Providing Domain Knowledge for Process Mining with ReWOO-Based Agents

Lecture notes in business information processing, pp. 663–676

Abstract

Abstract Process mining practitioners often face the challenge of interpreting complex process data and driving process improvements with limited expertise in process optimization, tools, and the application domain of the process. This study explores the integration of LLM-based agentic frameworks in process mining to bridge this gap and democratize access to process optimization. We developed a Proof-of-Concept that leverages a Reasoning WithOut Observation (ReWOO)-based agent to perform process discovery, problem identification, generate ecosystem domain knowledge, and propose potential process improvements. Our experiments on a range of business processes suggest that LLM-based agent systems can insert meaningful domain knowledge into process mining tool interactions.

Authors 2

1. Peter van der Putten corresponding Aachen

   Leiden University

   Affiliation as printed

   LIACS, Leiden University, Leiden, The Netherlands

2. Hajo Alexander Reijers

   Utrecht University

   Affiliation as printed

   Department of Information and Computing Sciences, Utrecht University, Utrecht, The Netherlands