AI, implemented — not theorised
AI that shows up in your P&L, not a slide deck.
I adopted AI across my own portfolio and it made every business leaner and more profitable — margins up 15% on average. Now I install the same playbook in your business. For a fee, or for equity.
Most companies talk about AI. Very few make money from it.
In 2025, roughly four in ten companies quietly killed their AI initiatives — not because AI doesn't work, but because pilots never reached production and nobody owned the outcome. Most AI consultancy sells the strategy deck and leaves before the hard part. Strategy decks don't cut costs. Shipped systems do.
My edge is the opposite: AI shipped into real operations, measured on the bottom line.
I find where AI pays, then build it and hand you the wins.
Efficiency audit
Map every workflow and find exactly where AI removes cost, time or headcount drag.
Revenue plays
Where AI opens new revenue — acquisition, conversion, retention, and entirely new products.
Build & deploy
Tools, agents and automations implemented into your real stack. To production, not to a demo.
Team enablement
Your people become AI-native, so the gains stick and you're not dependent on me forever.
Governance & security
Access control, data handling and guardrails baked in — responsible deployment from day one.
Measure the bottom line
Every engagement tied to defined before/after metrics on cost and revenue. The number is the point.
I didn't learn this on your budget. I learned it on mine.
Portfolio-wide margins
AI applied across operations, marketing and infrastructure in the businesses I run
Margins up 15% on average across the portfolio
Hosting & infrastructure costs
AI-assisted infrastructure audit and optimisation across the portfolio's stacks
Hundreds of thousands saved in hosting costs
Everyday task load across the team
AI agents and automations embedded into daily workflows
Thousands upon thousands of hours of task work removed
Marketing spend going out on instinct
AI correlating every available data point before a campaign launches
Streamlined campaigns — sharper targeting, less waste
This website
Designed, built and shipped by me, working with AI — end to end
You're reading the demo right now
AI shipped as product, not just process
TradeLocker Studio no-code algo bots and FunderPro's Acuity AI terminal
An industry-first AI research terminal, per Finance Magnates
Finance Magnates ↗Figures and milestones relate to independent portfolio and partner companies and were accurate when published; they can change over time. Each company's own site carries its current numbers.
Three ways to work with me. All tied to outcomes.
Fee
Fixed-scope project or monthly retainer. Clear scope, clear price, defined deliverables.
Best when you want full ownership and a defined outcome.
Equity
I take a stake and work alongside you over time — written scope, defined vesting, clear terms on what triggers or ends the stake.
Best when you want a long-term operating partner with skin in the game.
Hybrid
Reduced fee plus equity, or a share of the efficiency savings and revenue lift created.
Best when you want aligned incentives and lower cash outlay.
Fee — you keep everything, you pay cash. Equity — we're partners, aligned for the long run. Hybrid — share the risk and the upside. Any equity engagement comes with a written scope, defined vesting, and clear terms — alignment, not dilution without accountability.
A fit if
- You're an established business with real operations.
- You want AI implemented and owned — not just advised on.
- You'll measure the engagement on results.
Not a fit if
- You want a one-off strategy PDF.
- You're pre-product.
- The team isn't ready to change how it works.
From application to measured result.
Apply
Tell me your business and where AI could move the needle.
Opportunity scan
I identify the highest-ROI AI plays for your operation.
Proposal
Scope, model — fee, equity or hybrid — and the target metrics.
Build & enable
Implemented to production. Your team trained to run it.
Measure
Before/after on cost and revenue. The number is the point.
Straight answers.
How is this different from a big consulting firm?
They advise; I ship. Every system I'll propose for your business ran in my own businesses first — I learned this on my P&L, not on your budget.
Fee or equity — how do we choose?
Fee if you want defined deliverables and full ownership. Equity if you want a long-term partner with skin in the game. Hybrid if you want aligned incentives with less cash out. We settle it at the proposal stage.
What size of business do you work with?
Established operating businesses — real teams, real revenue, real workflows to improve. If you're pre-product, build first.
How long until we see results?
The opportunity scan surfaces the highest-ROI plays first, and we deploy those before anything speculative. Timelines are set per engagement against the target metrics — no generic promises.
Is our data safe?
Security is part of the build, not an afterthought: least-privilege access, controlled data handling and guardrails on every deployment — the same posture I hold my own businesses to.
Do we end up dependent on you?
No — team enablement is built into every engagement. The goal is your people running AI-native operations without me.
Want AI working in your business — measured on the bottom line?
Fee or equity. I only take on businesses I can move.