Disruptive technology, implemented. Not presented
I help executive teams choose the AI and automation work that grows the business, then build it with them. Five ventures running now, so the advice comes from operating rather than observing.

The problem
Most AI projects stall between the pilot and the P&L.
The tools work. The demos are impressive. What breaks is everything around them: nobody owns the process, the data is somewhere else, and the people expected to use it were never part of the decision.
I start from the other end. Which two or three processes cost you the most, what would it be worth to change them, and can we prove it inside a quarter. If the answer is no, you should not be spending the money.
Three Ways In
01 / BUILD
AI automation
Two or three processes where AI removes real cost. Scoped, built, handed over to your team.
6–12 weeks · fixed fee
02 / ADVISE
Strategic consulting
A standing seat with leadership on where technology fits over the next three years, and where it does not.
retained · quarterly
03 / ENABLE
Training & keynotes
AI literacy, generative AI for IP, leadership through change. Workshops, programmes and stages.
half-day to multi-week
What an engagement looks like
No open-ended discovery phase. You know the shape of the work before you commit to it.
Call
Thirty minutes on what is slowing the business down. No deck, no charge.
Diagnostic
I map the candidate processes, size the cost of each, and rank them by payback.
Build
We build in your environment with your people in the room. Fortnightly demos.
Handover
Documentation, training and an owner named inside your business. Then I leave.
Ventures
All Ventures →On stage
AI in education, automation in business, the future of work, monetising IP through generative AI. Clarity for audiences who have heard enough hype.








