# LLM4PM: A case study on using Large Language Models for Process Modeling in Enterprise Organizations

arXiv: https://arxiv.org/abs/2407.17478 · HTML: https://mlsanity.com/paper/2407.17478/

## Key facts

- Cited by 4 papers in the map (data through 14 Oct 2026).
- Builds on 3 of its 19 references that are in the map.
- First posted on arXiv 1 Jul 2024.

## Builds on (most cited first, 3 of 3)

- [Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks](https://mlsanity.com/paper/2005.11401/) (2020)
- [Large Language Models can accomplish Business Process Management Tasks](https://mlsanity.com/paper/2307.09923/) (2023)
- [Process Modeling With Large Language Models](https://mlsanity.com/paper/2403.07541/) (2024)

## Built on by (most cited first, 4 of 4)

- [On the Potential of Large Language Models to Solve Semantics-Aware Process Mining Tasks](https://mlsanity.com/paper/2504.21074/) (2025)
- [Assessing the Business Process Modeling Competences of Large Language Models](https://mlsanity.com/paper/2601.21787/) (2026)
- [LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain](https://mlsanity.com/paper/2509.00510/) (2025)
- [Large Language Models to Enhance Business Process Modeling: Past, Present, and Future Trends](https://mlsanity.com/paper/2604.14034/) (2026)

## Abstract (arXiv)

We investigate the potential of using Large Language Models (LLM) to support process model creation in organizational contexts. Specifically, we carry out a case study wherein we develop and test an LLM-based chatbot, PRODIGY (PROcess moDellIng Guidance for You), in a multinational company, the Hilti Group. We are particularly interested in understanding how LLM can aid (human) modellers in creating process flow diagrams. To this purpose, we first conduct a preliminary user study (n=10) with professional process modellers from Hilti, inquiring for various pain-points they encounter in their daily routines. Then, we use their responses to design and implement PRODIGY. Finally, we evaluate PRODIGY by letting our user study's participants use PRODIGY, and then ask for their opinion on the pros and cons of PRODIGY. We coalesce our results in actionable takeaways. Through our research, we showcase the first practical application of LLM for process modelling in the real world, shedding light on how industries can leverage LLM to enhance their Business Process Management activities.