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Test Automation Services: Selenium, Playwright, Appium, CI/CD

Vervali builds and runs test automation for web, mobile and API products: framework design, suite build, pipeline integration and the maintenance that decides whether automation ever pays back. Frameworks are written in Selenium, Playwright, Cypress, Appium, REST Assured and k6, and run in GitHub Actions, Jenkins or Azure DevOps. We will also tell you which tests are not worth automating, which is the part most vendors leave out.

150+ clients 450+ projects 275+ engineers 15+ years
Test automation with Selenium, Playwright and Appium, Vervali
ISO/IEC 17025:2017 testing laboratory accreditation mark

ISO/IEC 17025:2017Accredited testing laboratory

CMMI Maturity Level 3 process award

CMMI Maturity Level 3The process is written down and repeats

ISO 9001:2015 quality management certification mark

ISO 9001:2015Quality management

ISO/IEC 27001 information security certification mark

ISO/IEC 27001Information security

What We Automate, and What We Do Not

Automation pays when a test is stable, frequent and expensive to repeat manually. We define that split before framework work begins, with specialist coverage available for web, mobile and API automation.

Automate These

Regression on settled features, API contracts, smoke tests on every build, and data-heavy checks a person would get wrong. Login, the revenue path once the fields stop moving, and the journeys that still make money after last month's release. Those are cheaper to keep alive than to re-execute by hand.

Leave These Manual

Two standing examples we recommend leaving manual: a checkout experiment whose fields change every sprint, and a visual brand check on a campaign landing page that is judged by eye. Exploratory work, one-off UAT with a business owner, and a path that ships twice a year stay with a person. If we would not automate it on our own product, we will not sell it on yours.

Find the stable paths that can return the cost of automation.

Free Automation-Readiness Review of One Suite

Framework Design and Choosing the Tool

The right framework fits the product stack, team language, browser or device matrix and pipeline. We choose for maintainability after handover, not for the longest tool list.

Selenium

Breadth and legacy. When the estate is mixed, old, and already WebDriver, Selenium is the honest default. It is not the fastest. It is the one that still reaches the browser you cannot abandon.

Playwright

Modern web and speed. Auto-wait, parallel runs, and no licence fee for the runner. Cost is CI minutes, which we spell out in Is Playwright free?

Cypress

Front-end teams already living in JavaScript. Strong in the browser the developers use. Weaker when you need multiple origins or native mobile. We will say so before we quote it.

Appium

Mobile. Real devices where the money is, not only emulators. The matrix lives on the mobile testing page. Here it is the automation layer on those devices.

REST Assured

API contracts in Java estates. Faster feedback than UI, cheaper to keep alive. Method depth is in API test automation best practices 2026.

k6

Load in the same conversation as functional automation, not a surprise extra. Profile and method sit on performance testing.

Building the First Suite

The first suite protects the revenue path, build smoke and high-frequency regressions before lower-value backlog items. A stable environment and resettable test data determine how quickly that coverage becomes reliable.

What You Provide

A staging URL that does not move under us, accounts for the roles in the revenue path, and test data that can be reset. NDA first. If the environment is shared with a demo that wipes data at noon, say so before kickoff.

What You Get First

Smoke on every build, then the path that takes money, then the regressions that still fail after last month's release. Functional coverage that stays manual is named, not hidden. The split is the same argument as on application testing.

Pipeline Integration

Short pull-request checks protect developer flow, while broader nightly runs carry regression depth. GitHub Actions, Jenkins and Azure DevOps receive triaged results rather than an unexplained red build.

When a Run Is Ignored, the Suite Is Already Dead

If pull-request tests take longer than a coffee, they will be skipped. We cut that set to smoke plus the path this change can break. Nightly holds the rest. A flake over the budget is deleted or rewritten, not lived with.

Maintenance, the Cost Nobody Quotes For

Maintenance determines whether the suite keeps earning trust after launch. We price ownership, locator repair and flake control up front instead of presenting them as a surprise later.

Stable Locator Strategy

Resilient selectors and page or screen objects isolate product changes. One component update should not break fifty tests that all copied the same locator.

Flakiness Budget

Intermittent failures are measured, assigned and removed. A test over the agreed threshold is repaired or retired before teams learn to ignore the result.

Named Monthly Allocation

The quote identifies maintenance capacity for product, browser, device and pipeline changes. Year two continues that operating model rather than repeating the initial build.

Taking Over a Suite Somebody Else Wrote

We establish what the inherited suite truly covers before recommending investment. The result is a keep, refactor or rebuild decision with cost, risk and pipeline impact.

1

Run and Measure

Execute the suite in its current environment and record pass rate, runtime, flakes and tests that assert nothing.

2

Assess the Framework

Review structure, locators, data, dependencies and whether the current CI/CD runner can remain.

3

Choose the Path

Keep, refactor or rebuild, with the cost and expected maintenance of each option stated separately.

Reporting a Product Owner Can Read

A product owner needs coverage, release risk and ownership, not a stack-trace archive. We separate product defects, test defects and environment failures and show what changed since the previous run.

Coverage and Risk

Stable journeys covered, important paths still manual and the release areas affected by current failures.

Failure Classification

Product defect, test defect or environment issue, with an owner and evidence attached to each failure.

Change Over Time

Pass trend, runtime, flakes and newly exposed gaps summarized for pull requests, releases or leadership.

Case Studies

Automation changed release economics on an airline platform and a finance product by protecting stable, high-value journeys while human testing stayed on changing risks.

India · major airline · booking and check-in

Before: coverage on booking and check-in was too thin for the release pace, so customers reported issues testing had not seen. Vervali automated the stable journeys that sell seats and get passengers to the gate, and left disruption experiments and one-off fare trials manual. After two release cycles: 85% test coverage and 70% fewer customer-reported issues.

85% test coverage70% fewer customer-reported issuesStable paths automated

UAE · SME finance platform · web and mobile

Before: testing time was eating the sprint. Vervali put automation on the repeatable finance journeys and kept exploratory work and UAT support in human hands. After: 40% less testing time, and 98% user satisfaction. The cadence changed because the pack ran on the pipeline, not because every click was scripted.

40% less testing time98% user satisfactionExploratory left manual

Engagement Models

Choose ownership around the capability already inside your team. Typical work is $25 to $49 per hour, with build, handover and maintenance responsibilities named before kickoff.

Build and Hand Over

Quoted to a working suite in your pipeline. You own it. Suits a team with QA who can keep locators alive. Run cost after that is your CI and your people.

Build and Maintain

The monthly allocation is in the quote. Suits a team that wants the suite green without hiring a specialist. Run cost is that retainer plus CI.

Dedicated Automation Engineer

A named person inside your team, billed monthly. Suits a backlog that will still be there after the first suite. Same people across releases.

One suite, reviewed honestly

Find Where Automation Will Pay Back

Share the product, current suite and pipeline. We will identify the stable coverage, maintenance risk and first framework decision.

ISO/IEC 17025:2017 · CMMI Level 3 · US-hours coverage

Frequently Asked Questions

Judge a vendor on whether they will tell you what not to automate, whether maintenance is in the quote, whether they will work in your pipeline, and whether a product owner can read the report. Tool lists are not that. Vervali is an ISO/IEC 17025 accredited lab with CMMI Level 3 process, US-hours coverage, delivery from India, and a free readiness review of one suite.

Test automation runs stable, repeatable checks whenever the product changes, giving teams faster evidence without repeating every step manually. The work includes framework design, test data, suite development, pipeline execution, failure triage and maintenance. It is most valuable for frequent regression, smoke and API checks. Exploratory, usability and rapidly changing journeys still need human testing.

Common choices include Selenium for broad browser estates, Playwright for modern web applications, Cypress for JavaScript front-end teams, Appium for mobile, REST Assured for Java API testing and k6 for load. GitHub Actions, Jenkins and Azure DevOps can run the suites. The best tool is the one your team can maintain after handover.

Payback is when unattended runs cost less than the person-hours they replace. Assumptions we will stand behind: the suite runs on every build, locators are stable enough to keep a flakiness budget, and maintenance is allocated monthly. Under those, payback is months, not a sprint. If the UI still changes every week, it will not pay back and we will say so in the readiness review rather than sell the suite.

Stable regression journeys, API contracts, build smoke tests, data-heavy checks and repeatable load profiles are strong automation candidates. Exploratory testing, visual judgement, one-off UAT and journeys that change every sprint usually remain manual. Automated accessibility checks can find some rule violations, but keyboard, screen-reader and usability assessment still require a person.

You have a staging environment that does not move under the suite, test data that can be reset, and at least one path that is stable and runs often. If those are missing, automation stalls. The free readiness review of one suite is how we say ready or not, with the split of what to script and what to leave, before anyone writes a locator.

Yes, as a build-and-maintain engagement with a monthly allocation named in the quote. Build and hand over is the other shape, if your QA can keep locators alive. An ignored suite after handover is worse than no suite. Maintenance is not free and is not a surprise line six months later.

Yes. GitHub Actions, Jenkins or Azure DevOps. Pull-request tests stay short. Nightly can be longer. Failures are triaged so a flake does not block a release that is actually fine. If your pipeline is something else, we say in the design whether we can run there or whether a runner has to sit beside it.
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