Artificial Intelligence agents represent the next major revolution in the continuous technological evolution of industrial automation. In this paper, we introduce a new approach for business process design and development that leverages the capabilities of Agentic AI. Departing from the traditional task-based approach to business process design, we propose an agent-based method, where agents contribute to the achievement of business goals, identified by a set of business objects. When a single agent cannot fulfill a goal, we have a merge goal that can be achieved through the collaboration of multiple agents. The proposed model leads to a more modular and intelligent business process development by organizing it around goals, objects, and agents. As a result, this approach enables flexible and context-aware automation in dynamic industrial environments.
@article{arxiv.2507.21823,
title = {An Agentic AI for a New Paradigm in Business Process Development},
author = {Mohammad Azarijafari and Luisa Mich and Michele Missikoff},
journal= {arXiv preprint arXiv:2507.21823},
year = {2025}
}