AI Test Automation Services
We use AI where it genuinely speeds testing up, generating and maintaining tests, and keep engineers in the loop where correctness matters. You get a larger, more stable suite in less time, as ordinary code in your repository.
What we cover
- AI-assisted test authoring from user stories, specs, recordings and existing manual test cases
- Agentic exploratory testing with browser agents (Playwright MCP) that surface real defects and candidate regression tests
- Self-healing locators and auto-repair suggestions when the UI changes
- AI-generated test data, edge cases and negative scenarios
- Coverage gap analysis against requirements and production usage
- Human review of every generated test before it joins the suite
From first call to running tests
- 1
Discovery call
We look at your product, stack, current tests and release process, and agree on the outcome you need.
- 2
Audit & plan
You get a short written plan: what to automate first, the framework and pipeline design, and a fixed scope.
- 3
Build & integrate
We build the suite and pipeline in your repo in short iterations, with tests running in your CI early on.
- 4
Handover or run
We train your team and hand over, or stay on to maintain and extend the suite as your product grows.
AI Test Automation: common questions
Does AI test automation replace QA engineers?
No. AI is very good at drafting tests, proposing locator fixes and summarising failures. It is not reliable at deciding what matters to your business or whether an assertion is meaningful. We use AI to remove the repetitive work and keep an engineer responsible for every test that is merged.
Are AI-generated tests flaky?
They can be if they are merged unreviewed. Every generated test we deliver is run repeatedly, stabilised with proper waits and isolated data, and reviewed before it is added to the suite. The result is ordinary deterministic code, the AI is not in the loop at run time unless you want it to be.
Do we need to buy an AI testing platform?
Usually not. We build on open-source frameworks such as Playwright and Pytest plus the AI models your company already approves, so you are not tied to a per-seat testing platform.
Often combined with
QA AI Pipelines & CI/CD
We design and integrate testing pipelines: parallel runs, smart test selection, flaky-test triage, AI failure analysis and quality gates on every pull request.
GitHub Actions, GitLab CI, Jenkins
Frontend & E2E Automation
Stable end-to-end and component tests with Playwright, Cypress or Selenium, covering cross-browser, visual regression and accessibility.
Playwright, Cypress, Selenium
LLM & AI Application Testing
Evaluation suites for chatbots, RAG systems and AI agents: accuracy, hallucination, safety, prompt-injection and regression checks in CI.
Promptfoo, DeepEval, Ragas
Tell us what you want to stop testing by hand
A few lines about your product, stack and biggest quality problem are enough. We will reply by email, usually within one business day, to set up a discovery call.
- No obligation, no sales script
- A concrete plan and a fixed scope
- NDA available on request
Or talk to us directly