03 /Services
Test Automation & Framework Development
We design and build test automation frameworks from the ground up: maintainable architecture, readable tests, and CI/CD integration so every commit is verified automatically. No brittle record-and-playback scripts, just engineered frameworks your team can extend.
Capabilities
The specific pieces
Sound familiar?
Manual regression testing takes days and delays every release.
An existing automation suite is flaky, distrusted and quietly ignored.
API changes break integrations and nobody notices until production.
Your team wants automation but lacks the framework-architecture experience to start right.
Approach
How the engagement runs
- 01
Automation assessment
We review your product, release process and existing tests to define what to automate first — highest risk, highest repetition.
- 02
Framework architecture
We build the skeleton: project structure, page objects, fixtures, environments and a first vertical slice of working tests.
- 03
Suite build-out
Critical user journeys and API contracts are automated iteratively, with stability verified across repeated runs.
- 04
CI/CD & handover
Tests run automatically on every pull request, results are reported to your team, and your engineers are trained to extend the suite.
Scope
What’s included
Framework development
Framework architecture from scratch (page objects, fixtures, test data management)
Structured to stay maintainable at a few hundred tests — the point where most home-grown suites stop being worth running.
End-to-end UI automation
The flows that carry revenue or risk, automated against the real interface and run on every merge instead of by hand before a release.
API test automation (REST and GraphQL)
Coverage below the interface, where tests run in seconds rather than minutes and a failure points at one clear cause.
Parallel execution and stable selector strategy
A selector approach that survives refactoring, and parallelisation so the suite finishes inside the window a pipeline can actually wait for.
Pipeline & operations
CI/CD integration (GitHub Actions, GitLab CI)
Wired into your pipeline so the suite blocks a broken merge, rather than sitting in a repository somebody runs occasionally.
Reporting dashboards and failure triage workflow
A failure that says what broke and where, so triage is a task with an owner instead of a conversation.
Flaky-test policy and quarantine process
A written rule for what happens to an unreliable test — the alternative is a suite the team quietly learns to ignore.
Team training and handover
Your engineers writing and maintaining tests in the framework before we leave. The deliverable is capability, not just a repository.
Technologies, ideal clients and industries
- SaaS teams shipping weekly (or faster) without a safety net
- Companies whose manual regression cycle blocks releases
- Teams with a flaky legacy suite that needs rebuilding on solid foundations
- Engineering leaders who want automation done right the first time
Deliverables
What lands in your hands
- 01
Automation framework repository with documented architecture
- 02
Automated test suites for agreed critical journeys
- 03
CI/CD pipeline configuration running tests on every change
- 04
Test reporting setup (e.g. HTML reports, Allure)
- 05
Framework documentation and team onboarding session
08 /FAQ
Automation questions
Which tools do you recommend?
Usually Playwright with TypeScript for web UI automation — reliable, fast, actively maintained and pleasant to work in. But the tool matters far less than the architecture around it. A well-structured suite in a tool you would not have chosen will outlast a badly structured one in the perfect tool, because what makes suites fail is unstable selectors, shared test data and unclear failures rather than the runner. We also weigh what your team already knows: a framework your engineers can maintain in a language they use daily is worth more than a marginally better tool they will avoid touching after we leave.
Can you fix our existing automation instead of starting over?
Often, yes — we start with an assessment of the current suite and tell you honestly whether repair or rebuild is the better investment. Repair usually wins when the structure is sound and the problems are concentrated in selectors, waits or test data. Rebuild usually wins when tests depend on each other or on state left behind by earlier runs, because that is not a defect you can fix in place. Either way you get the reasoning rather than a verdict, including a rough sense of the effort each path costs. Recommending a rebuild is a bigger engagement for us, which is exactly why we show the working.
Who maintains the tests after the engagement?
Your team, if you want to — and we set the engagement up so that is realistic. Training and handover are part of the scope, not an afterthought: your engineers write and maintain tests in the framework while we are still there to review them. The framework is documented, the conventions are written down, and adding a test to an existing flow should not require reading the whole codebase. If you would rather we continue to maintain and extend the suite, that is available as ongoing work. What we try to avoid is the third option, where the suite is technically yours but nobody feels able to change it.
Related reading
- Test automation
CI test gating: deciding what a red build is allowed to stop
Wiring a suite into a pipeline takes a day. Deciding what it may block is the real project, and it is a social agreement with a configuration file attached.
- Test automation
Diagnosing flaky tests: a procedure, not a retry
A retry policy converts an unreliable suite into a slow one that sounds confident. Four families of flake, the tell that identifies each, and the order to work through them.
- Test automation
Test data management: five strategies and what each one costs
How a test obtains the state it needs decides whether a suite survives parallel execution. Five approaches, the failure mode of each, and the problems nobody puts in the estimate.
Contact
Stop paying the manual regression tax
Tell us about your product and release cadence. We'll outline what a framework would look like for your stack — and what it would save you.