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, Luisa
Secondo
;
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.
2025
Joint Proceedings of the Thematic Workshops at Ital-IA 2025
Aachen, Germany
Ceur
Settore ING-INF/05 - Sistemi di Elaborazione delle Informazioni
Settore IINF-05/A - Sistemi di elaborazione delle informazioni
Azarijafari, Mohammad; Mich, Luisa; Missikoff, Michele
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).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/470735
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