Multi-Agent AI

Titelangaben

Allmendinger, Simeon ; Bonenberger, Lukas ; Endres, Kathrin ; Fetzer, Dominik ; Gimpel, Henner ; Kühl, Niklas:
Multi-Agent AI.
Bayreuth, Germany , 2025

Volltext

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Abstract

Multi-Agent AI (MAAI) represents a foundational shift in the automation
of knowledge work, moving beyond static workflows toward adaptive systems
of interacting AI-based agents. These agents perceive, reason, and coordinate
in real time to address complex, context-rich tasks that traditionally require
human expertise. Drawing on the conceptual roots of process automation,
agentic information systems, and AI, this paper introduces a structured, five-
component framework that conceptualizes MAAI as a layered architecture based
on: foundation model, data-centric perception and action, dynamic orchestra-
tion, agent-integrated workflow, and user interface. This framework disentangles
the technical, organizational, and human-facing dimensions of MAAI, offering
researchers and practitioners a systematic lens to analyze and design agent-
based AI automation. The framework further structures three research pathways
focused on advancing technical capabilities, enabling organizational integration,
and addressing socio-technical implications such as fairness, accountability, and
labor transformation. Together, these contributions establish a foundation for
interdisciplinary inquiry into how MAAI reshapes work, coordination, and digital
value creation.