Where the time goes
Which work takes the most hours, how much of it repeats, and what it costs you today.
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.
A strategy for the whole business, not one department’s wish list. These are the questions it answers.
Which work takes the most hours, how much of it repeats, and what it costs you today.
Which jobs AI can do reliably, which it can’t, and which need a person whatever the technology.
Whether your data is ready, which systems AI would need to work with, and where each job’s data would run.
What staff can use AI for, what must stay out of it, and who approves what.
Where an off-the-shelf tool does the job, where something built for you pays its way, and what to leave alone.
The jobs in order, each with a fixed-price first step and a pass mark every pilot has to meet before it goes further.
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.
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.
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.
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.
Each one is a fixed-price pilot, proved on your own data before anything is rolled out. We can build them with you.
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.
For the whole business. Where AI fits, what to build or buy, the rules for using it, and a roadmap.
For a few jobs done properly. Two weeks at a fixed price, ending in the three jobs most worth handing over.
One job proved on your own data, against a pass mark agreed first. The roadmap’s first steps are pilots.
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.
We agree the scope on the call, then quote a fixed price.
Prices exclude VAT where VAT applies.
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.
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.
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.
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.
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.
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
One paragraph is enough. We’ll reply with honest thoughts on whether a strategy or an audit fits better, and what it would cost.