Is our AI idea technically feasible?
An idea can sound logical on paper and still turn out to be technically hard. Conversely, something can sound complicated while a small experiment quickly brings clarity. We help you see that difference early.
Does this sound familiar?
This question usually comes up when the problem is clear, but the technical possibilities have not yet been sufficiently proven.
A vendor says it can be done
But you want to know independently under which conditions that really holds.
The demos online look convincing
It's just unclear whether the same technology works with your own data and requirements.
One technical part determines the project
For example accuracy, latency, integration or processing of specific documents.
The investment after this step is large
You want to reduce uncertainty before having a full product built.
Where do you want to be?
You want enough technical evidence to decide whether it is wise to invest time and budget in the idea.
A clear feasibility verdict
You know which parts are realistic and where fundamental uncertainty remains.
The biggest technical risks
Data, integrations, reliability and operational limitations are made explicit.
A logical validation step
You know what still needs testing before you responsibly build in full.
Why does this happen?
Technical feasibility is more than the question whether a model can perform the task successfully once.
See how we approach thisDemo and production are different requirements
An impressive example says little about consistent behaviour at scale.
Your own data matters a lot
The quality and availability of information can make or break the solution.
Integrations can be decisive
Sometimes the AI part is simple and the real complexity sits in existing systems.
AI Reality Check
The AI Reality Check makes the technical assumptions explicit and determines which are plausible and which are not. If one crucial assumption can't be answered on paper yet, an AI Prototype Sprint can validate it in practice.
View this offer€1,950 excl. VAT
Fixed price · one process or up to three AI ideas
- Result
- A reasoned technical direction and build / buy / don't build advice
- Duration
- About two weeks
- Next step
- Build, validate with a prototype first, or deliberately stop
Why 9to5 for this?
We look at this as engineers. Whether a concept sounds interesting matters less than what it technically takes to make it work reliably enough.
View casesRisks visible early
You discover technical showstoppers before the full project has started.
A no is also an answer
A Reality Check may also conclude that the idea is not wise in this form.
A concrete technical route
If it is promising, you know which parts then need to be proven or built.
What else fits your situation?
AI Prototype Sprint · €6,950 excl. VAT
From one concrete AI idea to a working end-to-end prototype that lets you actually test the key technical assumptions.
View offerCan 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 caseDo we need AI for our idea?
You have a problem or product idea and suspect AI could be a solution, but first want to know whether that is technically and practically the wisest route.
View use case