Thought leadership

Teaching, speaking and writing on AI.Teaching, speaking and writing on AI, entrepreneurship and evidence-led transformation.

Alongside client and product work, I contribute to AI, entrepreneurship and transformation education through university lectures, MBA and undergraduate sessions, conference talks, school workshops and published commentary.

The common thread is practical: AI only matters when it changes how work is done, how decisions are made and how value is created. My writing and speaking focus on moving AI away from theatre and towards adoption, governance, process intelligence and measurable outcomes.

Core themes

University teaching and lectures

Lectures and teaching sessions on new technologies, AI, entrepreneurship and technology-based start-ups, including work with undergraduate and MBA audiences.

AI and entrepreneurship

Talks and commentary on how AI changes the economics of start-ups, consulting, product development and business model innovation.

AI adoption and operating model change

Practical thinking on why AI adoption fails when organisations treat it as a tool deployment rather than a redesign of work, governance and value creation.

Evidence-led transformation

A recurring argument that discovery should start with operational evidence, not workshops alone. This is central to Lanthra, Pulse, PEA and PES.

Responsible AI and governance

Writing and advisory thinking on AI governance, adoption controls, regulated environments and the practical conditions required to scale AI responsibly.

AI for younger learners

Workshops and talks designed to make AI, robotics and future technology careers accessible to school students and early-stage learners.

Selected teaching and speaking areas

Essex Business School lectures on new technologies and technology-based start-ups.

RISEBA keynote and academic contribution on entrepreneurship in the age of AI.

MBA and undergraduate sessions on innovation, AI adoption and business transformation.

AI and robotics workshops for school students, covering real-world applications and career pathways.

Published commentary and article themes

Selected LinkedIn articles and longer-form commentary can be linked here. The emphasis should be on articles that reinforce the market position: AI adoption, process intelligence, operating model change, evidence-led discovery, governance and due diligence.

AI adoption is not a technology problem. It is an operating model problem.

Discovery without data is becoming obsolete.

The future of consulting will be evidence-led, AI-assisted and value-measured.

AI governance is not bureaucracy. It is the licence to scale.

Private equity needs operational evidence, not just management narrative.