Lab

Research from inside the work

How does an AI system become part of everyday operations? Who decides what, and what do people need to learn? Building a system gives us a way to examine these questions as the work changes.

Build

Develop a working system around a problem in the organization.

Deploy

Put it into use with the people whose work it affects.

Study

Follow what happens through fieldwork and evaluation.

Teach

Bring the questions and methods into courses where students build and test their own ideas.

Doctoral research

I provide day-to-day research advising and work closely with doctoral researchers in the lab. Prof. Gerhard Satzger provides formal doctoral supervision for the projects below.

AI assistants for innovation and entrepreneurship

How can AI assistants support entrepreneurial learning and decisions while preserving founders’ agency?

Jonas LiebschnerSince April 2024

Traceability for the circular economy

How can data ecosystems and digital product passports help organizations keep products and materials in use?

Linda Sagnier EckertSince April 2024

AI adoption in organizations

Which organizational capabilities help people turn AI pilots into useful everyday work?

Ida MeierSince September 2025

Portraits: KIT, from the linked researcher profiles. Reuse terms.

These questions also connect to our funded research projects.

A system we learn from

InnoCompass helps early-stage founders structure their venture and examine the assumptions behind it. We use it in KIT coaching formats and as an instrument for studying entrepreneurial judgment.

At KIT

I lead the Digital Service Design & Innovation Lab at Karlsruhe Institute of Technology, within the DSI-WI4 team. Our research connects service innovation, data ecosystems, and the organization of human–AI work.