An Agentic AI for a New Paradigm in Business Process Development

TL;DR

This paper introduces an agentic AI approach for business process development that uses goal-oriented, modular, and collaborative agents to enable flexible, intelligent automation in industrial settings.

Contribution

It presents a novel agent-based framework for business process design, shifting from task-based to goal-based, enhancing modularity and collaboration among agents.

Findings

Enables goal-oriented business process modeling.

Supports modular and collaborative agent interactions.

Facilitates flexible automation in industrial environments.

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.