Orchestrating Generative AI-Based Multi-Agent Systems for Complex Knowledge Work Automation : A Design Science Research Approach

Titelangaben

Fetzer, Dominik ; Gimpel, Henner ; Schoch, Manfred:
Orchestrating Generative AI-Based Multi-Agent Systems for Complex Knowledge Work Automation : A Design Science Research Approach.
In: Proceedings of the 59th Hawaii International Conference on System Sciences (HICSS). - Lahaina, Hawaii, USA , 2026
ISBN 9780998133195

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Abstract

The pursuit of automation has been a key objective throughout industrial history. Advancements in information technology, such as robotic process automation, accelerated this progress for knowledge work. However, complex knowledge work was off-limits to automation. The emergence of generative artificial intelligence (GenAI) coupled with multi-agent systems (MAS) pushes the boundaries of what is technically feasible and economically viable. While several technical frameworks for developing GenAI-based MAS are available, the systems’ orchestration remains largely based on ad-hoc trial and error. The paper addresses this gap by developing design knowledge for GenAI-based MAS. Based on design science research, we present a morphological box of orchestration options and derive four propositions regarding GenAI-based MAS orchestration. Our research contributes to academic and practical understanding by offering design knowledge for GenAI-based MAS development, facilitating the automation of complex knowledge work.