Authors: U Radhakrishnan
Published in: IET Conference Proceedings CP942, 2025 (28), 69-74
Abstract
Small and medium-sized enterprises (SMEs) still depend heavily on tacit, experience-based know-how that rarely makes its way into formal documentation. This paper introduces a large-language-model (LLM)-driven conversational assistant that captures such knowledge on the shop floor and converts it incrementally and interactively into standards-compliant Business Process Model and Notation (BPMN) 2.0 diagrams. Powered by Gemini 2.5 Pro and delivered through a lightweight Gradio front-end with client-side bpmn-js visualisation, the assistant conducts an interview-style dialogue: it elicits process details, supports clarifying dialogue and on-demand analysis, and renders live diagrams that users can refine in real time. A proof-of-concept evaluation in an equipment-maintenance scenario shows that the chatbot produced an accurate ‘AS-IS’ model, flagged issues via on-diagram annotations, and generated an improved ‘TO-BE’ variant, all within about 12 minutes, while keeping API costs within an acceptable range.
Related project: tacitflow