AI technology is the sameeverywhere. AI value is not.
The technical skill needed to deploy Copilot, an agent or an Azure service is broadly the same whatever business you are in. What it is worth is completely different. It depends on how your industry makes money, which processes carry that money, and where the friction sits. So that is where we start — not with the tools.
The same tool
A legal firm and a manufacturer can deploy exactly the same Microsoft capability, with the same technical effort.
A different return
One is paid for expert time. The other is paid for throughput and margin. The same tool moves completely different numbers.
So we start there
We begin with the economics of your sector, then work down to the processes where AI can change the outcome.
Generic AI advice produces generic AI results. Tools switched on, work unchanged, nothing measurable at the end — technology without transformation. That is most of what the mid-market has been sold so far.
Six layers. One per industry.
This is what “industry specialisation” means here. Not a logo on a landing page — a worked model of how money moves through your kind of business.
Layers one to three come from sector research and interviews with people who run these businesses. Layers four to six are treated as working assumptions and tested inside your business during the Accelerator. We would rather tell you which parts are evidence and which parts are hypothesis.
Four questions. Ten different answers.
The same four questions in every sector. Completely different answers. That is what makes the first conversation useful rather than educational.
The economics
The two or three numbers a board in your sector actually manages to.
Where it hurts
The pain points people in your sector describe — in their own words, not ours.
Where AI could move it
Patterns worth examining, each marked with how much we actually know.
What would show it
The measures that would move if it worked — agreed before anything is built.
Every sector view is marked for evidence.
Some of what we bring is drawn from research. Some has been confirmed by people who run these businesses. We tell you which is which, every time.
Our sector views improve with every engagement that runs through them. A model that has served ten businesses and not changed has not been used properly.
Ten sectors, each with its own economic model.
Each sector view is built the same way — economics first, then the value chain, then the processes AI can actually change. New sectors are added as the model behind them is completed.
Where the lines fall
Professional Services is for firms that sell expertise by the hour — accountancy, advisory, consulting, engineering, architecture. Business Services & FM is for firms that sell delivered service at contracted volume.
And on the product side
Manufacturing is for firms that make things and sell to other businesses. Retail, Consumer Brands & E-Commerce is for firms that sell to consumers. Each page says who it is for, so you will know within a sentence if you are in the wrong place.
We do the commercial half. Your partner does the technical half.
Every AI programme needs both. We work alongside your existing technology partner rather than replacing them.
The first conversation starts further along.
No education session
We do not spend your leadership team’s day explaining what AI is. We arrive with your sector’s economics and a short list of where value tends to sit.
Opportunities in your language
Quote turnaround, matter throughput, claims handling, job costing — whichever applies. Not “productivity uplift”.
Faster to a decision
Because the pattern work is already done, the paid engagements are shorter and cost less than a first-principles exercise would.
Find out where the value sits in your sector.
Forty-five minutes with your leadership team, using the economics of your industry rather than a general AI briefing.
Book a free assessment