Test Automation Framework Setup
Architecture-first setup on Playwright, Cypress or Selenium, with page object models, shared utilities and documented conventions built to survive real development, not just the handover demo.
Automated Testing
Manual regression slows down as your application grows. We build reliable automation suites integrated with your CI/CD pipeline, covering real user journeys and making it easy to extend as new features ship.
The Cost of Manual-Only QA
If any of this sounds familiar, a properly architected automation suite is not a nice-to-have, it is the fix. Every one of these is solvable with the right framework and the right team behind it.
As an application grows, so does the list of things to re-check by hand. Teams end up spending the final days of every sprint re-clicking old flows instead of testing what actually changed. A working automation suite turns that multi-day chore into a run that finishes in minutes.
Without checks running on every build, a fix in one place can break a flow nobody thought to retest. Manual QA usually catches it eventually, sometimes only after a customer does. Automated checks catch it the moment the change lands, while the fix is still cheap.
Shipping weekly is not realistic if every release needs three days of manual regression first. Automation removes that ceiling. Once a suite is stable, every commit gets validated without adding a single hour to anyone's plate.
When time is short, testers prioritise the obvious paths and quietly skip the rest. Nobody notices until the skipped path breaks. A properly built suite runs the full set every time, with no shortcuts driven by a looming deadline.
Automation written in a hurry, with brittle selectors and no shared structure, breaks on every UI tweak and gets abandoned the moment it becomes inconvenient. We design the framework before writing the first test so it survives real development, not just the handover demo.
A green pipeline feels reassuring until someone asks what it covers and there is no clear answer. Without a coverage map, a passing build can still be silent about checkout, login, or a payment flow it never touched.
Tools & Frameworks
We match the framework to the application and the team, from end-to-end web suites and mobile automation to API testing and pipeline integration.
What We Cover
Automated testing spans framework architecture, regression suites, CI/CD integration, mobile and API coverage, visual regression, and ongoing maintenance. The twelve services below cover all of it.
Architecture-first setup on Playwright, Cypress or Selenium, with page object models, shared utilities and documented conventions built to survive real development, not just the handover demo.
End-to-end suites covering the journeys that actually matter, built to run on every build and hand back results in minutes instead of days.
Tests wired directly into GitHub Actions, GitLab CI, CircleCI or Jenkins, so every commit triggers a run and failures block deployment before they reach staging.
Suites running across Chrome, Firefox, Safari and Edge in parallel, with per-browser results so a rendering bug in one engine does not slip through the others.
Automated coverage for iOS and Android using Appium or Detox, validating core flows on real devices and emulators without a manual pass on every build.
Automated suites covering endpoint behaviour, authentication, error handling and data integrity, running in the pipeline so backend regressions surface before the frontend ever sees them.
Automated checks in the pipeline that catch response-time regressions before release, with baseline comparisons and threshold alerts instead of guesswork.
DAST and dependency vulnerability scans wired into CI, catching known security regressions on every build instead of waiting for a periodic audit.
Existing automation audited for brittle selectors, hard-coded data and maintenance debt, then rebuilt so it stops breaking on routine UI changes.
Automated screenshot comparison that catches layout shifts, broken styles and missing elements, the kind of thing functional tests pass right over.
Structured reports showing pass and fail rates, failure reasons and a coverage map, readable by developers and stakeholders without translation.
Ongoing suite maintenance as the application changes, plus incremental coverage added each release cycle so the investment keeps paying off.
Who We Work With
We build suites for teams across sectors where a production regression costs real revenue, real compliance exposure, or real user trust, not just an awkward conversation.
Why WebNX Global Services
A suite that breaks every sprint gets disabled. One that passes everything because it only covers two flows gives false confidence. The difference is in how the framework is designed before the first test is written. We build automation your team can maintain, extend and trust, not a suite that looks impressive on handover day and quietly degrades over the months that follow.
Get a Free Automation AuditWe design the framework first, page object models, reusable utilities and naming conventions agreed before anything gets written, so the suite stays maintainable as your codebase grows.
Automation that only runs when someone remembers to trigger it is not doing its job. We connect tests to your CI/CD pipeline during setup, not months later, so the suite is validating real commits from week one.
We produce and maintain a coverage map showing what is automated, what is not, and where the highest-risk gaps sit, so you always know what the suite is actually protecting.
Brittle automation gets quietly disabled the first time it becomes inconvenient. We use stable selector strategies and test isolation so the suite stays green through normal development, not just the sprint it was built in.
Building software since 2008 for startups, SMEs and enterprises across the US, UK, Canada and India. We are still reading pipeline logs when a build breaks, not just invoicing for the setup.
AI-assisted tooling speeds up scaffolding and repetitive test writing, and every test still passes through an experienced engineer before it ships, so speed never costs you a suite you can trust.
Our team overlaps daily with US, UK and Canada working hours. A suite failure that surfaces overnight gets reviewed before your team logs on, not left sitting in a red pipeline until lunch.
Framework setup and suite development are quoted as fixed-price engagements with defined deliverables. Maintenance is scoped by release frequency and coverage, never billed by the hour with no ceiling.
How We Work
Eight phases, in order: the framework is designed before scripts are written, tests are proven stable before sign-off, and your team knows how to extend the suite after we leave.
We map critical user journeys, existing coverage and the highest-risk flows. If a suite already exists, we audit it for brittleness and gaps before recommending anything.
Tool choice, architecture, folder structure, page object model, test data strategy and CI approach, all agreed and documented before a single script gets written.
Test environment configured, CI connection established, browser targets set and baseline reporting wired in, all verified before development begins.
Tests written against the agreed coverage map, critical journeys first. Each one is reviewed for stability before it is added, not just checked for a single passing run.
Run triggers, failure thresholds and notifications configured. Tests run on every commit to agreed branches and block deployment on failure.
The suite runs against several consecutive builds to confirm there is no flakiness. Anything unstable is fixed or quarantined before we call the suite stable.
Once critical paths are solid, coverage extends to secondary flows, edge cases and new features, each going through the same review as the original build.
Framework documentation delivered, a contribution guide written, and a handover session run. Ongoing maintenance support stays available as the application evolves.
What Is Included
The difference between ad-hoc automation and a professionally built suite is the architecture, the pipeline integration, the coverage visibility, and whether it is still running reliably six months after it was written.
Client Words
Our Cypress suite sat there breaking every sprint until nobody trusted it enough to run. WebNX Global Services rebuilt the architecture and wired it into GitHub Actions. It has stayed green through six months of real commits, the first time we could say that honestly.
Every release used to mean two days of clicking through the same flows by hand. The pipeline now runs in under twenty minutes and catches regressions before staging ever sees them. We doubled our release frequency without adding a single QA hire.
The coverage map mattered more than the suite itself. For the first time we knew exactly what was tested and what was not, instead of assuming a green build meant everything was fine. The gaps it exposed became our manual testing priority list.
Questions, Answered
Pricing depends on how many user journeys are in scope, how complex your CI/CD setup is, and whether cross-browser or mobile coverage is included. Framework setup with an initial suite is priced lower than a legacy refactor with a full audit attached, and ongoing maintenance is scoped separately by release frequency. Every engagement is quoted as a fixed price with defined deliverables before work begins, so there are no surprises once the suite is live.
A stable suite covering your critical user journeys typically takes four to eight weeks. A broader suite adding secondary flows, cross-browser and API coverage usually runs eight to fourteen weeks. Timeline depends on application complexity and environment stability, but you see working tests from week one, not at the end of the engagement.
Automated testing runs predefined checks on every build and is strongest for regression coverage on stable functionality. Manual testing brings human judgment, best for exploratory work, UX assessment and edge cases that are hard to script. The two work best together: automation handles the repeatable regression work, manual testing covers the judgment layer. We offer both and will tell you honestly which mix fits your situation.
Yes, and starting from zero is common. We begin with a coverage audit mapping critical user journeys and the highest-risk flows to automate first. Framework setup and suite development follow, prioritising the flows that protect the most business value, so you have stable coverage on critical paths before we move to anything secondary.
We integrate directly with GitHub Actions, GitLab CI, CircleCI, Jenkins or whatever you already run. Tests trigger on commits to agreed branches, with failure thresholds that block deployment when critical tests fail, and notifications routed to Slack or email. This is built during framework setup, not added on afterwards, so tests are validating real commits from week one.
Flaky tests get caught during the stability run, before the suite is signed off. We fix the root cause, timing issues, race conditions, unstable selectors, rather than papering over it with retry logic. Anything that cannot be made reliably stable gets quarantined and documented, and ongoing maintenance includes flakiness monitoring as standard.
Every failure includes the test name, the assertion that failed, the step it occurred at, a screenshot at the point of failure, and relevant console or network log output. A developer can reproduce it locally without a recording or a follow-up call. Summary reports show pass and fail rates by suite, failure trends across recent builds, and the coverage map.
Automated DAST tools and dependency vulnerability checks integrated into your pipeline catch known vulnerability patterns on every build, OWASP-classified issues, outdated dependencies with known CVEs, insecure configurations. That is not a substitute for a manual penetration test, which catches business logic flaws no scanner will find. We offer both as part of our QA practice.
Yes. We build mobile automation using Appium for cross-platform coverage and Detox for React Native apps, covering core flows on iOS and Android through real devices and emulators via BrowserStack or Sauce Labs. Mobile automation is scoped separately from web automation because the tooling, environment setup and maintenance overhead are different.
Maintenance is part of our ongoing retainer arrangements. When a UI change breaks a selector, we fix it. When a feature ships, we write and add new tests. When a flow is retired, its tests go with it. Coverage maps get updated each release cycle, and the contribution guide from handover means your own developers can write tests too, not just run the ones we left behind.
Yes. Coverage maps are produced during framework setup and updated with every suite expansion, showing which journeys are automated, which are manual-only, and which have no coverage at all. It gives your team an honest picture of QA posture instead of a pass rate that could be misleading if the suite only covers a fraction of the application.
Yes. Most clients move to an ongoing maintenance retainer after the initial build, covering suite updates as the application changes, flakiness resolution, coverage expansion and pipeline support. Retainers are scoped by release frequency and suite size, not billed by the hour. If you would rather maintain it in-house, we hand over full documentation and a contribution guide.
Keep Exploring
Structured exploratory and regression testing by human QA engineers, for the coverage automation cannot replicate.
ExploreAutomated and manual validation of every endpoint's behaviour, authentication, error handling and data integrity.
ExploreLoad simulations and benchmarking to find where your application slows down and what the real traffic ceiling is.
ExploreTell us about your application, your current release process, and where regression testing costs you the most time. You will get a clear automation scope, a realistic timeline, and a fixed price, usually within one business day.