Research

KI-ULTRA research project

Introducing AI changes more than a technical application. Responsibilities, workflows, skills and participation need to fit together.

Historical KI-ULTRA project graphic showing funding information and participating organisations.
Complete historical project overview; organisation marks in their research context at the time. KI-ULTRA / Hawk IVO GmbH (opens in a new tab)

Historical news about this contribution

Background and objective

Introducing AI changes more than a technical application. Responsibilities, workflows, skills and participation need to fit together. KI-ULTRA investigated this organisational transformation with companies, connecting research at Fraunhofer IAO and the University of Stuttgart with company laboratories. The complete historical graphic shows the project context, funding information and participating organisations.

Approach and context

Published outputs include a guide to strategy and change, a guide to running AI projects and an Evaluation Toolkit. These connect organisational readiness with the practical delivery of a specific initiative. Objectives, participation and evaluation can be addressed alongside the selection and introduction of a technical solution.

Hawk’s contribution

Hawk participated in KI-ULTRA with workforce and shift planning as its application context. In the KI-ULTRA project, funded by the KI-Observatorium (AI Observatory), Fraunhofer IAO, the University of Stuttgart and company labs examined transformation processes for introducing AI. The project produced guidelines and an evaluation toolkit.

In October 2026, Cedric Oette talked with Dr. Jan-Paul Leuteritz about the experience gained in KI-ULTRA in the Fraunhofer podcast “Bridging Innovation”. The news item Fraunhofer podcast: Introducing AI, but how? summarizes the conversation.

What this means in practice

For planning teams, the connection between technology and work organisation is especially useful. Tasks, responsibilities and evaluation criteria can be described before implementation, while feedback from everyday work informs the introduction. The historical graphic records the collaboration at that time; its organisation marks belong to the research project and its documented context.

Questions for your own planning

  • Which planning decision needs support, and who is responsible for it?

  • Which requirements, skills and operational rules must be considered together?

  • How are employees involved and proposals evaluated in everyday work?

The original sources document the research project or publication at the time. This context connects the historical contribution with the questions facing today’s planning teams.

Sources and further reading

  1. Fraunhofer IAO: KI-ULTRA (opens in a new tab)
  2. Guideline on strategy and change for the use of AI (opens in a new tab)
  3. Guideline on carrying out AI projects (opens in a new tab)
  4. Bridging Innovation podcast: KI einführen, aber wie? Das Projekt KI-ULTRA (in German) (opens in a new tab)

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