SERVICES · AI QUALITY ENGINEERING
The core capability is Test Engineering and Quality Engineering leadership. Consulting and advisory can extend into hands-on engineering across AI, automation, security, accessibility, regression and continuous quality.
ENGINEER · 01
Build scalable quality engineering across conventional software and AI systems.
Hands-on test engineering across functional, API, UI, mobile, LLM, RAG, agents, automation and regression.
✓ Test engineering strategy
✓ Automation architecture
✓ AI evaluation coverage
✓ Regression and release controls
APPROACH · 02
Use evidence-driven evaluation where software behaviour is probabilistic or continuously changing.
Apply EDD as one testing approach within a broader quality strategy for AI systems, alongside functional testing, automation, security, accessibility and release assurance.
✓ Evaluation criteria
✓ Representative test datasets
✓ Automated evaluation runs
✓ Evidence for quality decisions
CHALLENGE · 03
Find AI-specific security and misuse failures before they become production incidents.
Adversarial testing for prompt injection, data leakage, unsafe actions, instruction conflicts and policy boundaries.
✓ Attack scenarios
✓ Reproducible findings
✓ Evidence and severity
✓ Remediation priorities
ASSURE · 04
Turn changing models, prompts and AI workflows into repeatable regression evidence.
Design and implement regression coverage across critical AI behaviours, conventional software journeys, prompts, models, retrieval and agent workflows.
✓ Critical regression journeys
✓ Versioned evaluations
✓ Change comparisons
✓ Release decision evidence
INCLUDE · 05
Make AI experiences usable across web, mobile and conversational journeys.
Accessibility testing across digital interfaces and conversational AI, including dynamic, multi-turn and assistive-technology behaviour.
✓ WCAG-oriented findings
✓ Screen-reader journeys
✓ Mobile accessibility checks
✓ Conversational AI evidence
IMPROVE · 06
Connect production signals to continuous quality improvement.
A quality feedback loop connecting production behaviour, failure analysis, regression discovery and release assurance.
✓ Quality signals
✓ Failure taxonomy
✓ Production test discovery
✓ Continuous regression loop
NOT SURE WHERE TO START?
Bring your product, delivery context and quality challenge. We can identify the right combination of leadership, strategy, engineering and assurance.