Towards AI-Driven Organizations

  • Jan Bosch
  • , Helena Holmström Olsson (Corresponding author)

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationSoftware Engineering and Advanced Applications - 51st Euromicro Conference, SEAA 2025, Proceedings
EditorsDavide Taibi, Darja Smite
PublisherSpringer
Pages280-295
Number of pages16
ISBN (Electronic)9783032042071
ISBN (Print)9783032042064
DOIs
Publication statusPublished - 2026
Event51st Euromicro Conference on Software Engineering and Advanced Applications, SEAA 2025 - Salerno, Italy
Duration: 10 Sept 202512 Sept 2025

Publication series

NameLecture Notes in Computer Science
Volume16083 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference51st Euromicro Conference on Software Engineering and Advanced Applications, SEAA 2025
Abbreviated titleSEAA 2025
Country/TerritoryItaly
CitySalerno
Period10/09/2512/09/25

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.

Keywords

  • AI-driven development process
  • AI-driven organizations
  • AI-driven products
  • Software-intensive systems companies

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