04 / Selected work
AI that removes real work, not a chatbot for its own sake.
Most businesses are experimenting with AI tools without a clear plan for where they actually help. We start with the audit, not the technology — finding the specific, repeatable work worth automating, then building the system that does it.
The gap isn't the technology — it's execution. We bridge it: an honest audit of where AI actually helps your business, then a system built and shipped, not a slide deck.
Whatever shape your project takes, it comes out of the same team and the same standard of build.
An honest look at your actual workflows and data to find where AI creates real impact — not a sales pitch for a specific tool.
Booking, support and enquiry handling that talks back intelligently, verified live on a real client platform.
Systems that anticipate what needs attention next, rather than waiting for someone to notice a problem.
IoT data feeding directly into a platform's decisions, not sitting in a dashboard nobody checks.
The repetitive parts of a process handled automatically, freeing people for the parts that actually need judgement.
Models and automations get monitored and refined after launch, not shipped once and left.
Ten stages from first conversation to a site that's live and looked after. You'll know which one we're in at any point.
We look at your real workflows, data and priorities to find where AI actually creates value, and give you a practical roadmap, not a hype deck.
Engineers who've shipped a real AI-assisted platform, not a generic team assigned the label.
Design and build of the actual system — from architecture through launch — against the roadmap agreed upfront.
Tested against real scenarios and edge cases before it's making decisions that affect a live business.
Ongoing monitoring and refinement, since a model's usefulness doesn't stay fixed the moment it ships.
We pick the stack around what your project actually has to do — and everything we build stays yours, on standards you could hand to any other team tomorrow.
Assistants and automated flows wired into a platform where they remove real work — the approach behind our AI-assisted property maintenance build.
Booking and support flows that handle real enquiries, not a scripted demo bot.
Scheduling and monitoring that anticipate what needs attention, verified live on a real client platform.
Sensor data feeding directly into a platform's own decisions, not a separate dashboard nobody checks.
The things people want to know before they send the first message. Anything not here, just ask us directly.
It's the most common starting point. The audit exists specifically for that — we look at your actual workflows and tell you honestly where it does and doesn't help.
Depends what your business actually needs — sometimes it's a conversational interface, sometimes it's predictive scheduling or sensor-driven automation with no chat involved at all.
Both, depending on the case — sometimes an existing model integrated well is the right answer, sometimes it isn't. We recommend based on the actual problem.
Built into the architecture from the start, not addressed after the fact — this matters especially for anything handling real customer or operational data.
Ongoing monitoring and refinement — a model's usefulness drifts over time, and the retainer exists to keep it tuned.
Yes — a live AI-assisted property maintenance platform with conversational booking, predictive scheduling and connected-sensor monitoring, not a demo.
Tell us what you're building and what it has to achieve. You'll get a straight answer on scope, timeline and cost — not a sales pitch.
