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.
An Agentic AI for a New Paradigm in Business Process Development / Azarijafari, Mohammad; Mich, Luisa; Missikoff, Michele. - ELETTRONICO. - 4121:(2025), pp. 1-6. ( Ital-IA 2025: 5th National Conference on Artificial Intelligence Trieste, Italy 23-24 June 2025).
An Agentic AI for a New Paradigm in Business Process Development
Azarijafari, Mohammad
Primo
;Mich, LuisaSecondo
;
2025-01-01
Abstract
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.| File | Dimensione | Formato | |
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