- Look at three things: AI projects in production that you can verify, a clear way of handling data and human review, and a contract that leaves you the code and the data.
- Ask for a case similar to yours and, if possible, to speak with the people who use it. A demo is not enough.
- Be wary of anyone who promises percentage savings before seeing your data, and of anyone who never says when AI is not needed.
- Start with a small first phase at a clear price: it is the cheapest way to see how a vendor works.
All frequently asked questions →
Proof to ask for
Four questions a good software house welcomes.
- A project in production, not a demo: how long it has been running and how many people use it.
- Where the data goes, which model providers they use, whether data is used to train models.
- How they test AI answers before and after every change.
- Who works on the project: names and roles, not just the salesperson.
The contract
Code and data should stay with the company, or be licensed to it with clear rights, and you should have access to the repository from day one.
Warning signs
A quote that arrived without questions about your work. A percentage saving promised before seeing the data. No case where the vendor said no. A mandatory subscription to use software you paid to have built.
Yempik publishes its cases, each with its status, and its indicative prices: they are the first things to ask us for too.
More questions
A large consultancy or a small software house?
What matters is who actually works on the project. A large firm offers more continuity; at a small one the person who sold it often builds it. Either way, ask for names.
Does the vendor have to be local?
Not necessarily. What matters is where the data ends up: ask in which countries it is processed, under which contracts, and whether it stays in Europe.
Answer edited by Raffaele Zarrelli, co-founder of Yempik, written with Claude. Prices, timelines and cases are the ones Yempik publishes; this page was last updated on 8 November 2026.
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