Before anything is built, let's look at what is actually available together. Which data is stored where? What is accessible, what is not, what needs approval? In many facilities, systems are separated from each other. And not everything can be easily connected. We sort this out at the beginning so that we don't waste time with approaches that fail due to data reality.

GDPR, confidentiality and role concepts are not tasks for the end. Before the first pilot, we clarify which data may flow into which solution. Who has access and how this is technically secured. The data protection framework must be in place before the first model is trained or the first interface is built.

Instead of losing ourselves in a comprehensive overall strategy, we jointly prioritize the processes with the greatest leverage. We start where the volume is high and the relief is immediately visible. One use case, one team and real operation. No endless concept phase.

A solution that does not run directly in an existing company will not prevail. We integrate automation directly into the processes that teams use every day. This requires a precise understanding of existing processes and sometimes adapting them. But this is the only way to create something that is actually used.

What worked in the pilot becomes the basis for expansion. We take with us what the real company has shown and expand from there: next use case, next team, next location. Iteratively, without a large rollout project.