Innovation
Rapid AI Prototyping: Working Demos in Hours, Not Weeks
The cost of testing an AI idea has collapsed. How rapid AI prototyping turns six-week discovery projects into working demos and same-day decisions.
June 9, 2026 · 8 min read
Workshops & Rapid Prototyping
Working AI prototypes in hours, not weeks.
A one-day workshop that turns your best AI idea into a working prototype you can test before you invest.
Every organization has a list of AI ideas. Most of them stay ideas, because the gap between a slide and a working system feels expensive to cross. It usually isn't.
Our prototyping workshops close that gap in a day. You bring the problem and the people who live with it; we bring the engineering. By the afternoon you're using a working prototype built on your own scenario — close enough to the real thing to tell you whether it's worth building.
Some prototypes earn a budget. Some die in the room. Both results are worth having, because the alternative is spending six months and six figures to learn the same thing.
Who this is for
- Product and operations leaders with a shortlist of AI ideas and pressure to show progress this quarter.
- CTOs who want working evidence in hand before taking a build proposal to the executive team.
- Founders and innovation leads who think better around working software than around slide decks.
What we do
What you get.
Pre-workshop scoping
A structured call to pick the right problem, define what 'working' means for you, and arrange the sample data so the day starts at speed.
Facilitated build day
A full-day session with your team. We frame the problem in the morning and put a working prototype in your hands by the afternoon.
The working prototype
A functioning system built on your scenario and, where practical, your data. You keep it, along with the code and the prompts behind it.
Build or no-build recommendation
A short written assessment of what the prototype proved, what taking it to production would cost, and whether we think you should.
How it works
The engagement, step by step.
- 01
Scoping call
Thirty minutes to choose the problem and confirm a prototype can teach you something useful. If it can't, we say so, and you've spent half an hour finding out.
- 02
Preparation
We agree the success criteria, gather sample data under NDA, and design the build plan so the workshop day is spent building, not setting up.
- 03
Workshop day
Your team and ours, one day, one problem. You leave with a working prototype and a clear-eyed view of what it proved and what it didn't.
- 04
Decision support
Within a week you receive the build or no-build recommendation with costs and timelines, ready to take to your board or budget holder.
Outcomes
What changes for you.
- A working prototype in hours — evidence, not opinion, on whether the idea holds.
- A validated build or no-build decision before you commit production budget.
- A team upskilled by building alongside practitioners rather than watching a demo.
- A costed path to production for the ideas that earn it.
Questions
Asked often, answered honestly.
Who is this for?
Teams with a concrete problem and a candidate AI idea — not a general curiosity about AI. If you're earlier than that, our strategy or executive training services are a better starting point, and we'll say so on the scoping call.
What happens to the prototype after the workshop?
It's yours. You keep the code, the prompts and the documentation, with no obligation to engage us further. Some clients take it to production with their own team; others ask us to harden it. Either path is fine.
How long does it take?
The workshop itself is one day. With scoping and preparation, allow two to three weeks from first call to build day, and one more week for the written recommendation.
What do you need from us to start?
A problem worth testing, the two to five people who know it best in the room on the day, and whatever sample data we agree during scoping. We handle the rest.
Related thinking
From the Insights desk.
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Every turning rewards the prepared.
Tell us where you are. We will be candid about what comes next — whether or not we end up working together.