Beyond implementation: Sustaining AI-driven knowledge documentation in organizations

Treacy, Stephen; Looney, Mark; Semenov, Sergey; Jingare, Amey; Prasannakumar, Pooja; Agnihotri, Shobhit; Rowan, Wendy

Beyond implementation: Sustaining AI-driven knowledge documentation in organizations

Files

UKAIS_-_Treacy_et_al._2026_-_Beyond_Implementation.pdf(385.05 KB)

Date

2026-04-09

Authors

Treacy, Stephen

Looney, Mark

Semenov, Sergey

Jingare, Amey

Prasannakumar, Pooja

Agnihotri, Shobhit

Rowan, Wendy

Publisher

Association for Information Systems Electronic Library, AISeL

Abstract

As organisations become increasingly dependent on digital workflows, the risk of knowledge loss grows amid rapid staff turnover and shifting work practices. While AI is positioned as a solution to these challenges, sustaining the adoption of AI-driven documentation systems remains problematic, often undermined by low engagement, inadequate training, and fragmented practices. This paper examines how organisations can embed AI-enabled knowledge documentation into everyday work to preserve institutional memory and strengthen resilience. Drawing on a mixed-methods study within a global technology company, including surveys (n=75) and four multi-level focus groups (n=23), the research develops a cyclical adoption framework that integrates software selection, system integration, motivation, and training. Findings highlight the socio-technical dynamics of adoption, where sustained use depends as much on organisational culture and workforce engagement as on system capability. The paper advances understanding of how intelligent digital technologies reshape work practices and enable more resilient forms of organisational learning.

Keywords

AI-enablement , Knowledge management , Systems adoption , Organisational resilience , Employee engagement , [CUBS]

Citation

Treacy, S, Looney, M, Semenov, S, Jingare, A, Prasannakumar, P, Agnihotri, S & Rowan, W 2026, Beyond implementation: Sustaining AI-driven knowledge documentation in organizations. in UK Academy for Information Systems Conference 2026 (UKAIS 2026), Sheffield, United Kingdom, 9-10 April 2026. Association for Information Systems Electronic Library, AISeL.