Beyond implementation: Sustaining AI-driven knowledge documentation in organizations

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dc.contributor.authorTreacy, Stephen
dc.contributor.authorLooney, Mark
dc.contributor.authorSemenov, Sergey
dc.contributor.authorJingare, Amey
dc.contributor.authorPrasannakumar, Pooja
dc.contributor.authorAgnihotri, Shobhit
dc.contributor.authorRowan, Wendy
dc.date.accessioned2026-07-03T15:50:03Z
dc.date.available2026-07-03T15:50:03Z
dc.date.issued2026-04-09
dc.description.abstractAs 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.en
dc.description.versionpreprint
dc.format.mimetypeapplication/pdfen
dc.identifier.authororcidTreacy, Stephen§0000-0002-3980-5565
dc.identifier.authororcidLooney, Mark
dc.identifier.authororcidSemenov, Sergey
dc.identifier.authororcidJingare, Amey
dc.identifier.authororcidPrasannakumar, Pooja
dc.identifier.authororcidAgnihotri, Shobhit
dc.identifier.authororcidRowan, Wendy§0000-0001-8941-1508
dc.identifier.citationTreacy, 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.
dc.identifier.otherORCID: /0000-0002-3980-5565/work/219630088
dc.identifier.otherORCID: /0000-0001-8941-1508/work/219630371
dc.identifier.urihttps://hdl.handle.net/10468/18997
dc.language.isoen
dc.publisherAssociation for Information Systems Electronic Library, AISeL
dc.rights© 2026, the Authors.
dc.rights.accessrightsopen access
dc.statusPeer reviewed
dc.subjectAI-enablement
dc.subjectKnowledge management
dc.subjectSystems adoption
dc.subjectOrganisational resilience
dc.subjectEmployee engagement
dc.subject[CUBS]
dc.titleBeyond implementation: Sustaining AI-driven knowledge documentation in organizationsen
dc.typeConference item
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