwright or Cypress against real browser environments. Focused on scenarios that, if broken, stop users from doing their jobs.
Automated REST and GraphQL API validation: schema compliance, response codes, payload structure and authentication behavior. Integrated into CI so every build validates the API contract.
Load tests, stress tests and baseline performance measurement using k6 or Gatling. Performance benchmarks in CI catch regressions before production.
Reliable, isolated test data strategies: seed scripts, factory patterns and database snapshots that give every test a clean, predictable starting state.
Releases still blocked by manual QA cycles?
Talk to a test engineer who builds quality into the pipeline.
4,000-Employee FMCG Manufacturer
A 15-year-old monolithic ERP had zero test coverage. The modernization project needed automated tests to ensure extracted microservices behaved identically to legacy components.
We built a test suite from zero: unit tests for extracted business logic, integration tests for API boundaries, and E2E regression tests for 50 critical user journeys. All integrated into the CI/CD pipeline from sprint one.
100% test coverage on all extracted modules. Weekly releases with confidence. Regressions caught by the pipeline within minutes of a commit.
Where we apply it
- Add a safety net to legacy code without rewriting it
- Block defective builds before they reach staging
- Protect critical user journeys with automated regression tests
- Prevent microservice contract breaks before deployment
- Catch performance regressions before users feel them
Technologies
Microsoft