Prove that it works before you turn it into a complete product.
You roughly know what you want, but not yet whether the technology behaves in practice as you hope. In one bounded Sprint we build the key flow and test the assumptions that determine whether investing further is wise.
When is this offer a fit?
When the idea is clear enough to build, but still needs to be proven before you go to production.
Build an AI concept or prototype quickly
The idea is concrete enough to build, but you first want to show that the most important technical assumption actually works.
View use caseCan AI perform this task reliably enough?
You can see that AI can in principle perform the task, but want to know whether the quality is predictable enough for serious use.
View use caseHow do we add AI to our existing product?
You see opportunities to make your current software smarter, but first want to determine which AI functionality really adds something, technically and commercially.
View use case
Afterwards you have...
A working end-to-end prototype
The key user flow actually works with the chosen AI technology and integrations.
Technical assumptions are tested
You know better where quality, reliability and integrations are or aren't feasible.
A decision about production
You know what it takes to turn the prototype into a serious product or production component.
What is included in this offer?
One clear use case, one primary flow and a controlled amount of technology around it.
What we do
We build enough to test the real technical risk, without building the complete end product right away.
- Sharpening scope and success criteria
- Defining the technical architecture
- Building a working prototype
- Up to two key external integrations
- Delivering one primary end-to-end flow
- Configuring the model, agent or instructions
- Validating the key technical assumptions
- Evaluating reliability at a high level
What you get
A tangible prototype plus enough technical clarity for a follow-up decision.
- Working end-to-end prototype
- Technical architecture direction
- Validated core flow
- Demo of the result
- Technical documentation
- Advice for production and next steps
Out of scope
A Prototype Sprint proves the core. Production hardening is a separate step.
- Full production guarantees or SLAs
- Extensive scalability and operationalisation
- Unbounded integrations or multiple main flows
- Full product development beyond the agreed use case
How it works.
- 01
Define use case + success criterion
We pin down which technical assumption this Sprint needs to prove.
- 02
Set up architecture + flow
We choose the shortest technical route that validates the real problem.
- 03
Build + evaluate
We deliver the end-to-end flow and test where the solution is fragile.
- 04
Demo + production advice
We show what works, what is still uncertain and what a next phase needs.
Why should you believe this?
A good prototype is more than a pretty click-through demo. It answers the technical question that decides whether the concept can work.
View casesWe test the real thing
We test real integrations, data flows and model behaviour where relevant.
Small enough to learn
We keep you from building half a product before the key assumption is proven.
Ready for a real follow-up decision
Continuing, adjusting or stopping can all be a good outcome.