AI-Assisted Process Mining for Context-Sensitive Analysis Support

Brützke, Paul; Killewald, Robin; Franzoi, Sandro; vom Brocke, Jan


Zusammenfassung

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.

Schlüsselwörter
Process Mining; Context; Large Language Model; AI Assistant; AI Agents



Publikationstyp
Forschungsartikel in Sammelband (Konferenz)

Begutachtet
Ja

Publikationsstatus
Veröffentlicht

Jahr
2025

Konferenz
33rd European Conference on Information Systems (ECIS)

Konferenzort
Amman

Buchtitel
Proceedings of the 33rd European Conference on Information Systems

Herausgeber
Krasnova, Hanna; Kranz, Johann; Lindgren, Rikard

Erste Seite
1

Letzte Seite
16

Verlag
AIS eLibrary

Ort
United States