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Test automation for AI products

Build meaningful regression coverage around product outcomes and operating risks.

Commission this programme
Specialist engineering programme
Task environmentInterruptionDOMPixelsStateReviewObserve task state

Build meaningful regression coverage around product outcomes and operating risks.

Capability dossier

A defined contribution.

Commissioned artefact

Regression suite and release checks.

Acceptance focus

Assess whether changes preserve the behaviours the user and enterprise workflow depend on.

The operating task

Build meaningful regression coverage around product outcomes and operating risks. The user task connects model behaviour, application interfaces and a useful product outcome.

Softinator's contribution

Create repeatable coverage around meaningful product outcomes and operating risks. The commissioned output includes regression suite and release checks.

Acceptance in use

Assess whether changes preserve the behaviours the user and enterprise workflow depend on. The engagement defines the baseline, task scope and evidence used to assess the resulting contribution.

Follow the connection.

Explore the method, its context
and the engineering underneath.

Services

AI product engineering and verification

The user task connects model behaviour, application interfaces and a useful product outcome.

Trust centre

Enterprise procurement

Commercial scope, technical requirements and the evidence needed to commission the work.

Technologies

GitHub Actions engineering

Repository-connected automation and delivery. Reviewable build, evaluation and release evidence.

Technologies

GitLab CI engineering

Repository and deployment automation workflows. Controlled artefact changes and meaningful release checks.

Technologies

Playwright engineering

Browser automation and application verification. Meaningful task tests and observable interaction outcomes.

Bring the next
requirement.

Discuss your programme