mlsanityData to 7 Oct 2026

Conversational Process Modeling: Can Generative AI Empower Domain Experts in Creating and Redesigning Process Models?

arXiv 2304.11065 ↗First posted 19 Apr 2023cs.CL cs.AIcited by 4

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Abstract (arXiv)

AI-driven chatbots such as ChatGPT have caused a tremendous hype lately. For BPM applications, several applications for AI-driven chatbots have been identified to be promising to generate business value, including explanation of process mining outcomes and preparation of input data. However, a systematic analysis of chatbots for their support of conversational process modeling as a process-oriented capability is missing. This work aims at closing this gap by providing a systematic analysis of existing chatbots. Application scenarios are identified along the process life cycle. Then a systematic literature review on conversational process modeling is performed, resulting in a taxonomy of application scenarios for conversational process modeling, including paraphrasing and improvement of process descriptions. In addition, this work suggests and applies an evaluation method for the output of AI-driven chatbots with respect to completeness and correctness of the process models. This method consists of a set of KPIs on a test set, a set of prompts for task and control flow extraction, as well as a survey with users. Based on the literature and the evaluation, recommendations for the usage (practical implications) and further development (research directions) of conversational process modeling are derived.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 14 of its 99 references that are in the map. First posted on arXiv 19 Apr 2023.

Builds on

14 of 99 references.

References · 14

  1. 2022Large Language Models are Zero-Shot Reasonerscited by 4,323
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  10. 2023Just Tell Me: Prompt Engineering in Business Process Managementcited by 17
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2 more
  1. 2020A Model-based Chatbot Generation Approach to Converse with Open Data Sourcescited by 3
  2. 2020Chatbot integration in few patternscited by 3

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Cited by year

Citing papers per year: 2023: 1; 2024: 1; 2025: 2.

4 papers.

  1. 2023Large Language Models can accomplish Business Process Management Taskscited by 34
  2. 2024WONDERBREAD: A Benchmark for Evaluating Multimodal Foundation Models on Business Process Management Taskscited by 11
  3. 2025BPMN Assistant: An LLM-Based Approach to Business Process Modelingcited by 2
  4. 2025What is the Best Process Model Representation? A Comparative Analysis for Process Modeling with Large Language Modelscited by 1