The problem
AI is now part of many products - but often as a chat window at the edge that nobody uses. Users don’t want to operate technology, they want to reach their goal faster: find the right model, understand a feature, back up a decision.
At the same time, more and more research starts with an AI assistant instead of a search engine. If you are not represented correctly there, you are not recommended.
Discovery & exploration
The best AI products do not start with a model but with a good question. That is why we come in where much is still open:
- Reality-check sprint - in 2-4 weeks from a workshop to a clickable prototype and an honest recommendation on what is worth it. How it works
- Exploration - design variants, test them with users and drop what does not hold.
- Enablement - your team learns along the way instead of just receiving results.
Designers and researchers lead discovery and concept. Engineers are involved from the start. And because we come from delivery, we think about what can be built from day one - so your budget goes into what holds.
Our approach
We design and build digital products in which AI works where it helps the user:
- AI Experience Design - flows in which people and AI work well together: guided advice instead of filters, traceable suggestions, clear approvals.
- AI Websites - pages that assemble content around the question and context. One input field instead of ten menu items. This website shows what that looks like: what it knows about your visit →
- MCP / AI Discovery - a Model Context Protocol server through which assistants query your services, products and content directly and correctly.
- Building Blocks - a toolkit of content models and UI components that website, agent and app all draw from.
How we work
- Understand - users’ tasks and questions before we talk about technology.
- Design - prototypes tested early with people - ideally together with you and your users - and components that people and machines can read.
- Run - measure how the product is used and keep developing it - not hand it over after launch and forget it.
We work the way that suits your organisation: embedded in your team with product owner, UX and content - or as a self-directed team with agreed milestones and deliverables. The principles apply to any product with many variants, options or questions - whether a vehicle, a machine, an insurance tariff or a medical device.
What you get
- A product in which AI makes a noticeable difference - not just a demo.
- Visibility in AI assistants - controlled and up to date.
- A foundation of content and components that enables new channels without a rebuild.
A project ends at launch. A product only starts there.
