SERVICES · AI QUALITY ENGINEERING
Choose the problem your organisation needs to solve. Each engagement can start as a focused assessment and expand into engineering, automation, security, regression and continuous quality.
DISCOVER · 01
Know where your AI can fail before you test the wrong things.
A focused assessment of architecture, critical journeys, failure modes and current quality coverage.
✓ AI quality risk map
✓ Critical journey inventory
✓ Coverage gap analysis
✓ Prioritised test roadmap
BUILD · 02
Turn AI testing from an experiment into an engineering capability.
Hands-on engineering across LLM evaluation, RAG, agents, APIs, UI journeys, automation and regression.
✓ Evaluation framework
✓ Automated AI tests
✓ Critical journey automation
✓ Release quality gates
CHALLENGE · 03
Find the behaviours your normal test cases will never try.
Adversarial testing designed to expose AI-specific security, misuse and policy-boundary failures.
✓ Attack scenarios
✓ Reproducible findings
✓ Evidence and severity
✓ Remediation priorities
PROTECT · 04
Stop every model, prompt or RAG change from becoming a manual re-test.
Repeatable regression coverage for critical AI behaviour across prompts, models, retrieval and agent workflows.
✓ Critical regression journeys
✓ Versioned evaluations
✓ Change comparisons
✓ Release decision evidence
INCLUDE · 05
Make AI experiences usable beyond the happy path and the visual interface.
Accessibility testing across web, mobile and conversational AI experiences, including dynamic and multi-turn behaviour.
✓ WCAG-oriented findings
✓ Screen-reader journeys
✓ Mobile accessibility checks
✓ Conversational AI accessibility evidence
OPERATE · 06
Keep learning from production instead of repeating the same failures.
A continuous quality loop connecting production signals, failure analysis, regression discovery and release assurance.
✓ Quality signals
✓ Failure taxonomy
✓ Production test discovery
✓ Continuous regression loop
NOT SURE WHERE TO START?
Bring your AI product, current quality problem and release context. We can identify the right quality response.