Services
Most companies buy AI tools and hope something sticks. Licences go out, a few people get excited, and three months later usage has collapsed back to the same handful of early adopters.
The tools were never the hard part. The hard part is capability: who does what differently on Monday morning, and why.
That's the work I do. I help non-technical teams build real AI capability, in the workflows they already own.
What I believe
Augment before you automate.
Automation removes a person from the work. Augmentation makes their judgement faster and better. The hype is all automation. Most of the near term value sits in augmentation, and it is quicker to prove and easier to adopt.
Adoption is organisational change.
The technology is the easy part. Every rollout I have seen fail, failed on the human side.
The fewest moving parts that earn their keep.
Most AI programmes pile on tools, agents and complexity that goes unused. Lean is the discipline.
Built around your actual work.
A system that works is trained on your real workflows, your voice, and your decisions. Someone else's pack was built for someone else's business.
Four ways to start
| Offer | Price | Duration |
|---|---|---|
| AI Readiness Scorecard | Free | 2 minutes |
| The AI-Native Accelerator | £1,499 per seat | 5 weeks |
| AI Sprint | From £12,000 | 2 weeks |
| AI Operating System Installation | From £30,000 | 6 months |
AI Readiness Scorecard
Free. Seven questions, two minutes.
Find out where your organisation sits before you spend anything. You get a score out of 30, your readiness tier, and a clear next step.
The AI-Native Accelerator
£1,499 per seat. Five weeks: one week of pre-work, four weeks live.
For people who want the skill of building with AI themselves. You leave owning a working AI Operating System: an orchestrator plus three specialists trained on your business, and something shipped.
Applications close 4 September. Pre-work opens 7 September, week 1 starts 14 September.
AI Sprint
From £12,000. Two weeks.
For leaders who want to see AI working in their business before committing to a full installation. Structured discovery across roles and workflows, one working agent built and deployed on your highest value repeatable workflow, and a costed projection of what it returns.
AI Operating System Installation
From £30,000. Six months.
For companies ready to take one function from nothing to genuinely AI-native. The Sprint proves it works. The Installation builds it: your AI Operating System, put in alongside your team, with the capability left behind. Sold inside Sprint relationships.
How a full engagement runs
Discovery, first. One to two weeks. I interview people across functions and watch how work really moves. The process document tells you one story. The calendar and the inbox tell you another. I am looking for where the time goes, and where judgement is being spent on low value work.
Then a 30/60/90 day plan.
Days 1 to 30: time and space to learn. People get the tools, the training, and protected time to build fluency. No targets yet. You can only experiment with something you can already use.
Days 31 to 60: structured experimentation. Small experiments on real workflows people already own, run in the open so the team learns from each other. Some will fail. That is the point.
Days 61 to 90: systemise what works. The experiments that earned their keep become standard practice, documented and owned. We find and back the people who carry it forward after I leave.
Where we start
Wherever the bottleneck already is. In discovery I ask which single function is holding the company back most right now, and we start there.
So far that has meant recruitment operations for an executive search firm, marketing for a consumer brand, and pipeline tooling for a founder buried in admin. The common thread is high volume work with a clear quality bar, owned by someone who actively wants the help. That last part matters more than the function.
Who this is for
Leaders of 20 to 100 person companies who are operationally sophisticated, with systems and processes that work, and no engineering team to hand this to.
The qualifying question: could your team get AI licences within two weeks of starting? If that needs a six month procurement review, come back when it clears.
Who I am
I spent a decade in product leadership, including at Pivotal Labs and VMware, where the model was to pair with a team, teach as we went, and leave the capability behind. That is still how I work.
The person in discovery is the person building, and the person training your team.
I run my own business on a team of AI agents I built. I use it every day. What I teach is what I do.
It starts with a conversation. I will ask what is going on, what you have already tried, and what good would look like. If I can help, I will explain how. If someone else is a better fit, I will point you at them.