Webinar - Online
AI on the shop floor: from quick reaction to structured problem solving
How teams can move from short-term firefighting to sustainable problem solving with support from AI and digital workflows.
Type
Webinar
Date
Thursday, 7 May 2026
Time
11:00 a.m. (CEST), approx. 1 hour
Language
German
About the webinar
This webinar is hosted by Munich Consulting Group. Workerbase is participating as a guest co-presenter.
Downtime, unclear causes, fragmented knowledge, and patchy documentation are still everyday realities in many production settings. At the same time, pressure is rising to respond faster, document issues properly, and support people on the shop floor effectively.
Our approach
In this webinar we use a typical shop floor scenario to show how AI can be applied concretely in production. The focus is not on technology for its own sake, but on how relevant data, documentation, and workflows can be brought together so that faster, better day-to-day decisions become possible.
Following a concrete path from a machine alarm through AI-assisted root-cause analysis to structured documentation, you will see where the practical value lies and what needs to be in place to achieve it.
We look not only at the technical solution, but also at two critical success factors: data quality and acceptance on the shop floor. Effective AI is not just a model— it comes from sensible use in real production operations.
What to expect
You will get:
- Context for typical shop floor challenges, from breakdowns to lack of transparency
- A concrete use case around machine alarms, troubleshooting, and documentation
- Insight into how AI, system data, and existing documentation work together
- Why data quality is essential for reliable results
- Orientation on what is possible for response time, knowledge retention, and reducing downtime
- A practical view of how to involve your people in rolling out new solutions
Who this is for
This webinar is especially relevant for:
- Production leads and plant management
- Industrial engineering
- Operational excellence and lean
- Digital manufacturing and smart factory
- Maintenance and engineering leadership
- IT and OT at the interface with production
A hands-on look at AI, data, and shop floor processes.
