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AI that earns its place.

Practical automation and intelligence, proven small before it scales.

  • Proof of concept first
  • Measured outcomes
  • Human review built in
  • Your data stays private

Scope

What we build

01

Assistants and chatbots on your own data

Answers drawn from your documents, not generic scripts.

02

Automated intake, quoting and follow-up

Every enquiry answered, qualified and routed, day and night.

03

Document processing and extraction

Turn PDFs, emails and scans into structured data.

04

Agents connected to your tools

AI that reads and writes inside the systems you already run on.

05

Predictive models and analytics

Forecasts for demand, churn and capacity, built on your data.

06

Vision and language prototypes

Fast proofs of concept for image and text-heavy workflows.

A careful path

How we de-risk AI.

  1. 01

    Prove it small

    A one to two week proof of concept on real data.

  2. 02

    Measure it

    Agree success measures before building.

  3. 03

    Keep humans in control

    Review steps, logging and clear fallbacks.

  4. 04

    Protect your data

    Minimal access, and providers and settings chosen to keep your data private.

We do not add AI for show.

Process

How it works

The same four steps on every engagement, with progress you can see weekly.

  1. 01

    Discover

    We learn your goals, users and constraints, then define scope and success measures.

  2. 02

    Design

    Wireframes and a clickable interface so you see it before we build it.

  3. 03

    Build

    Weekly demos on a live staging link. Clean, documented, tested code.

  4. 04

    Launch and grow

    Deployment, handover, training and optional ongoing support.

Stack

Tech we use

  • React
  • Next.js
  • TypeScript
  • Node.js
  • Python
  • PostgreSQL
  • Tailwind
  • Flutter
  • Cloudflare

In practice

A demo project that shows how this kind of work comes together. Concept builds are labelled and never presented as client work.

Concept buildAI

Intakely

An AI assistant that answers, qualifies and books clinic enquiries around the clock.

Next.jsTypeScriptNode.jsPostgreSQL

FAQ

Good questions

That is the first thing we test. A one to two week proof of concept on your real data answers it before you commit to a build.

We minimise what leaves your systems, choose providers and settings that do not train on your data, and log what the AI does so it can be audited.

We design with human review steps and clear fallbacks. The system escalates to a person whenever confidence is low.

Have a product in mind? Let's scope it.

Book a free 30-minute call. You will leave with a clear plan, whether we work together or not.