Corporate AI Transformation
Find where AI can improve the business. Redesign the work. Build the case before you pay for the technology. Then measure whether the value the board approved has appeared.
We work with UK mid-market boards. We sell no software, no licences and no build work.
The AI Value Map — where you are now, and what needs to change.
Two sentences we hear in most boardrooms.
They are the same problem at two points in the same programme.
“We bought AI. Not much changed.”
The licences are paid for every month. The tools are switched on. Adoption is reported each quarter. Nobody can tell the board what the money bought.
“It went live. We cannot tell what it returned.”
The partner built what was asked for. It passed testing. But nobody wrote down what good looked like first. So the question can no longer be answered.
The board has spent the money. It cannot link that money to a change in the business.
If the work does not change, the result may not change.
Technology speeds up the work it is given. Put it on top of the way you work today and you get today’s way of working, a little faster and a good deal more expensive. And if nobody agreed what it should return, nobody can say whether it did.
Change the work before you change the technology.
One of them has to be chosen.
Most firms end up in the first without ever deciding to. The second is a choice.
How it usually goes
- Buy the AI licences.
- Switch the tools on.
- Train people to use them.
- Report how many people log in.
- Struggle to show the board a return.
How to do it differently
- Find the business problem worth solving.
- Redesign how that work is done.
- Build the business case, then decide.
- Your technology partner builds the solution.
- Measure the result against the baseline.
Technology speeds up whatever it finds. Change the work, and it speeds up the right thing.
Two kinds of help. Both are needed.
Every AI programme needs two kinds of help. Most firms buy one and assume it covered both. We are not an implementation partner, and we do not replace the one you have.
Both matter. Formalus works alongside your existing technology partner rather than replacing them.
We do not sell software, licences or implementation. Because we do not sell the technology, our advice is not tied to a product sale.
We do not start with a blank page.
Most advisers arrive and ask you to explain your business. You pay to teach them. We arrive with a working view of how firms like yours make money. We then spend the time on what that view gets wrong.
A blank page and a list of questions.
- “Tell us about your business.”
- “What are your priorities?”
- “Where do you think AI could help?”
You pay to teach the adviser.
A working view of how your sector makes money.
- How firms in your sector earn and lose money
- Which processes carry that money
- Where AI may affect those numbers
You spend the time correcting it.
Being wrong is useful. When your leadership team corrects the model, that correction is the most valuable part of the session. It also makes the next one better.
Not four services. Four risks taken off the table.
Each service answers one question, in order, before more money is spent.
Opportunity risk
Are we looking in the right places?
Prioritisation risk
Are we starting with the right opportunity?
Transformation and investment risk
Do we know what must change, what it is worth and whether we should invest?
Value realisation risk
Are we getting the value we approved?
Four services. You commit to the next one, not to all four.
Each one answers a board question and ends in a decision.
AI Opportunity Assessment
Where might AI create value in our business?
Complimentary · 30–45 minutesAI Business Envisioning Workshop
Which AI opportunity should we pursue first?
£2,500 · one dayAI Business Case & Process Redesign
What needs to change, what is it worth, and should we invest?
From £15,000, depending on scopeThe build and the measurement run at the same time.
AI Value Realisation
Are we getting the value we approved?
£5,000 a month unless separately scopedAI Value Realisation starts with the agreed baseline, runs alongside implementation and continues after go-live.
Governance, security and responsible AI requirements are addressed where the work requires them.
The value of AI depends on how your industry works.
The skill to deploy Copilot or an agent is much the same in every business. What it is worth is not. That depends on how your industry makes money, and which processes carry that money. So we start there, not with the tools. Ten sectors, each with its own economic model.
The technology changes. The operating discipline does not.
Most people who advise on change have never carried the profit and loss when one went wrong. We have.
25 years
Running customer-facing change, with the budget and the result on the line.
£24bn revenue
Under direct accountability in GM, VP and C-suite roles.
4 markets
One operating model held across four countries at Vodafone.
11 quarters reversed
Decline at Symantec taken to zero, then eight quarters of growth.
Vodafone · O2 · Symantec · Staples · Equifax · Helvar · JD Power award for best customer experience at consumer scale
To be clear about the record: these were operating model and process programmes, not AI projects. What carries across is the discipline, and being accountable for the result. See the full evidence →
Every finding we give you is marked.
Most AI proposals state everything with the same confidence. Ours do not. You will always know how strong the evidence is.
Each paid stage moves findings up the ladder. That is what you are buying.
We label the numbers too. Illustrative means an example of what an output could look like. Modelled means calculated from your data and stated assumptions. Measured means observed against a real baseline. We never show a modelled case as a realised result.
Independent by construction.
Formalus helps your leadership team decide where AI may create value, redesign the work and build the business case. We do not sell software, licences or implementation. Your technology partner builds the solution. Where required, we stay involved through implementation and after go-live to measure whether the expected benefits appear.
Start by finding out whether there is an opportunity worth pursuing.
A complimentary AI Opportunity Assessment. Thirty to forty-five minutes, online, with your leadership team.
You leave with a one-page summary and a heat map of where AI might pay. It names the opportunities we would look at first. If we think there is nothing worth doing, we will say so.
Book a complimentary AI Opportunity Assessment