AI in the process: where models take work off the table — and where they do not

AI pays off when it is clear which task the model takes on and who keeps ownership. In the workshop we separate useful automation from hype: data quality, assurance, compliance and integration into existing processes.

Christian Busse works from concrete use cases in Bitbrew projects — from assistance in editorial and support workflows to limits where rules, approvals or domain logic must win. Not a tool demo day, but a basis for what to do next.