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

Title data

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

Official URL:

Abstract in another language

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.

Further data

Item Type:	Article in a book
Refereed:	Yes
Keywords:	Generative Artificial Intelligence; Multi-Agent Systems; Orchestration; Automation
Institutions of the University:	Faculties > Faculty of Law, Business and Economics > Department of Business Administration Research Institutions Research Institutions > Affiliated Institutes Research Institutions > Affiliated Institutes > Branch Business and Information Systems Engineering of Fraunhofer FIT Research Institutions > Affiliated Institutes > FIM Research Center for Information Management
Result of work at the UBT:	No
DDC Subjects:	000 Computer Science, information, general works > 004 Computer science 300 Social sciences > 330 Economics
Date Deposited:	16 Feb 2026 09:28
Last Modified:	16 Feb 2026 09:28
URI:	https://eref.uni-bayreuth.de/id/eprint/96237