Towards AI-Driven Organizations
Paper i proceeding, 2026

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.

Software-intensive systems companies

AI-driven products

AI-driven development process

AI-driven organizations

Författare

Jan Bosch

Technische Universiteit Eindhoven

Chalmers, Data- och informationsteknik, Interaktionsdesign och Software Engineering

Helena Holmström Olsson

Malmö universitet

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

03029743 (ISSN) 16113349 (eISSN)

Vol. 16083 LNCS 280-295
9783032042064 (ISBN)

51st Euromicro Conference on Software Engineering and Advanced Applications, SEAA 2025
Salerno, Italy,

Ämneskategorier (SSIF 2025)

Programvaruteknik

Företagsekonomi

DOI

10.1007/978-3-032-04207-1_19

Mer information

Senast uppdaterat

2025-11-14