- An Onshore, On-Site Delivery Model
Testvox engineers work full-time from the client's Ghansoli office, in the client's sprints, on the client's tooling, reporting to the client's engineering and QA leads. The client directs the work exactly as they would with their own team. Engagements run as three-to-six-month contracts that roll forward as needs continue, and Testvox carries the employment side — sourcing, contracting, payroll, ramp-up and replacement cover — so the client gets capacity without the hiring cycle or the overhead. Being on site also means no exported builds and no remote access into controlled environments, which matters for a product sold on data sovereignty.
- Hiring for the Actual Profile, With Client Approval on Every Hire
Testvox sourced against the real requirement rather than a generic QA job description: around five years of experience, Playwright automation capability, hands-on Appium experience across iOS and Android, and background in telecom or real-time communication products. The client interviews and approves every candidate, and the process is kept deliberately short — one or two rounds — so an approved engineer can start almost immediately rather than weeks later. Culture fit is an explicit selection criterion alongside technical assessment, because an engineer who integrates into the team is worth more than one who is marginally stronger on paper.
- Taking Ownership of the Existing Framework, Not Replacing It
The team began by taking ownership of what already existed rather than proposing a rewrite. That meant auditing the current suites, separating genuine product failures from flaky tests, stabilising the unreliable ones, and establishing clear conventions for structure, locators, fixtures and test data. Ownership was defined in practical terms: the automation backlog, the failure triage, the CI runs and the ongoing maintenance all sit with the Testvox team, so framework health stops competing with feature delivery for attention.
- Modernising With AI-Augmented Playwright Authoring
With the framework stable, the team modernised how tests are written and maintained. AI-assisted authoring is used to draft and refactor Playwright specs from user stories and existing test cases, to suggest fixes when selectors break against UI changes, and to extend coverage faster than hand-writing every script allows. Every generated script is reviewed and validated by the engineer who owns it — AI accelerates the writing, it does not decide what "passed" means. Alongside this, the suite was brought up to modern Playwright practice: structured page objects and fixtures, parallel execution, CI integration, and reporting the client's team can read without help.
- Web and Mobile Coverage in One Team
Because the same engineers work across Playwright and Appium, web and mobile coverage stays aligned instead of splitting into two disconnected suites with different conventions and different ideas of what a regression pass means. Functional testers work beside the automation engineers on release, exploratory and regression testing, and the loop runs both ways: manual findings become candidates for automation, and automation failures get investigated by people who know the product hands-on.