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PROJECTS · FRAMEWORKS · CUSTOM ENGINEERING

Build the quality framework your product actually needs.

I help engineering teams design and build custom-grown testing and assurance frameworks around their architecture, business risks and delivery model — from conventional software to AI and agentic systems.

HOW I CAN HELP

Not another off-the-shelf testing framework.

Every engineering organisation has different architecture, risks, teams and release constraints. I can help you turn those realities into a practical quality engineering framework that your team can run, measure and improve.

Understand your system

Map the product, architecture, critical journeys, integrations, AI components, data flows and delivery process. The framework starts from how your system actually works.

Define the quality risks

Identify where failures matter most: functional behaviour, APIs, automation, AI responses, RAG, agents, security, accessibility, performance, integrations and release risk.

Design the assurance model

Create the right combination of test layers, evaluation methods, quality gates, evidence and ownership. No single testing methodology is forced onto every system.

Engineer the framework

Turn the model into reusable automation, test components, evaluators, fixtures, data, reporting and CI/CD integrations that engineering teams can run repeatedly.

Connect it to delivery

Integrate quality checks into development, pull requests, CI pipelines, scheduled runs and release decisions so assurance becomes part of engineering delivery.

Evolve with the product

Use production failures, new risks, model changes and engineering feedback to expand the framework and continuously strengthen the quality system.

WHAT CAN BE CUSTOM BUILT

From test automation to AI assurance.

The framework can combine established engineering practices with custom components where your system needs something more specialised.

Functional, API, web and mobile testing
Automation framework architecture
LLM and RAG evaluation
AI agent and conversational AI assurance
Security, accessibility and performance testing
Regression and release assurance
Test data, fixtures and environment strategy
Quality dashboards, evidence and reporting

THE TARGET STATE

A framework that becomes part of engineering, not another tool to maintain.

The objective is a maintainable quality system: clear ownership, reusable engineering assets, measurable quality signals and evidence that supports everyday development and release decisions.

A quality architecture designed around your product
Reusable test and evaluation components
Automation and CI/CD integration
Risk-based quality gates and release evidence
Traceable results, diagnostics and reporting
A framework your engineering team can own and extend