AI consulting that turns scattered tools into systems that pay back.
Your team is already using AI. The opportunity is to turn that activity into measurable value. I help you find the work worth changing, test the smallest useful approach, measure the result and build only what earns its place.
A decade of experiments for a UK bank, Vitality, RNLI and Farrow & Ball. Building production AI inside a UK bank since 2023.
Direct reply from me within two business days. No sales sequence.
Decide where AI can create value. Prove it before you scale.
AI consulting is hands-on help to decide where AI can create measurable value in your business, then prove it before you scale. I map the real work, identify the bottlenecks and risks, quantify the opportunity, and set the next move. The output is a decision your team can act on, not a tool list or a strategy deck.
The opportunity is already inside the work.
AI value rarely begins with a transformation plan. It begins with the person who knows a process is too slow, a decision is too hard, or a handoff keeps breaking. I work with the people closest to that work, map what actually happens and test the smallest change that can improve a real number.
Most firms have already started using AI. The missing piece is a way to learn across the business. Useful experiments stay on one person’s laptop. Bad ideas get repeated elsewhere. Leaders see activity, but cannot tell what is worth backing.
The consultancy turns that scattered effort into three things:
The scale changes. The test-and-learn discipline does not.
The Edge Loop is the principle behind the brand: pick, test, measure, keep, stack. For one person, it builds an advantage around their work. Inside a firm, the same discipline turns scattered use into shared evidence and repeatable systems.
The Edge Loop shapes the judgement. The Sprint Method structures the AI Opportunity Roadmap.
Tested, not borrowed becomes a commercial rule: no AI initiative earns the next pound until it has proved a result.
Start with the smallest engagement that can answer the question.
I do not ask you to pick an offer before we understand the problem. Start with the work that is stuck, slow or difficult to value. I will recommend the smallest useful route, including doing nothing if there is no credible value case.
3 to 4 weeks · Scoped per firm
For firms whose AI use has grown in pieces and needs a clear order. I interview leadership and the people doing the work, map the workflows in scope, cost the bottlenecks and opportunities in hours and cash, then rank the moves.
You leave with a costed, sequenced 90-day plan. It shows what to do now, what to test next and what to leave alone. It is built for a board decision and for the people who have to act on it.
One measurable outcome
For a team with a real workflow or decision to work through together. The session uses your work, not generic prompt demonstrations. We map the problem, score the most credible opportunities and shape the next experiment.
You leave with two or three opportunities, an owner for the first test and a clear measure of success. Workshops are available when the team context and measurable outcome are clear.
A brief that needs challenging
For work that does not need a full Roadmap. I can pressure-test an AI proposal, challenge the value case, help shape a first experiment, or give a vendor-neutral view before you commit budget.
If there is a better route than bringing me in, I will say so.
Value you can defend, not activity you can count.
I have spent a decade finding what actually moves a number.
AI is a new context. The evidence discipline is not.
At a UK bank, I designed an AI-supported system for GEO and code reviews. It reduced each review from five hours across three roles to 20 minutes with one engineer: 93% less time, 486 hours and £33,150 saved a year at two reviews a week. The engineer now spends the time acting on the findings, not producing them.
Before AI, the same approach produced
The contexts changed. The pattern did not: start with the real work, establish the baseline, test the assumption, measure the result and use the evidence to decide what happens next.
Read more about my experience →Built for established UK firms without a dedicated AI team.
I work with CEOs, MDs and operations leads at established UK firms with £2m to £20m revenue. You are past the founder-only stage, but you do not have a large data or AI team. Sector matters less than the shape of the problem.
- People already use AI, but the results are scattered and hard to compare.
- A repeated workflow is slow, expensive or limited by handoffs.
- Leadership needs evidence before committing more budget.
- The team wants to build internal capability, not outsource the judgement.
- You want generic AI awareness training with no work outcome attached.
- The tool has already been chosen and you only need someone to implement it.
- The people, process or data needed to establish a baseline are unavailable.
- The brief starts with “transform everything” rather than one result that can be measured.
Start with the problem. Scope the work from there.
The first conversation costs nothing. There are no open-ended retainers by default and no invoice you have not agreed to in advance.
Go deeper before you get in touch.
Questions I get asked before we start.
Bring me the work that should be working better.
You do not need an AI strategy or a finished brief. If there is a repeated task, a stuck decision, a proposed AI investment or a team problem you think should be working better, tell me. I will reply within two business days and tell you whether I can help.
One enquiry, one reply. No autoresponder and no sales sequence.