AI where it earns its place
Most QA time doesn't go into finding bugs. It goes into reading requirements, writing repetitive test code, repairing broken locators, building test data and reading logs. Those are the tasks modern AI does well, and handing them over gives testers time for the work that needs judgement.
We introduce AI step by step, starting with the task that costs your team the most hours. Each workflow has a clear owner, a human approval point and a measure of success, so you can see whether it's working.
What's included
Requirements to test cases
Stories and acceptance criteria turned into structured, traceable cases.
Cases to automation
Approved cases turned into code that matches your framework and naming.
Self-healing locators
Broken selectors repaired from page context, with changes reviewed.
Test data generation
Factories and datasets for edge cases, locales and boundary values.
Failure triage
CI failures clustered by signature, classified and drafted into bug reports.
Readable reporting
Run results summarised for developers, QA leads and product owners.
How the engagement runs
- Workflow audit: We measure where QA time goes today and pick the first workflow to automate.
- Pilot on real work: Two to three weeks on your actual backlog, not a demo project.
- Guardrails: No production credentials, scoped permissions and review before merge.
- Measure: Time saved, coverage added and defects caught, compared with the baseline.
- Scale and hand over: Documented workflows and training so your team runs them without us.
Who this is for
- Teams with a test backlog: More tickets than test cases, and no time to catch up.
- Suites that break on every redesign: Locator maintenance eating a day a week.
- Noisy CI: Every morning starts with a pile of unexplained failures.
- Leaders evaluating AI: You want results on your own product before investing further.
Where it fits
AI-assisted testing builds on a solid automation framework. If you don't have one, we start with QA automation and add AI workflows on top. Related: QA automation, Claude-assisted testing and our AI in QA blog.