Test automation consultant: end-to-end suites that run on every release.
A test automation consultant builds the framework and the suites that check a product on every release without a person clicking through it. Paul Rahme has built those frameworks for Shasha Media at Eurisko, and for Visit Saudi for the Saudi Tourism Authority as Eurisko's QA engineer on the PwC-managed Visit Saudi programme. The stack was Cypress, WebdriverIO, and TypeScript, with Playwright and Appium on newer web and native work and real devices through BrowserStack. He then built the AI pipeline at the marina-software client that writes and heals its own tests. This page is the scripted service; the pipeline is the next step when a team is ready for it.
What a test automation consultant delivers
A framework the team can keep, not a pile of scripts. That means five rules. Page objects, so a change in the UI is fixed in one place. Signal-based waits, never fixed sleeps. Isolated test data, so suites run in parallel and in any order. Tags, so a pull request runs the ten tests that matter while the nightly run takes everything. Reporting that tells an engineer what broke, and where, on one screen. The suites run in your CI, on every change, and block a release when a critical path fails.
The second deliverable is the discipline around it: which flows are covered and why, how a flaky test is handled, who owns a red build. Frameworks fail for the same reasons everywhere, and most of them are process rather than code.
Frameworks built: web, TV, and mobile
At Eurisko, for Shasha Media, the frameworks covered web, a TV application, and mobile, with the regression cycle cut by about 70% once the suites ran on every build. For Visit Saudi, for the Saudi Tourism Authority, as Eurisko's QA engineer on the PwC-managed Visit Saudi programme, the suites ran across real browsers and devices through BrowserStack on the national tourism platform. Each is written up with what was built and what it changed: Shasha Media, Visit Saudi.
Tooling follows the product: Playwright or Cypress for web, WebdriverIO where a team already has it, Appium for native mobile, BrowserStack for real devices, GitHub Actions or the CI you already run.
What the numbers were, and where they come from
Rounded figures; how each was counted is on its case study.
Book the Automation Audit
From scripted suites to a pipeline that writes its own tests
The scripted framework is the foundation, and for many teams it is enough. When the product changes faster than people can write and repair tests, the next step is the pipeline built at the marina-software client. It reads the product and each code change, generates coverage inside the framework's rules, and runs on a schedule. It heals tests broken by intentional changes and shows every heal to a person. It does not replace the discipline; it runs inside it. The comparison is written out in AI test automation vs scripted suites.
What an engagement looks like
It starts with the free Automation Audit applied to your release cycle: what is tested by hand today, how long a regression pass takes, what has broken in production that a suite should have caught. Then a fixed-scope, fixed-price proposal for the framework and the first suites, built in your repositories and your CI, with the team involved from the first pull request so the framework is theirs. Handover includes the conventions written down, or Aldenebai keeps maintaining the suites with a named response time.
Questions about hiring a test automation consultant
Playwright or Cypress?
Playwright for most new web frameworks: it runs across browsers, handles multiple tabs and origins, and its waits are signal-based by default. Cypress when the team already knows it and the product is a single-origin web app. WebdriverIO when a team has it and it works. The tool matters less than the rules the framework enforces.
Can you fix a flaky suite we already have?
Yes, and it is usually the fastest win. Flakiness has a short list of causes: fixed waits, shared test data, order dependence, and tests that assert on timing. The suite is read as it runs, the causes are fixed at the framework level, and the tests nobody trusts are either repaired or deleted with a written reason.
Do we need a QA team for this to work?
You need someone who owns quality, whether that is a QA engineer or the developers themselves. The framework and CI do the running; a person still decides what a red build means for a release. Where a team has no one, the AI pipeline takes over generation and maintenance, and the judgment still lands with a person.
How does this relate to the AI test automation system?
It is the foundation for it. The AI pipeline generates and heals tests inside a framework with rules; without the rules, generated tests are as flaky as hand-written ones. Teams often start here and move to the pipeline once the framework is stable and the product is changing faster than people can keep up.
Related pages
Stop clicking through the release.
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