Building a Generative AI Toolkit for Leveraging Knowledge Processes: The GAIK Project Report

While Generative AI (GenAI) has the potential to transform knowledge work, its proper application in business remains a challenge. To obtain benefits from GenAI, companies must navigate a complex landscape of technologies and best practices for their implementation. The selection, integration, and implementation of specific GenAI solutions are complex, particularly for small and medium-sized enterprises. To address this issue, we have launched a research and development project named GAIK (Generative AI-enhanced Knowledge Management) to develop a business-oriented GenAI toolkit to improve three processes: knowledge capture, synthesis, and access. The toolkit will include software components (modules and code libraries), guidelines, process models, templates, and reusable knowledge models, enabling companies and technology providers to develop easy-to-deploy knowledge management solutions using business data. This paper describes the envisioned toolkit, its potential use cases, and the required research activities to develop and apply it.

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Publication Details

Journal
European Conference on Knowledge Management
Published
2025-08-29
DOI
https://doi.org/10.34190/eckm.26.2.3701
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00

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article

Building a Generative AI Toolkit for Leveraging Knowledge Processes: The GAIK Project Report

Jukka Remes, Umair Ali Khan, Yiheng Wu, Dmitry Kudryavtsev et al.
European Conference on Knowledge Management
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Building a Generative AI Toolkit for Leveraging Knowledge Processes: The GAIK Project Report

Jukka Remes, Umair Ali Khan, Yiheng Wu, Dmitry Kudryavtsev, Krista Sorri, Lidia Pivovarova, Roman Yangarber, Janne Kauttonen, Marko Seppänen, Jussi Myllärniemi, Timo Kaski, Anne Wuokko
article en

Abstract

While Generative AI (GenAI) has the potential to transform knowledge work, its proper application in business remains a challenge. To obtain benefits from GenAI, companies must navigate a complex landscape of technologies and best practices for their implementation. The selection, integration, and implementation of specific GenAI solutions are complex, particularly for small and medium-sized enterprises. To address this issue, we have launched a research and development project named GAIK (Generative AI-enhanced Knowledge Management) to develop a business-oriented GenAI toolkit to improve three processes: knowledge capture, synthesis, and access. The toolkit will include software components (modules and code libraries), guidelines, process models, templates, and reusable knowledge models, enabling companies and technology providers to develop easy-to-deploy knowledge management solutions using business data. This paper describes the envisioned toolkit, its potential use cases, and the required research activities to develop and apply it.

European Conference on Knowledge ManagementVol. 26(2)
University of Helsinki (FI), Tampere University (FI), Haaga-Helia University of Applied Sciences (FI)
European Commission, European Regional Development Fund
Openalex Percentile: Top 62%
Big Data and Business Intelligence
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