AI-driven business process management systems: integrating large language models with process analytics and simulation
Year: 2025
Type: dissertation
Abstract: As organizations face rising complexity in their processes, analytics and Artificial Intelligence (AI) become key enablers for Business Process Management (BPM). Recent progress in Generative AI, especially Large Language Models (LLMs), opens more opportunities to address BPM use cases. Yet, the implementation and development of holistic AI-driven systems is scarcely explored. This work develops a proof-of-concept system, integrating LLMs with prescriptive analytics for the BPM domain. Specifically, the system incorporates an LLM-based architecture and a custom-developed process simulation engine. It demonstrates the capability of utilizing LLMs to enable conversational process simulation and serves as a framework for future AI-driven solutions.
Author: Efremov, Alexander
Language: English
Subfield: Management Information Systems
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7159902660