Test Architecture
Building a reliable test capability
Your project has to deliver, but testing is still manual, unreliable or simply not there. What needs to be tested, what should be automated, and how do you know when the system is ready? I can design the complete test approach around your architecture, risks and delivery model, then turn it into a working solution with tooling, pipelines, test data, reporting and a reliable automated regression suite.
Activities:
- Defining a test strategy that fits the organization and business risks
- Designing the test automation architecture, frameworks, tooling and standards
- Determining the right test levels, test types, coverage and quality criteria
- Integrating automated testing, reporting and quality gates into CI/CD pipelines
- Designing test data and end-to-end scenarios across complex application landscapes
- Providing management with reliable information for risk and go/no-go decisions
Test Automation
Making testing fast and efficient
Reliable test automation is more than writing scripts. It requires good engineering, the right coverage and tests that be maintained by the team. I can join your programme as a hands-on senior specialist, build and improve automated tests across UI, API and end-to-end flows, and coach the people around me while doing it. The goal is a faster, stronger team that can continue independently.
Activities:
- Building maintainable test suites with Playwright and Robot Framework
- Automating testing at UI, API, service, integration and end-to-end level
- Selecting the tests that provide the greatest value when automated
- Integrating automated regression testing into CI/CD for rapid feedback
- Engineering reliable tests with minimal false positives and maintenance
- Coaching testers and developers in effective test automation techniques
- Transferring knowledge so teams can maintain and extend automation independently
Agentic Testing
Leverage human insight with artificial intelligence
AI is changing software delivery faster than most organisations can adapt. Used well, agents can analyse requirements, generate and maintain tests, investigate failures and take over large amounts of repetitive engineering work. Used badly, they create noise, unreliable output and new risks. I can help you implement agentic testing in a controlled and practical way: designing agents, subagents, skills and workflows, and deciding deliberately which work should remain with people. The result is not AI for its own sake, but dramatically higher productivity while retaining human judgement where it matters.
Activities:
- Identifying what tasks are best handled by humans or delegated to AI agents
- Designing agents and subagents for analysis, test creation, execution and maintenance
- Creating reusable skills, instructions and context that make agent output consistent
- Integrating agentic workflows into existing test automation and development processes
- Measuring productivity and quality improvements and continuously refining the approach