A chat interface, already built
Conversations, history, files and shared prompts — deployed and working in your environment before we write a line of custom code.
Custom AI setup, end to end
We install a working setup — chat your team will actually use, the models you choose, behind your own login — then connect it to the systems you work in every day. Including the ones that were never built to be connected.
No platform licence. No lock-in. It runs in your environment.
less time advisers spend hunting for product and compliance answers
of customer enquiries resolved without a human, at 92% satisfaction
the tools we build are handed over as code you own, not rented back to you
Most of an AI rollout is plumbing everybody rebuilds badly. We arrive with that part finished, so the work goes into the parts that are actually yours.
Conversations, history, files and shared prompts — deployed and working in your environment before we write a line of custom code.
Claude, GPT, Gemini, or open models on hardware you control. Different models for different jobs, and swapping one out later doesn't mean rebuilding anything.
We put an account layer over the top — your SSO if you have it, a simple one if you don't — so who can reach which system follows your org chart, and every action is logged.
An assistant that can't touch your systems is a search box. Every connection is a real tool the model can call, with its own permissions and its own audit trail.
The systems most businesses already run on. These we switch on rather than write.
Tools we've already written for systems like yours — a booking platform, a claims system, an industry database — reshaped to your fields, your rules, your terminology. You pay for the fitting, not the build.
The process that exists nowhere else because it's how your business actually works. We write it, document it, and hand it over as code you own.
Much of what a business runs on has no usable API — the freight portal, the twenty-year-old ERP, the industry system with a login page from another decade. That's usually where the integration project quietly dies. It's the part we solve.
A browser extension sits with the people who do the job and records what the application actually sends while they do it — the real requests underneath the screen, not the clicks on top of it.
From that traffic we work out the interface the vendor never published: the endpoints, the parameters, how a session is held, what a valid response looks like.
Then we build a real tool against it. A proper integration, driving the system directly — not a script pretending to be a mouse, and nothing that breaks when a button moves.
We only ever observe systems you already have the right to use, with your people, on your say-so. Nothing is captured outside the applications you nominate.
Not a workshop with the executive team. We watch the actual tasks, list the actual systems, and find the handful of jobs where this pays for itself first.
Chat, models and logins go live in your environment. Your team can use it before a single custom integration exists — and that's the point.
Off-the-shelf connections go in immediately. The awkward ones get the observation work. Each tool lands in the assistant as it's finished, so value arrives piece by piece rather than all at the end.
Documentation, source and credentials are yours. Vendors change their systems and models improve — we stay on to keep the tools working and add the next ones.
You describe the work your team repeats and the systems that don't talk to each other; we tell you honestly which parts we can automate, which we can't, and what it would take.