Building a Generative AI Toolkit for Leveraging Knowledge Processes: The GAIK Project Report
Kudryavtsev, Dmitry; Khan, Umair Ali; Kauttonen, Janne; Kaski, Timo; Remes, Jukka; Wuokko, Anne; Yangarber, Roman; Pivovarova, Lidia; Wu, Yiheng; Seppänen, Marko; Myllärniemi, Jussi; Sorri, Krista (2025)
Kudryavtsev, Dmitry
Khan, Umair Ali
Kauttonen, Janne
Kaski, Timo
Remes, Jukka
Wuokko, Anne
Yangarber, Roman
Pivovarova, Lidia
Wu, Yiheng
Seppänen, Marko
Myllärniemi, Jussi
Sorri, Krista
Academic Publishing
2025
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe2026020912042
https://urn.fi/URN:NBN:fi-fe2026020912042
Tiivistelmä
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.
