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BPMN4CAI: A BPMN Extension for Modeling Dynamic Conversational AI

Researchers have developed BPMN4CAI, a standard-compliant extension to the Business Process Model and Notation (BPMN) for modeling dynamic conversational AI systems, addressing the gap in representing context-sensitive interactions. The framework, built using Design Science Research methodology and demonstrated through a case study, enables adaptive decision-making, robust context management, and transparent interactions in business processes.

read1 min views1 publishedAug 28, 2026

arXiv:2608.27149v1 Announce Type: new Abstract: Conversational AI systems, such as chatbots and virtual assistants, are becoming increasingly important to digital business processes. However, the established Business Process Model and Notation (BPMN) standard faces challenges when representing dynamic, context-sensitive interactions. This paper addresses this methodological and practical research gap by developing a standard-compliant BPMN extension (BPMN4CAI). Using Design Science Research methodology, this paper develops an approach that systematically extends existing BPMN elements and incorporates specialized components. The applicability and relevance of the BPMN4CAI framework are demonstrated and evaluated through a case study. The results show that the BPMN4CAI extension facilitates adaptive decision-making processes, robust context management, and transparent interactions for Conversational AI within business processes.

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