AI prototype
A time-boxed build that shows how the solution actually works on your data and inside your flow, instead of an estimate on paper.
- from idea to something you can actually touch
- 3–4 wksfrom idea to something you can actually touch
- one real workflow, not a demo
- One flowone real workflow, not a demo
- firm end date and the right to stop
- Fixed scopefirm end date and the right to stop
One prototype answers one question
Pick the question you need answered.
"We think AI can handle this, but nobody has shown it on our data."
We build one real flow on your own or representative data and run real cases through it.
Passes when the flow handles your real cases
Unknowns crossed off, week by week
Tap a week to see who does what — and what stops being a question.
- What are we actually proving?
- Can the tech handle our data?
- Will anyone actually use it?
- What does production cost?
We set goal, measure and a clear boundary for what gets built.
You point out the right people and give access to data.
Six parts, fixed scope
Tap a part to see what it means.
Scoping — One case, one goal, one measure. Written before the build starts.
Three ways out — all of them cheap
Fixed scope, firm end date. Pick an outcome to see what happens.
The prototype held. We move to implementation with known scope and a known route to production.
Part of the prototype cost can be deducted if you order within a defined period.
Questions about the prototype
A prototype answers whether the solution can work, with fixed time and clear scope.
- A pilot runs in live operation with real users over a longer period.
- We recommend the prototype first because it costs less and delivers the decision faster.
Sometimes, but parts are usually rebuilt for production.
- We are clear from the start about what was built to prove a point and what must be rebuilt to hold up in production.
Questions about the prototype
A prototype answers whether the solution can work, with fixed time and clear scope.
- A pilot runs in live operation with real users over a longer period.
- We recommend the prototype first because it costs less and delivers the decision faster.
Sometimes, but parts are usually rebuilt for production.
- We are clear from the start about what was built to prove a point and what must be rebuilt to hold up in production.
The natural next step
Build one small thing for real
It is cheaper than investigating a big thing forever. Tell us which case you want to prove and we will propose a scope you can stop after the first phase.
Build your AI plan