PMAx: An Agentic Framework for AI-Driven Process Mining

arXiv (Cornell University)

Abstract

Process mining provides powerful insights into organizational workflows, but extracting these insights typically requires expertise in specialized query languages and data science tools. Large Language Models (LLMs) offer the potential to democratize process mining by enabling business users to interact with process data through natural language. However, using LLMs as direct analytical engines over raw event logs introduces fundamental challenges: LLMs struggle with deterministic reasoning and may hallucinate metrics, while sending large, sensitive logs to external AI services raises serious data-privacy concerns. To address these limitations, we present PMAx, an autonomous agentic framework that functions as a virtual process analyst. Rather than relying on LLMs to generate process models or compute analytical results, PMAx employs a privacy-preserving multi-agent architecture. An Engineer agent analyzes event-log metadata and autonomously generates local scripts to run established process mining algorithms, compute exact metrics, and produce artifacts such as process models, summary tables, and visualizations. An Analyst agent then interprets these insights and artifacts to compile comprehensive reports. By separating computation from interpretation and executing analysis locally, PMAx ensures mathematical accuracy and data privacy while enabling non-technical users to transform high-level business questions into reliable process insights.

Authors 4

1. Humam Kourani Aachen

   RWTH Aachen University · Fraunhofer Institute for Applied Information Technology

   Affiliation as printed

   Fraunhofer Institute for Applied Information Technology FIT , Schloss Birlinghoven , 53757 Sankt Augustin , Germany

   RWTH Aachen University , Ahornstraße 55 , 52074 Aachen , Germany

2. Alessandro Berti Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University , Ahornstraße 55 , 52074 Aachen , Germany

3. Gyunam Park

   Fraunhofer Institute for Applied Information Technology

   Affiliation as printed

   Fraunhofer Institute for Applied Information Technology FIT , Schloss Birlinghoven , 53757 Sankt Augustin , Germany

4. Wil M. P. van der Aalst Aachen

   RWTH Aachen University · Fraunhofer Institute for Applied Information Technology

   Affiliation as printed

   Fraunhofer Institute for Applied Information Technology FIT , Schloss Birlinghoven , 53757 Sankt Augustin , Germany

   RWTH Aachen University , Ahornstraße 55 , 52074 Aachen , Germany