Year: 2025
Type: article
Abstract: Process mining adoption and its value realization in organizations is often inhibited by limited transferability of insights into actionable results: Users require extensive contextual knowledge and sophisticated skillsets to derive insights from process mining analyses. Novel generative artificial intelligence (AI) capabilities can aid users in conducting such analyses through natural language queries, thereby offering the potential to add context, assist analysis, and transform insights into actions. Hence, we conducted a design science research study to develop an artifact that facilitates AI-assisted process mining analysis. We evaluated the artifact by interviewing 14 process mining experts to determine its suitability, usefulness, and impact. We find that the artifact enables novel use cases for new and existing user groups by offering context-sensitive process mining analysis support. Our work demonstrates how generative AI can augment process mining in organizations and highlights its potential for automatically integrating contextual knowledge into process mining analyses.
Authors: Brützke, Paul, Killewald, Robin, Franzoi, Sandro, vom Brocke, Jan
Institution: University of Münster
Language: English
Subfield: Management Information Systems
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7016916016
FWCI:
Cites:
Cited by:
Related to: