01
AI strategy
What AI is for in this business, in plain terms: the outcomes wanted, the problems worth solving, what to build, buy or leave alone, and how it will be governed.
06AI & transformation · AI consulting
AI consulting answers three questions for a company: where would AI actually help, are we ready for it, and in what order should we do it?
We build it to order, around the way you work, or extend and connect the one you already have.
01What it is
Most companies feel they should be doing something about AI and are unsure what. They are offered tools by every supplier, pilots that never reach production, and strategies that describe the future without saying what to do on Monday.
Useful advice is concrete. It looks at the work the company does, finds the places where reading, matching, predicting or drafting takes people's time, checks whether the data and systems can support a solution, and sets out a short list in order of value and difficulty. Then it gets built.
02What it includes
01
What AI is for in this business, in plain terms: the outcomes wanted, the problems worth solving, what to build, buy or leave alone, and how it will be governed.
02
An honest look at the starting point: the state of the data, the systems it lives in, the skills in the team, security and regulatory limits, and what must be fixed first.
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Walking through how work is really done to find the steps where a model would save time or catch errors, and equally the steps where it would not.
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Building the chosen solution to production standard: measured on your data, integrated with your systems, monitored in use and handed over with the means to maintain it.
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Fitting AI into the systems people already use, such as the ERP, the CRM and the service desk, so it appears in the workflow and not as one more tab.
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Deciding which decisions a system may take alone, which it should recommend and which stay with people, and how each is checked.
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A system built for a problem no product addresses, on the same intelligence layer and principles as our own products.
Buy, extend or build?
A general strategy firm is a reasonable choice for board-level framing. Choose an engineering company when you want a plan that will be built by the people who wrote it, with the first stage scoped and priced. The formal version of this work is our AI audit: readiness, risks, opportunities and a roadmap, in writing.
Where intelligence fits
Advice about AI should itself be testable. Where we recommend a use, we say what would have to be true of your data for it to work and how we would measure it in a first stage. Where the evidence says a use is not worth doing, the report says that too.
03What it works with
Part of a family
AI, custom software and transformation: Intelligence designed in, software that is yours alone, and the old estate made new.
04How we build it
Listen
You describe the work and where it hurts. We look at the systems and the data you have now.
Specify
A written specification: what the system does, what it does not, what it connects to and how we will know it works. A clear quote before any work starts.
Build in stages
A working piece at each stage, on real data, so you steer early. The part that matters most comes first.
Move the data
Existing records mapped, cleaned of duplicates and reconciled against the old system before anything is switched off.
Hand over
Training, documentation and the keys. Your team can run it, and we keep it working for as long as you want us to.
Customers, products, suppliers, people and stock are each defined once. A second system joins the first; it does not start a competing copy.
Your own servers, a private cloud or a cloud account that belongs to you. Customer, employee and financial data stays on infrastructure you control.
You own the code, the data, the configuration and the documentation. There is no licence fee to us and nothing stopping another team from taking it on.
05Questions
Questions about AI consulting
Data, systems, people and rules. Whether the data needed exists and is clean enough, whether your systems can supply and receive it, whether the team can run what is built, and which security and regulatory limits apply.
By looking at the work, not at the technology. The best candidates are tasks that are frequent, slow, error-prone and done on data you already hold: matching records, reading documents, answering repeated questions, forecasting.
A written, prioritised list of what to do, what each would take, what could go wrong, and a scoped first stage. It is yours to act on with us or with anyone else.
Guides
Plain-language guides on the problems this work solves.
Rather talk it through? Tell us the problem in a few lines and a person will answer it.
Ask us →Tell us how the work runs today.
How the work runs today, what the system must do and what it has to connect to. A person reads it and replies honestly about whether to buy, extend or build.
Contact
Tell us what you want the swarm to do. We'll tell you honestly whether it can — and what it would take.
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