AI Consultancy & Integration
Most AI projects fail before a line of code is written, because nobody mapped what the business actually needed first. We start with how your business really runs, find the tasks that eat time without adding judgement, and automate those. Everything else stays exactly as it is.
Why most of it fails
We have yet to see a small business held back by the capability of the models. The failures are almost always the same three things, and all of them are fixable before anything gets built.
A tool gets bought to fix a problem nobody has written down. Six weeks later it is quietly abandoned, and the business concludes AI does not work for them. What actually failed was the brief.
Most small businesses hold the same customer in the website, a spreadsheet, the email tool and somebody's inbox. AI applied to fragmented data produces confident, fluent, wrong answers. Joining the data up is usually the first real job.
The impressive demo automates the interesting 5% while your people keep doing the tedious 95% by hand. The wins that matter are almost always dull: retyping, chasing, filing, reformatting, looking things up.
What we actually build
Not a menu of everything AI can theoretically do — the six that repeatedly earn their cost in businesses of ten to seventy-five people.
The enquiry that arrives by email, gets retyped into a spreadsheet, then retyped again into the quote, then again into the invoice. We connect those steps so the information is entered once and flows. This is the least glamorous item on the list and almost always the most valuable.
Supplier invoices, delivery notes, certificates, purchase orders, application forms. AI reads them, pulls out the fields that matter and files them where they belong — searchable, checkable, and without anyone typing a reference number again.
AI inside the software you already use, rather than another subscription in another browser tab. Drafting replies in your CRM, summarising a customer's history before a call, flagging the quote that has gone quiet. It works where your people already are.
An assistant that has read your price list, your terms, your product specifications and your past quotes — so it answers from your business rather than from the internet. Hosted on our own UK infrastructure, so your documents stay yours.
Most chatbots exist to stop people reaching you. A good one answers the eight questions you get every day, at 9pm, accurately — and hands over cleanly the moment it is out of its depth, rather than looping.
The Monday morning figures that somebody currently spends two hours building from three exports. Pulled together automatically, in the format you already read, with the numbers reconciled before you see them.
How we work
You are never asked to commit to a build before you know what it is worth. Each stage produces something you own outright, and you can stop at the end of any of them.
A day on site watching how the work actually gets done — not how the process document says it does. We talk to the people doing it, because they already know where the time goes.
A written report costing every system and subscription, mapping where your data lives, and ranking what to automate by saving against effort. Yours to keep, and to take elsewhere if you want to.
We build the highest-value item first and put it in front of real users inside a few weeks. One working thing beats a roadmap. If it does not deliver, we have both learned that cheaply.
Twice a year we sit down and look at what has changed — in your business and in what the tools can do. The second is moving quickly enough that an annual review is already too slow.
Being explicit about both halves of this is worth more than any testimonial, because it answers the question you are actually asking.
Ten to seventy-five people is the range where this works best. Below ten there is usually not enough repeated process to be worth automating, and we will tell you that rather than take the work. Above seventy-five you generally have an IT function and different problems.
No, and we would say so if it did. The work we automate is retyping, chasing, filing and looking things up — the parts of a job nobody would defend. If a business wants to cut headcount it does not need us to do it. What we are actually selling is the same team getting through more without breaking.
Raise it early, because it is a fair question. Funded schemes run on cohorts, eligibility criteria and shared advisor capacity, and much of non-metropolitan Warwickshire may not qualify at all. Simon has been through their process directly. The bigger difference is that they hand over a report and stop — we can build what we recommend.
Whichever suits the job. Claude is our primary model and the one we use most in client systems; we also work with ChatGPT, Gemini and Grok. We are not a reseller for any of them, which means we have no reason to recommend one over another except fit.
It is the right question to ask first. Where we process personal data you get a data processing agreement, not just an NDA. Where documents are sensitive we host on our own UK infrastructure rather than sending them to a third-party platform. And a genuine benefit of the audit is that it documents the AI your staff are already quietly using on their own accounts.
The first working thing is usually live within a few weeks of the build starting, not months. We deliberately pick the highest-value item first and get it in front of real users, because one thing working tells you more than a plan ever will.
The fixed-price way to find out whether any of this is worth doing, before you commit to a build.
See what's includedWhen the answer is that your four disconnected tools should be one system that fits how you work.
See what we buildWhen the front door needs to match — fast, found, and owned rather than rented.
More on websitesTwo days, a fixed price, and a written report you own outright — whether or not you build anything with us afterwards.
