This repository contains the artifacts accompanying the paper:
"PMAx: An Agentic Framework for AI-Driven Process Mining"
The artifacts demonstrate how the PMAx framework can analyze event logs using natural language queries and generate process mining insights automatically.
PMAx is a multi-agent system that combines large language models with process mining tools. It enables users to ask business-oriented questions about process data and automatically generates analyses, visualizations, and reports.
This repository contains the artifacts produced during the demonstration of the framework.
├── artifacts/ # Contains generated artifacts
├── generated_code/ # Scripts used by the Engineer
├── llm_requests/ # Overview of sent requests
├── llm_responses/ # Overview of received responses
├── questions/ # List of used questions to generate the report
└── reports/ # Answers to each of the questions and the final exported report
- The artifacts are intended for demonstration and reproducibility purposes.
- Some outputs may depend on the specific environment or model configuration used during the demonstration.
This repository is provided for research and demonstration purposes.