AI implementation
We build AI as a layer on top of what you already have: your ERP, machine data and company documents. You don’t have to throw anything away, and if plain automation without AI is enough for your problem, we will tell you. We always start at your company.
First, we make sure AI makes sense
Artificial intelligence is not a goal in itself, but a tool like any other software. So we first test the idea in a pilot with your real data, and you decide based on numbers and employee feedback. We will show you a working prototype within 14 days.
Where AI makes sense in a manufacturing company
Usually where people retype documents by hand, search for information across several systems or wait for a report.
Documents without retyping
Invoices, orders, delivery notes and material certificates are read automatically and the data is written to the ERP. People only check what doesn’t match, and the system points it out to them.
An overview without waiting for a report
How much was produced last week or which orders are running late. Management asks as if in a chat and gets the answer from ERP or production data.
Camera-based quality control
A camera on the line watches for defects, counts pieces and checks that packaging is complete. A traceable photo of every product can be kept for possible complaints.
At Petainer we started with an audit on site
We first went through production, shipping, administration and systems on site. The result is COALO, a system that merged three internal systems into one, and the investment in our work paid back within 16.3 months.
“All important data and information can now be found together by Petainer's staff and management. They can share parts with each other without getting lost.”
How we work
First, we make sure it makes sense. Only then do we build. You usually get a working prototype within 14 days.
An audit at your company
We go through production, shipping, administration and your systems, and write down where AI would save time or prevent errors and what it would cost.
Working prototype within 14 days
We test a clearly defined idea on a prototype and in a pilot with your real data.
Decisions based on numbers
After a few weeks you have numbers and employee feedback in hand, and you decide based on them.
Rollout and training
We fine-tune AI with the people who will work with it, train them and keep track of whether they really use it.
Frequently asked questions
Where will our data be?
Depending on how sensitive the data is, we run everything on your servers, in a European cloud, or through secured business accounts with AI providers. We set up access rights, logging and internal rules for working with AI in line with the EU AI Act.
Do we have to change our systems because of AI?
No. We build AI as a layer on top of what you already have: your ERP, machine data and company documents. We connect OpenAI, Gemini, Claude, Llama and other language models.
What if our problem doesn’t need AI?
We will tell you. If plain automation without AI is enough, we will suggest it. Our goal is to bring AI into companies sensibly and pragmatically.
How much does AI implementation cost?
We always price it individually: the cost depends on the scope, the chosen model, complexity, the connection to the UI and testing. We work on monthly time reports or for a pre-agreed fixed price. You get a rough estimate after the free initial consultation.