Build an AI concept or prototype quickly
Sometimes you know exactly what you want, but not yet whether it will work well enough technically. Then a full production project is too early. We first build the smallest serious prototype that lets you test the key assumptions.
Does this sound familiar?
A prototype helps most when the biggest uncertainty is technical and won't go away with another meeting.
The concept is already fairly sharp
You know which user needs to be able to solve which problem.
One technical assumption determines a lot
For example answer quality, document interpretation or agent behaviour.
Building in full right away feels too early
There is still too much uncertainty for a larger fixed scope.
A real demo would settle the discussion
Stakeholders can decide better when they actually see the system working.
Where do you want to be?
You don't want slides about what AI could do. You want something that works, so you can make a real technical decision.
A working core flow
The most important user flow works from start to finish.
Technical assumptions are tested
You see whether model, data and integrations work together well enough.
A clear follow-up decision
After the prototype you know better what production requires and whether building on makes sense.
Why does this happen?
A prototype should remove uncertainty. If it tries to be the full product already, it becomes unnecessarily slow and expensive.
See how we approach thisScope grows easily
As soon as something works, ideas for accounts, dashboards and extra features appear.
Production requirements distract from the core question
The first goal is proving that the most important AI assumption works.
Technical feasibility is hard to predict on paper
Some model and data questions you simply have to try.
AI Prototype Sprint
The AI Prototype Sprint is the primary route here: one clear use case, one working end-to-end flow and at most the most important integrations. Afterwards you get not only the prototype but also advice on a possible production version.
View this offer€6,950 excl. VAT
Fixed price · one concrete AI idea
- Result
- A working end-to-end prototype with tested technical assumptions
- Duration
- One bounded Sprint of about three weeks
- Next step
- A reasoned decision about production, for example via Build & Integrate
Why 9to5 for this?
We build a prototype so you can base a technical decision on it. It is as big as it needs to be to test the uncertainty honestly.
View casesWorking instead of theoretical
The most important technical assumption is actually implemented.
Scope stays deliberately small
No complete product posing as a prototype.
The follow-up is a new choice
Even after a successful sprint you are not obliged to continue.
What else fits your situation?
Build & Integrate · Fixed price after scoping
You know what needs to be built. We build it professionally, connect it to your existing software and make sure it can be handed over production-ready.
View offerHave an AI agent built
You know which task or workflow the agent has to perform. Now it needs to be designed well, connected and made reliable enough for real use.
View use caseAdd AI to existing software, an app or SaaS
The product already exists. Now you want to add AI functionality without losing sight of the existing architecture, user experience and reliability.
View use case