Chronological, newest first.
Engineers paste drawings and technical descriptions into public AI tools because it speeds up their work. We show where know-how actually leaks and how to respond without bans that do not work anyway.
AI in maintenance is sold on the promise of "predict every failure." Here are three uses that actually work in a mid-sized plant, and two that usually end in disappointment, plus why the difference comes down to entry conditions, not the technology.
A demo looks impressive, the daily reality of a design office is different. We break down which tasks AI really takes off the engineer and which stay slideware.
A service assistant is only as good as the knowledge you feed it. This post is about that knowledge: where it lives, how it reaches the model, why retrieval sometimes fails, and how to keep quality from rotting as ticket volume grows.
Quoting from a technical drawing is a bottleneck that costs you orders. How AI cuts the cycle from days to hours, where the limits are, and what you need to make it work.
Before you launch an AI pilot, answer five questions. They tell you whether your company is ready to deploy — or just chasing a trend. A simple self-check for mid-sized manufacturers.
Jak zbudować uczciwy business case dla AI w produkcji? Które korzyści wpisywać, które pomijać, jakie ukryte koszty liczyć i jak wygląda prosty szablon ROI dla średniej firmy produkcyjnej.
An AI service assistant isn't for everyone, but a mid-sized manufacturer has exactly the data and pain profile where it pays off. What it actually does, where it works, and what not to count in the business case.
How AI-driven generation of work instructions actually works in mid-size manufacturing. Pipeline architecture, cost categories (pilot PLN 30 to 70k, full deployment 4 to 6 months), when ROI lands under 18 months, when to skip.
Five concrete AI workflows that pay off in under 18 months at a mid-sized European manufacturer. Service assistant, SOP generation, drawing-to-offer, knowledge orchestration, audit support. Numbers, pitfalls, and a 4-week framework to start.