We build AI that quietly runs the work no one has time for.

One to two weeks from kickoff to delivery, depending on the size of your business and how many processes we look at. In that time we sit down with you and the team, map how work actually flows day to day, and pinpoint where time and money are leaking. You come away with a prioritised list of AI opportunities, rough ROI estimates for each, and a 90-day action plan you can act on with us or on your own. We work around your team's calendar, not the other way round, so it doesn't pull people off their day jobs. Most of the effort is ours. We usually need a few short conversations and a representative look at how you work, not a big time commitment from you.

There's no minimum. We mostly work with SMEs, but we're happy to help businesses of any size, and we'll always be straight about whether we're the right fit. Smaller teams often see the fastest wins: when a few hours a week are handed back, that's a real dent in the working week and it shows up almost immediately. Larger organisations tend to see the bigger financial ripple: the same saving multiplied across more people and more processes. What matters more than headcount is whether you have repetitive, rules-based work worth automating and a willingness to change how a few things get done. If AI isn't the right answer for you yet, we'll tell you, rather than sell you something.

Yes. Everything we build is designed to connect to the platforms you already run on, rather than replace them: your office suite (Microsoft 365 or Google Workspace), your CRM, your file storage, your project and comms tools. We won't ask you to rip out systems that are working. The idea is to sit AI on top of your existing stack so it fits how your team already operates, not to hand everyone another new tool to learn. One honest caveat: if a process is already broken or messy, we'll say so, and we'll usually suggest a cleaner version before we automate it. There's little point bolting intelligence onto a workflow that isn't working, because you'd just be speeding up the mess.

ChatGPT and Copilot are excellent general-purpose assistants, but they're generic: they know the public internet, not your business. They've never read your proposals, seen your processes, or met your clients, so you spend time re-explaining context and double-checking answers. What we build is grounded in your business: your own documents, your workflows, your team, connected to the tools you already use. Instead of a blank box you prompt from scratch each time, you get a system that already knows how your business runs and slots into your day. The practical difference is reliance: a general chatbot is something people occasionally try and then drift away from, whereas a system built around your actual work becomes something the team depends on. We often build on top of those same underlying models; the value is in the wiring around them.

It depends on what we build, so we don't quote a one-size figure. A few things move the number: the size and complexity of what you're automating, how many people and systems it touches, how clean and accessible your data already is, and whether you want a single focused build or a broader system that grows over time. A tightly scoped automation of one clear process sits at the lower end; a business-wide system with several moving parts sits higher. The AI Audit is the low-commitment way to find out: it puts rough numbers and priorities against your specific situation, so most clients start there and decide what to build next from the findings rather than a guess. When we do quote, it's scoped and agreed up front, so there are no surprises.

Honestly, sometimes the answer is "not yet", and we'll tell you if that's the case. But for most SMEs the value isn't some far-off transformation; it's hours handed back every week on the admin, reporting, and repetitive work that quietly drains the team. The return tends to come from three places: time your people stop losing to busywork, work that gets done consistently instead of slipping through the cracks, and capacity you free up without adding headcount. The AI Audit exists precisely to answer this before you spend anything on a build: it puts rough numbers against where AI could help and where it couldn't, so you decide on evidence rather than hype. Smaller teams often see the quickest, clearest wins, because a few hours saved is a bigger share of the week.

Farnham, in Surrey. But we work remote-first with clients right across the UK, so where you are usually isn't a constraint. Most of what we do, from the AI Audit through to build and handover, works well over video and shared tools, which keeps things fast and keeps costs down. Where being in the room genuinely helps, we travel: for local businesses we're happy to spend regular time on-site with the team, and for clients further afield (including in the US) we come out for kickoffs, on-site work, and in-person installs where it adds real value. Remote-first, UK-wide is the default; in person is there whenever it earns its place.

Fair question. It's the first thing most owners ask about the Business Intelligence Layer. The short version: your documents stay yours. Wherever possible we design it so your files stay inside systems you already control (your own Microsoft 365 or Google Workspace, your own storage) rather than being copied somewhere new, and access is limited to the people you decide should have it. The AI models we build on don't learn from your data: your proposals, contracts, and internal files aren't used to train a public model. Before anything goes live we walk you through exactly where your data sits and who can reach it, and we work within whatever security and compliance requirements your business already has. If you have specific obligations (client confidentiality, sector rules) tell us early and we'll build around them.