Strategic AI implementation
For knowledge-oriented organisations.
I help universities and other high-scrutiny organisations, including agencies, consultancies, SMEs, and founders, implement AI with clear priorities, robust governance, and workflows that actually stick. We focus on measurable outcomes, working prototypes where useful, and an operating model your team can run without dependency or hype.
Paid diagnostic. Go/no-go brief for a pilot or retainer.
Universities and research teams · Agencies and consultancies · SMEs and founders
Who I help
Higher Education and Research
Under pressure to act on AI while safeguarding assessment integrity, research ethics, and institutional credibility.
Agencies and Consultancies
That need an AI strategy and concrete systems, not another deck.
SMEs and Founders
Who need a working MVP to secure funding or validate an idea.
From pressure to practical systems
Most organisations already pay for AI licences. The real problem is different:
- •No clear view of which workflows AI should touch
- •No governance around IP, data, and quality
- •No capacity to build and test small systems before committing serious budget
- •Cannot afford to waste time on vague AI experiments
I help you:
- Identify high-value, low-risk AI use cases
- Design a small AI "operating system" around a specific process
- Build and ship a prototype you can test with real users
Is your organisation ready for AI?
Take the 2-minute check to get a readiness snapshot across strategy, governance, team capability, and infrastructure.
Take the quiz →Why work with me
Professor of Music and Research Leader at a UK university, with responsibility for AI in research strategy
Chartered Manager with experience designing operating models, governance, and delivery in high-scrutiny environments
Principal Investigator and Co-Investigator on multiple millions of research funding (AHRC, DFG, Horizon Europe, Leverhulme, EPSRC)
Hands-on AI delivery experience, from workflow pilots to maintainable internal systems (with clear handover)