Paper
BPMN4CAI: A BPMN Extension for Modeling Dynamic Conversational AI
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). Us · Authors: Björn-Lennart Eger, Daniel Rose, Barbara Dinter · Published 2026-08-27 · arXiv:2608.27149
- Published
- 2026-08-27
- Authors
- 3
- arXiv
- 2608.27149
- Category
- cs.AI
Abstract
arXiv:2608.27149
Björn-Lennart Eger, Daniel Rose, Barbara Dinter
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.