Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/334879 
Year of Publication: 
2026
Citation: 
[Journal:] Process Science [ISSN:] 2948-2178 [Volume:] 3 [Issue:] 1 [Article No.:] 1 [Publisher:] Springer International Publishing [Place:] Cham [Year:] 2026
Publisher: 
Springer International Publishing, Cham
Abstract: 
Business process improvement (BPI) is a crucial value-adding stage of business process management, as it introduces process changes to eliminate flaws and enhance performance. However, the inherent demands of BPI on domain knowledge, process expertise, time, and creativity in conjunction with a scarcity of adequate computational support, hinder organizations from fully leveraging BPI. Recognizing this gap, recent research calls for all types of contributions to process improvement and innovation systems (PIISs), from design knowledge to software artifacts. Leveraging the latest developments in generative artificial intelligence, increased availability of process execution data, and extensive collections of BPI knowledge, we propose a new technical approach to supporting the generation of process improvement ideas in BPI initiatives. To this end, we develop the Process Improvement Copilot – a retrieval-augmented generation (RAG)-enhanced PIIS that generates context-specific process improvement ideas and provides related justification, thereby facilitating their further evaluation and implementation. This research contributes a novel technical approach to automated BPI by exploring a RAG-based use case, designing a corresponding system architecture, developing a software prototype to demonstrate its technical feasibility, and evaluating the Process Improvement Copilot’s usefulness in a naturalistic workshop setting.
Subjects: 
Business process management
Business process improvement
Process mining
Generative artificial intelligence
Retrieval-augmented generation
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article
Document Version: 
Published Version

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