Fast Prototyping
Prove the idea in weeks, not quarters.
Most AI investment stalls at the first gate. Nobody can say whether something will work until it has been built, and building it properly costs more than the decision is worth. A prototype moves that decision on for a fraction of the price.
We build small, working versions of the thing: a Copilot agent that handles a real task, a workflow that reads documents and returns a usable draft, a view that answers the question leadership actually asks. It runs on your data, inside the tools your people already use, with your people using it.
What you get
Problem framing session
One session that turns a broad ambition into a single testable question with a defined finish line.
Working prototype
A usable build on your own data and workflows, running in the tools your people already use.
Honest read-out
What worked, what broke, what it would cost to make it real, and what you should not build at all.
Go or no-go recommendation
A written position for the leadership team, with the numbers behind it, so the decision is made once and held.
Who it is for
- Leaders with a specific idea that needs proving before budget is committed
- Teams caught between a supplier demo and a delivery contract
- Board-level bets that need evidence rather than enthusiasm
- Anyone who has been sold a vision and wants to test it
How the work runs
- 01
Agree one question
A short session to choose the single thing worth proving, and what a useful answer would look like.
- 02
Build it properly, small
Two to four weeks of focused delivery on real data and real workflows — enough to be judged, not enough to be wasted.
- 03
Decide with evidence
A read-out to the leadership team with a clear recommendation and an honest cost of taking it further.
Questions leaders ask
How long does a prototype take?
Two to four weeks. Anything longer is a delivery project with a different name, and by then the decision has usually drifted anyway.
Do we keep the build?
Yes. The code, data connections and documentation are yours, whether the next step is us, your own team or a supplier.
What if the prototype says no?
That is a valuable result and one of the most common outcomes. Learning a use case is weak in a month is far cheaper than discovering it a year into a programme.