Abstract
Artificial intelligence (AI) has the capacity to fundamentally reconfigure knowledge practices. Despite significant investment in knowledge management (KM), the useful integration of AI into existing infrastructures remains complex. This paper addresses: How do organisations meaningfully integrate AI into operational practices, in light of the existing organisational knowledge? Employing grounded theory with the Gioia methodology on 1 AI success stories, an exhaustive list of 1st-order concepts was systematically abstracted into coherent 2nd-order concepts, which in turn informed our final aggregate dimensions. Findings indicate that AI integration manifests in four distinct strategic archetypes, shaped by three key organisational choices - (1) the scope of the knowledge process (horizontal vs. vertical), (2) the workflow configuration (automation vs. augmentation), and (3) the role of human verification. This yields four strategies: (1) human-verified vertical augmentation, (2) human-verified horizontal augmentation, (3) human-verified horizontal automation, and (4) non-human-verified horizontal automation.
Recommended Citation
Balage, Hasini and Sedera, Darshana, "Integrating Artificial Intelligence with Organisational
Knowledge: A Framework for Practical and Theoretical
Advancement" (2025). ACIS 2025 Proceedings. 108.
https://aisel.aisnet.org/acis2025/108