An AI strategy that ends in working systems, not a deck

An AI strategy should change how the business runs, not sit in a slide deck. We look at the whole business, find where AI will save time and money and help you make better decisions, and turn that into repeatable processes and working systems. Your people keep the judgement calls.

What we look at

A strategy for the whole business, not one department’s wish list. These are the questions it answers.

Where the time goes

Which work takes the most hours, how much of it repeats, and what it costs you today.

What AI can and can’t do

Which jobs AI can do reliably, which it can’t, and which need a person whatever the technology.

Your data and systems

Whether your data is ready, which systems AI would need to work with, and where each job’s data would run.

Rules for using AI safely

What staff can use AI for, what must stay out of it, and who approves what.

Build, buy or leave

Where an off-the-shelf tool does the job, where something built for you pays its way, and what to leave alone.

A roadmap

The jobs in order, each with a fixed-price first step and a pass mark every pilot has to meet before it goes further.

Illustration: a whiteboard of sticky notes and arrows.

What stays with people

AI is good at work that repeats: reading, sorting, drafting, checking against rules. It’s poor at messy human judgement, and at seeing how a change in one place affects the rest of the business.

So the plan is clear about both. It names the steps that become repeatable processes, which AI runs the same way every time and a person checks where it matters. It also names the decisions that stay with your people, and how AI can give them better information to make them. Working that out takes judgement and systems thinking, which is the part we bring.

How it runs

  1. A free call

    We talk through the business and what you want from AI, and agree whether a strategy or an audit fits better. Then we send a fixed quote.

  2. Look at the work

    We talk to the people who run the business and the people who do the work, and look at your systems and a sample of real work under an NDA.

  3. The plan

    A plain-English strategy and roadmap: what to do first and why, what each first step costs, the pass mark for each pilot, and the rules for using AI safely.

  4. The first steps

    Each one is a fixed-price pilot, proved on your own data before anything is rolled out. We can build them with you.

Strategy, audit or pilot?

If you want a plan for the whole business, start here. If you’re a small team, or already know which jobs take the time, the AI opportunity audit is a quicker start. Either way, the first builds are pilots with a pass mark.

AI strategy

For the whole business. Where AI fits, what to build or buy, the rules for using it, and a roadmap.

AI opportunity audit

For a few jobs done properly. Two weeks at a fixed price, ending in the three jobs most worth handing over.

AI pilot

One job proved on your own data, against a pass mark agreed first. The roadmap’s first steps are pilots.

Live

What a working system looks like

For a warehouse analytics platform used by US third-party logistics companies, we built an assistant that answers plain-English questions about the warehouse. It can only call tested read tools, so every number matches a screen and links to it. That’s what we mean by a working system: it does a real job, and anyone can check its work.

Read the case: What a working system looks like

What it costs

  • AI strategy Fixed quote after a free call

    We agree the scope on the call, then quote a fixed price.

Prices exclude VAT where VAT applies.

Questions

Do we need a strategy, or just a few jobs done?

Either can be the right start. If you want a plan for the whole business, with rules everyone follows, start with a strategy. If you already know which jobs take the time, or you’re a small team, the AI opportunity audit looks at a few of them in two weeks.

Will we get a slide deck?

You get a written plan and a roadmap, in plain English. What matters is what happens next: the first steps are fixed-price pilots, each with a pass mark, so the plan turns into working systems.

Who needs to be involved?

Someone who can make decisions for the business, and the people who do the work day to day. They know where the time really goes.

Does it cover how staff use tools like ChatGPT or Copilot?

Yes. The plan includes rules for using AI safely: what it can be used for, what data must stay out of it and who approves what. If you already pay for Copilot, ChatGPT or Claude, we look at how to get more from them before suggesting anything new.

What does it cost?

A fixed price, quoted after a free call. Each first step on the roadmap has its own fixed price, so you know the cost before you commit to any of them.

What happens to our data?

We look at it under an NDA, and under a data processing agreement where personal data is involved. The plan says where each job’s data would run: a hosted model through a UK or EU endpoint, your own cloud account, or a private model on UK hardware. How we handle security and data

Get in touch

Tell us what you want AI to do for the business.

One paragraph is enough. We’ll reply with honest thoughts on whether a strategy or an audit fits better, and what it would cost.

All fields are required unless marked optional.

0 of 4,800 characters

We use your details only to reply. See our privacy policy.