GenAI-CoP: A Reusable Co-Creation Process for Identifying Generative AI Agents
Journal
International Conference on Design Science Research in Information Systems and Technology (DESRIST)
Type
conference paper
Date Issued
2025-06-02
Author(s)
Research Team
IWI6
Abstract
Generative AI (GenAI) can enhance organizational processes and productivity. To realize these benefits, organizations must design GenAI agents that augment human work. A key challenge lies in making sense of the diverse forms of GenAI agents and aligning them with existing work processes. To address this, we propose a reusable co-creation process for identifying GenAI agents (GenAI-CoP) that enables organizations to involve domain experts in leveraging GenAI’s potential for their products and workflows. Grounded in action design research (ADR), our approach draws on collaboration engineering to develop GenAI-CoP. We iteratively refined and tested it through simulations, expert interviews, and pilot tests. Our research contributes to GenAI and collaboration engineering literature by introducing a reusable, bottom-up identification procedure for GenAI agents. GenAI-CoP packages facilitation expertise, allowing practitioners to execute it without prior training in tools or techniques. They gain actionable guidelines to identify augmentation potential and summarize it as GenAI agents.
Language
English
Keywords
Generative AI
Agents
Collaboration Engineering
HSG Classification
contribution to scientific community
Refereed
Yes
Publisher place
Montego Bay, Jamaica
Pages
15
Event Title
International Conference on Design Science Research in Information Systems and Technology (DESRIST)
Event Location
Montego Bay, Jamaica
Event Date
02.06.2025
Subject(s)
Division(s)
File(s)![Thumbnail Image]()
Name
JML_1013.pdf
Size
401.57 KB
Format
Adobe PDF
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