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Towards AI-Driven Organizations
Department of Computer Science and Engineering, Chalmers University of Technology, Gothenburg, Sweden; Department of Mathematics and Computer Science, Eindhoven University of Technology, Eindhoven, The Netherlands.ORCID iD: 0000-0003-2854-722X
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT).ORCID iD: 0000-0002-7700-1816
2026 (English)In: Software Engineering and Advanced Applications: 51st Euromicro Conference, SEAA 2025, Salerno, Italy, September 10–12, 2025, Proceedings, Part III / [ed] Davide Taibi; Darja Smite, Springer Nature , 2026, p. 280-295Conference paper, Published paper (Refereed)
Abstract [en]

There are few technologies, if any, that have the potential to change the software-intensive industry to the extent that artificial intelligence (AI) is currently doing. Across industries, companies are adopting these technologies to improve productivity, to increase efficiency and to automate tasks. In products, AI is used for optimization and mass-customization. However, there are few examples of companies that use AI to reinvent and fundamentally change their existing practices. In this paper, we present results from an expert interview study in which we explore how AI is affecting the ways in which companies operate and what steps companies evolve through when advancing their use of AI in their development processes, in their products and in their business processes. The contribution of the paper is two-fold. First, we present the interview results that reflect the adoption and use of AI technologies. As part of our interviews, we also identify a set of key challenges that companies experience. Second, we present an inductively derived three-pronged maturity model that describes how companies transition from traditional towards AI-driven organizations.

Place, publisher, year, edition, pages
Springer Nature , 2026. p. 280-295
Series
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349 ; 16083
Keywords [en]
AI-driven development process, AI-driven organizations, AI-driven products, Software-intensive systems companies
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:mau:diva-79882DOI: 10.1007/978-3-032-04207-1_19Scopus ID: 2-s2.0-105016696471ISBN: 9783032042064 (print)ISBN: 9783032042071 (electronic)OAI: oai:DiVA.org:mau-79882DiVA, id: diva2:2003032
Conference
51st Euromicro Conference on Software Engineering and Advanced Applications, SEAA 2025, 10-12 Sep 2025, Salerno, Italy
Available from: 2025-10-02 Created: 2025-10-02 Last updated: 2025-10-03Bibliographically approved

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Olsson, Helena Holmström

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