The Catchword article“Agentic AI: From Autonomous Agents to Enterprise Agentic AI Systems”by Mahei Li, Philipp Reinhard, and Jan Marco Leimeister has been published in the journal *Business & Information Systems Engineering* (BISE).

Catchword articles address emerging topics of high relevance to research and practice. They provide a scientific framework for new concepts, organize the current state of knowledge, and identify future research needs.

The published article conceptualizes the still-emerging research field of agentic AI and distinguishes it from classical autonomous agents and multi-agent systems. The authors distinguish between individual AI agents and cooperative agent systems, define six core capabilities of modern agentic AI systems, and use a corporate example to demonstrate how multiple specialized AI agents can coordinate complex tasks across systems and independently execute business processes following human approval.

In addition, the researchers develop a research agenda addressing the topics of design, governance, human-AI collaboration, and platform ecosystems. In doing so, the catchword provides a conceptual foundation for further research and the responsible use of agentic AI in businesses.

Business & Information Systems Engineering (BISE) is one of the leading international journals in business informatics and publishes groundbreaking articles at the intersection of information systems, digitalization, and management.

The full article is available at the following link: https://doi.org/10.1007/s12599-026-01009-w

Li, M.M., Reinhard, P., & Leimeister, J.M. Agentic AI. Bus Inf Syst Eng (2026). https://doi.org/10.1007/s12599-026-01009-w