Do we need AI for our idea?
AI is a means, not a mandatory part of a modern software project. Sometimes a model delivers exactly the flexibility you need. Sometimes it mainly makes a problem more expensive, slower and less predictable.
Does this sound familiar?
This is an especially good question when AI was named as the solution early on, while the problem itself hasn't been worked out technically yet.
The project started with "we need to do something with AI"
There is enthusiasm about the technology, but the concrete problem is still vague.
The task seems fairly predictable
You wonder whether regular rules or existing software wouldn't be enough.
Reliability is extremely important
Variable model output may be undesirable for the core of the process.
You want to avoid vendor and model complexity
AI should only be added when that dependency really delivers something.
Where do you want to be?
You want the technically simplest solution that solves the real problem well enough. Even if there turns out to be no AI in it.
Clarity about the real need
We sharpen which problem the user or organisation is actually trying to solve.
Alternatives side by side
AI is compared with rules, search functionality, automation, integrations and existing software.
No unnecessary complexity
You only choose AI when the benefits outweigh the extra uncertainty, cost and maintenance.
Why does this happen?
AI lowers the barrier to automating complex tasks, but at the same time introduces uncertainty that regular software often doesn't have.
See how we approach thisTechnology is chosen before the problem
So later you try to make the process fit the chosen solution.
Non-determinism has a price
Validation, monitoring and error handling become more important as soon as model output is part of the workflow.
Existing solutions are forgotten
An API, integration or standard software can sometimes deliver the same result faster and cheaper.
AI Reality Check
The AI Reality Check deliberately compares several technical routes. The outcome can be AI, a combination of AI and regular software, or simply: don't build with AI. Only if AI really adds something do we then determine a logical next step.
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?
9to5 software would rather earn from a good technical decision than from unnecessary complexity. We build AI, but have no interest in AI as the default answer to every problem.
View casesSoftware engineers, not just AI consultants
That's why we can also seriously assess simpler technical alternatives.
Build, buy or don't build
Not building is a valid technical conclusion.
No automatic follow-up engagement
If the Reality Check gives enough of an answer, nothing needs to follow.
What else fits your situation?
Is our AI idea technically feasible?
You have a concrete AI idea and want to know whether it can really be built with the available models, data, systems and constraints.
View use caseShould we build ourselves, use existing software or connect systems?
The problem is clear, but there are several technical routes. You want to know which combination of buying, building and integrating is wisest.
View use case