aiAI TESTINGHUB
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SERVICES / RESOURCING

The right expertise.
Inside your team.

Discuss specialist AI testing resources for your project, from evaluation design to automation and release assurance.

AI Engineers in Test

Extend your quality engineering capacity for AI applications and agents.

  • Design functional, negative and edge-case tests.
  • Test agent tool calls, integrations and end-to-end workflows.
  • Build repeatable evaluations and regression checks.

Evaluation specialists

Support the datasets and measurements behind release decisions.

  • Create and review golden datasets and evaluation rubrics.
  • Implement Python evaluation workflows and reporting.
  • Analyse failures and collaborate with development teams on improvements.

AI test leadership

Bring structure to testing across your AI delivery lifecycle.

  • Define scope, test strategy, acceptance criteria and reporting.
  • Coordinate testing with product, engineering and risk stakeholders.
  • Track defects, quality risks and readiness for release.

A scoped engagement

Agree the skills and working arrangements before committing.

  • Discuss your technology stack, objectives and required experience.
  • Agree duration, capacity, collaboration model and deliverables.
  • Confirm availability and commercial terms through a tailored proposal.

Built around your delivery needs.

Share your project scope, required skill set, expected start date and engagement duration. We’ll discuss a suitable resourcing approach and the responsibilities your team needs covered.

Resource availability, onboarding requirements and access arrangements are confirmed before an engagement starts.

Build your
AI testing capability.

Tell us where your team needs additional expertise.

Discuss your requirements