


Automation pays off when tests are run repeatedly: regression suites, smoke tests on every deploy, and cross-browser checks. If your team releases weekly or faster and testers spend most of their time re-running the same manual checks, automation typically recovers its cost within three to six months. Our guide on manual vs automated testing covers the decision criteria in detail.
We build and maintain automation in Selenium, Playwright, and Cypress, and integrate suites into CI/CD pipelines on Azure DevOps, GitHub Actions, GitLab, and Atlassian tools. We also offer TestInspector, our AI-powered platform that generates and runs browser tests from plain-English descriptions, with no framework lock-in.
A typical engagement starts with a fixed-scope pilot that automates your highest-value regression flows, then moves to a monthly retainer for maintenance and expansion. Pricing depends on application complexity and coverage targets; see our software testing cost and pricing guide for benchmark figures.
AI-powered automation uses large language models to generate test cases from requirements, self-heal broken selectors when the UI changes, and analyze visual differences between releases. This cuts maintenance effort, which is the biggest hidden cost of traditional automation. Read more in our guide to AI in software testing.
Yes. We audit your current suite, stabilize flaky tests, migrate to a modern framework if needed, and run it as a managed service so your engineers can focus on feature work. Contact us for an audit of your existing tests.