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Testing and Quality Engineering

AI Quality Engineering

AI Quality Engineering tests behaviour beyond a demonstration: incorrect answers, prompt injection, weak guardrails, failed tool calls and irrelevant recommendations. Our experience with the production Ask Estila product informs the questions we ask. We turn the agreed failure cases into repeatable checks for the product's release and review process.

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Who it is for

Clear support for the point you are at now.

The service is scoped around the current site, product or process so the next step is useful rather than overbuilt.

  • Businesses adding an AI assistant, chatbot or search layer to a customer-facing product.
  • Product teams that have shipped an AI feature and need a repeatable way to check it.
  • Interiors, retail and product businesses where a wrong recommendation carries real cost.
  • Teams asked by leadership to show that an AI feature is safe enough to keep.

We start by reading your prompts, tools and data sources, then agree the failure cases that matter most and build the first test set around them.

Common problems

The practical issues this service is designed to clarify.

The work avoids broad promises and focuses on decisions, structure and code a business owner can act on.

The assistant answers confidently but wrongly, and nobody finds out until a customer does.

Prompt changes fix one behaviour and quietly break another.

Guardrails exist on paper but have never been tested against real attempts to bypass them.

Search and recommendations return plausible results that are not actually relevant.

Scope

What this can include, and what it does not include by default.

The exact scope is confirmed after an enquiry or audit. This keeps the work practical and avoids promises that need a larger brief.

Included

  • AI response testing against curated question sets, with expected answers and scoring.
  • Hallucination and factual grounding checks against your structured data.
  • Prompt injection and guardrail testing, including suitability rules and refusals.
  • Tool-call, integration and fallback testing, including provider failure and rate limits.
  • Recommendation and search relevance testing with realistic queries.
  • Conversational journey tests and an AI regression pack you can run before each release.

Not included by default

  • Building or fine-tuning the AI feature itself, which sits under AI and Automation.
  • Formal AI safety certification or legal compliance opinions.
  • Red-teaming at adversarial scale beyond the agreed test set.
  • Ongoing monitoring without a support arrangement.

Related services

Useful next routes.

These routes can be combined once an audit or enquiry clarifies the safest scope.

01

Digital and AI Audit

A paid, structured audit of your website, ecommerce, UX, performance, quality, accessibility, automation and AI opportunities, with a prioritised plan.

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Test Automation

Automated regression suites with Playwright, Cypress or Selenium, plus API tests and CI, so every release is checked the same way.

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Ecommerce and Web Application Testing

Functional, checkout, catalogue, cross-browser, mobile, accessibility and performance testing for shops and web applications, with clear reports.

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AI Quality Engineering

Ready to make this part of the work clearer?

Share the current website, platform, process or AI question and Studio Estila can recommend a sensible next step.

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AI Quality Engineering — Studio Estila