QA and test automation

Testing with AI

Writing tests takes time, and it is hard to tell whether AI-generated tests would detect real defects.

An example exercise

Illustrative task. We choose the actual exercise around your team’s work and tools.

Choose a feature, describe the expected behaviour, then introduce a deliberate defect to verify that the AI-assisted test catches it.

How we work

Clarify expected behaviour and important failure cases.
Use AI to develop test cases and automated checks.
Try the tests against both correct and faulty behaviour.

What stays with your team.

Acceptance criteria and test cases for the feature.
Verified tests in your existing toolset.
Criteria for reviewing AI-generated tests.

Making time for the work

Practical sessions around a selected feature. The balance of manual testing and automation follows participants’ responsibilities.

We agree session count and length, group size, preparation, follow-up and fees before starting. Environment preparation and practice get their own time allocation.

What do we need to start?

A familiar feature, an accessible test environment and the current testing tools. Suitable sample data instead of live customer data.

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