Someone senior owns the AI programme.
Decide where AI is worth the effort. Set priorities, give each initiative an owner, and keep the work accountable to your business goals.

What this usually looks like before we arrive
Six pilots, no programme.
Every department is trying something. Nothing is measured, nothing has been retired, and nobody can say what the year returned.
The title without the mandate.
Someone has been asked to look at AI alongside their day job. They have no budget and no authority to stop anything.
The platform came before the decision.
A tool was chosen at a conference. Now the work is being bent to fit it, and the licence renews in March.
Decide, ship, then hand it over.
This is an operator’s job rather than a strategy one. The output of the first month is a ranked list with a business number against each line, not a deck.
Find the constraint, not the annoyance.
The filter is not what irritates people most. It is what breaks first if your volume doubles next quarter. Those are rarely the same thing.
Live systems before a strategy.
We ship in the highest-volume workflow first, instrumented from day one, so the next decision is made on a number rather than a feeling.
Every initiative gets an owner who is not us.
A named person inside your team, with the training and documentation to keep it running. If nobody inside owns it, it stops working the month we step back.
A written list of what to leave alone.
Part of the recommendation, not an afterthought. It is usually the section a board finds most useful, and it is the reason the rest gets approved.
How the engagement runs.
Deliberately front-loaded. If the first weeks do not change what you were about to spend money on, the engagement has not earned itself.
Map
Sit with the teams. Find where the hours go and what breaks first at double the volume. You get a ranked list with a business number against each line.
Ship
The first systems go live in the highest-volume workflow. The first is deliberately low-risk: somewhere a wrong answer costs an edit, not a customer.
Make it stick
Training, documentation and a named owner in each team. Then the case for what comes next, built from what the first systems actually returned.
After
A monthly review that keeps the programme accountable to your numbers — including an honest recommendation when something should be stopped.
Three shapes.A fixed-term engagement, an agreed number of days a month, or the function delivered by our team while you decide whether to hire permanently.
What is included, and what is not.
What this covers
- Where to start, in what order, and what to stop
- Whether your sources and data are ready to build on
- Build or buy, and a straight review of the vendor in front of you
- Team ownership, training and the handover that follows
- A monthly accountability review against your own numbers
What this is not
- Not a governance function for a regulated institution
- Not model research — we choose models, we do not train them
- Not a signed-off model risk framework for a bank or a pharma major
- Not a replacement for a permanent hire, where you need one
Related pages, if this one is not quite it.
AI systems
The builds a programme is made of.
Workshops & training
How the named owners get able to run it.
The company
The agency we rebuilt before offering to do yours.
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What should we work on?
Or ask first
We agree the days before starting and put them in the scope. The first months need the most, and the review rhythm afterwards is lighter by design.
No. We set priorities with you and hand each initiative to a named person inside your business. An AI programme that depends on an outsider being available is not a programme.
Often, and early. The most useful output of the first three weeks is usually the list of things not worth automating yet, with the reason attached.
That is a good outcome. Several engagements are shaped to prove the scope first, so you can write a real job description instead of guessing at one.
For the marketing, support and operations surface, usually yes. For the governance spine — model risk, audit, compliance sign-off — you want someone who has done that first, and we will say so rather than take the work.
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