Who I work with
I work with universities and other high-scrutiny organisations (including agencies, consultancies, SMEs, and founders) who need practical AI systems, not more experiments or vague strategy decks.
The goal: clearer decisions, safer governance, faster delivery, and workflows your team will still use six months from now.
Higher Education and Research
Typical situations:
- •Departments need to decide how AI fits into assessment and supervision
- •Research teams want to use AI, but are unsure about ethics, data, and reproducibility
- •Senior leadership wants clarity on risks and opportunities for AI in research and teaching
I bring the perspective of a current professor and research leader who is already involved in institutional AI strategy, REF planning, and grant review. The work is practical and aligned with the realities of committees, regulations, and culture, with governance and adoption built in from the start.
See the approach in AI in higher education: from policy anxiety to practical pilots.
Agencies and Consultancies
Typical situations:
- •You want to use AI to improve speed and margins, but you do not want to damage your reputation or clients' rights
- •You suspect AI could help with research, briefing, or reporting, but internal experiments have not reached production
- •You need a credible way to talk about AI use with your own clients
I help you design and implement small, focused systems and policies that match your actual workflow rather than a slide deck version of your organisation.
Read more in the AI strategy for creative and digital agencies guide.
SMEs and Founders
Typical situations:
- •You need a working MVP to apply for funding or enter a programme
- •You want to test an AI-supported product idea without hiring a full development team
- •You sit in a creative or cultural field and want someone who understands both the domain and the tech
My role is to help you define a narrow, testable scope and then build a working prototype quickly, using AI-assisted development tools and a simple, robust stack.
If you are exploring an MVP, the rapid AI prototyping guide outlines how we scope, build, and test with real users.