How Audi Scales Artificial Intelligence in Manufacturing
Sagodi, André; van Giffen, Benjamin; Schniertshauer, Johannes; Niehues, Klemens; vom Brocke, Jan
Research article (journal) | Peer reviewedAbstract
For organizations to realize maximum value from artificial intelligence (AI), they need the capability to scale it and must consider scaling throughout all stages of an AI innovation project. But AI scaling presents significant challenges, especially for manufacturing companies. We describe how Audi, a leading automotive manufacturer, scaled its crack detection AI solution and unlocked long-term business value in manufacturing. Based on lessons learned at Audi, we provide recommendations and actions for CIOs and senior leaders who seek to capture value through scaling AI solutions.
Details about the publication
Journal: MIS Quarterly Executive
Volume: 23
Issue: 2
Page range: 185-204
Article number: 5
Status: Published
Release year: 2024
DOI: 10.17705/2msqe.00094
Link to the full text: https://aisel.aisnet.org/misqe/vol23/iss2/5/
Keywords: Artificial Intelligence; Manufacturing
Authors from the University of Münster
| vom Brocke, Jan |
Distinctions received for the publication
| Recipient of the 2025 AIS Senior Scholar Best IS Publication Award for the paper “How Audi Scales Artificial Intelligence in Manufacturing“ Awarded by: MIS Quarterly Executive Award given to: vom Brocke, Jan; Sagodi, André; van Giffen, Benjamin; Schniertshauer, Johannes; Niehues, Klemens Announced at: 15/12/2025 | Date of awarding: 15/12/2025 Type of distinction: Research award or other distinction |