We work with banks, lenders, insurers, and law firms that bought AI and aren't seeing a return. We start with your executives building with it themselves, then do the same for the teams who run the work, all the way to changing how you run the business.
The AI adoption gap
The software isn't the problem. Only 21% of companies using AI have actually redesigned how any piece of work gets done, and that redesign is what separates the ones getting leverage from the ones getting activity. Everyone else bought the licences, ran the training, opened a channel called #ai-wins, and watched the usage numbers climb while the work itself stayed exactly the same.
Usage is up and to the right. Productivity is flat.
Why we work the way we do
If the executive team has never built anything with AI, they can't tell a real opportunity from a demo, and their people can see that. So we start with the leadership team, then work down a layer, then the layer after that. Each group gets hands on the tools, gets a way of thinking about it, and gets the fear taken out of it before they're asked to change how they work.
If your staff are being told to use AI but your leaders aren't, you don't have an AI strategy. You have a memo.
They get hands-on experience, using AI as a thinking partner rather than a basic tool, and start practising.
Underwriting, operations, claims, sales. The people whose processes actually have to change.
Building on their own workflows, with their own data, in an environment your IT team has cleared.
People change when they feel something work in their own hands, not when they are shown a slide about it.
A simple, repeatable method for briefing AI and judging what comes back.
Most quiet resistance is people worrying they will look slow, or be replaced. We name it in the open and deal with it.
Fear is the top barrier holding people back. We manage the change with hands-on exercises that show the value, not slides about it.
We work within your industry context and your language, with deep experience in regulated industries, alongside your own partners in risk, IT, and legal.
We train one person inside each team to keep it running. If we leave and it stops, we did not finish.
Every business is judged on a few numbers it has tracked for years. Days to close a file. Touches per application. Cost per unit.
We pick one with you before anything gets built, write down what it reads today, and agree what it should read in ninety days. You check it yourself.
If we can't find a number that will move, we say so and pass.
Illustrative. Yours gets set with you, in your own numbers.
See where you stand
Pick one place you've put AI to work. Tick every statement below that is true of it today.
Case study · AI Lending Lab
“Being hands-on with Claude and actively experimenting with the tool.”
“Learning how simple the tools are to use, and leaving knowing it's far less daunting than expected.”
“Working alongside an AI power user was eye opening, and it created a sense of urgency.”
“Knowing others were in the same boat, and seeing how easily we could create real solutions.”
Upcoming Executive Labs
Fifteen executives build a working bank in one day: credit, risk, underwriting, sales and marketing. One seat per company.
See the day and apply →Twelve to fifteen senior lending leaders, four tables, three or four people each, a developer sitting at every table.
See the day and apply →We bring the coaches, the laptops, the material and scenarios written around your own business. You bring your people.
Talk to us about a date →Free AI Traction Assessment
76% of executives believe their employees are enthusiastic about AI. Only 31% of employees say they are. That 45-point difference is why so many rollouts quietly stall.
It asks you five things, then asks your team the same five things. Was AI introduced as an order or an invitation. Can people admit they don't know something. Do they learn where others can see. Do they think it is meant to help them or replace them. And are you counting logins or results.
On your own, about how AI actually landed in your organisation. Nothing to prepare.
You send a link, they answer the same questions from their own seat. Ninety seconds each. Their individual answers are never shown to you.
Both sets of answers side by side, your widest gap, how you compare to other organisations of your size, and one thing that will move the needle in the next thirty days.
Individual answers stay confidential. You only ever see the aggregate, and only once at least three people have replied.
Insights
Published for around 10,000 readers. These are the three executives forward most.
Nearly everyone has the tool. Almost nobody has the conditions that let people use it well. The gap was never talent or curiosity.
Read the piece →Most executives spend under an hour a week actually using AI, which means they are setting direction for something they have never operated.
Read the piece →When people suspect that writing down what they know is training their replacement, the sharing stops. Quietly, and without anyone announcing it.
Read the piece →About us
There is no shortage of people willing to advise you on AI. There are very few who have run the change inside a regulated business, been in front of the risk committee, and had to answer for the number afterwards. That is the work we do.
Lending, banking, insurance and legal. The constraints are the whole problem, and we know which doors a build has to get through before it ships.
Companies founded and run, one acquired, plus fifteen years of enterprise transformation inside Fortune 500 accounts. Both halves matter.
Most firms hand you one of the three and leave you the joins. The joins are where AI programmes come apart, so we take the whole thing.
Questions
Training ends with a good feeling. We end with a named owner and a number that moved. The fluency work happens on your real build, never as standalone training.
A Lab is one day. A traction engagement runs up to 90 days on one workflow. A fractional seat runs for as long as the change takes, on a monthly cadence.
Yes. Teams build on their own workflows and their own data, in an environment your IT team has cleared, not a sandbox.
We say so and pass. No collapse, no engagement is a hard line, not a sales line.
Leadership teams at regulated companies: banks, lenders, insurers, and law firms.
Start here
Five minutes of your time, ninety seconds each from three of your people. You get both sets of answers side by side, the widest gap between them, and one thing that will move the needle in the next thirty days.
Take the free assessment →Bring the piece of work you would most like to fix. We will tell you whether a number would actually move, and we will say so plainly if it would not.
Book a call →