Shared understanding
Quality depends on how well teams understand user intent, business impact, operational reality and the human context around the journey.
An evolving body of work
Artificial Intelligence is transforming software delivery. The deeper question is not simply what AI can do, but what remains uniquely human when AI increasingly participates in building, testing and assuring software.
Following the publication of Rehumanising Quality and the discussions after its presentation at the BCS SIGiST Summer Conference 2026, it became clear that Human-Centred Testing is not simply another testing approach. It points towards a broader professional discipline.
Our mission: To redefine software quality as a human-centred, evidence-driven discipline that enables better organisational decisions, while providing practitioners with the capability models, professional pathways and practical methods needed to thrive in an AI-accelerated world.
For much of my career, the future of quality appeared to be shaped by better engineering practices, better tooling and better automation. Those things still matter. But AI forces a deeper question about judgement, context, trust and shared understanding.
Quality depends on how well teams understand user intent, business impact, operational reality and the human context around the journey.
User journeys become the central artefact that connects requirements, build, testing, production behaviour and real-world outcomes.
AI can amplify what humans achieve at great length, but it must be shaped by good quality practice, context and judgement.
In 2026 I had the privilege of presenting Rehumanising Quality: The QA Role as Orchestrator in AI-Accelerated Testing at the BCS SIGiST Summer Conference.
The talk explored how QA can evolve from test execution towards orchestration of human-centred quality across user journeys.
The conference slide deck is available now. The conference paper, full publication and presentation deck now form the Initiative’s first published foundation.
VerityJX is the home of the Initiative and its evolving body of knowledge. It develops the philosophy, capability model, professional pathways and research agenda.
User Journey Explorer is the practical implementation companion. It explores how these principles can be applied through user journeys, evidence, governance, continuous improvement and supporting methods.
If these ideas resonate with your own experience of quality, AI, healthcare, testing or organisational change, I would genuinely welcome the conversation.
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