BPMN4CAI: A BPMN Extension for Modeling Dynamic Conversational AI
Quick summary
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 inco
Key takeaways
- 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).
Why it matters
The value of this work lies as much in how it was tested as in the claim itself. Sample design, baselines, uncertainty and replication help separate a laboratory result from real-world impact.
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