Optimizing Business Processes with AI, BPMN 2.0, and Workflow Management Systems


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Authors

  • A. Rakaeva SAP Siemens AG
  • A. Rakaeva 1L.N. Gumilyov Eurasian National University

DOI:

https://doi.org/10.32523/2789-4320-2024-4-129-142

Keywords:

аrtificial іntelligence, workflow мanagement systems, BPMN 2.0, business process automation, digital transformation

Abstract

This research discusses the integration of artificial intelligence (AI), workflow management systems (WMS) and business process models and notes (BPMN) to improve the efficiency of modern business processes. Advanced technologies can significantly increase productivity, reduce costs and improve decision-making. The data analysis and automation capabilities of artificial intelligence enable companies to solve problems faster, optimize resource allocation and make better decisions. In combination with WMS, AI optimizes processes, automates workflows and increases operational efficiency.

BPMN 2.0 is a clear, standardized method for visualizing and modeling business processes that helps improve communication and consistency between teams. This structured approach enables companies to effectively document, analyze and improve their workflows.

Research shows the challenges companies face by using technologies, that also includes data quality issues, resistance to change and the need for a skilled workforce. Analyzing article, the authors consider the potential of quantum computing and developments in artificial intelligence algorithms and emphasize the importance of continuous innovation and adaptation for companies to remain competitive in an ever-evolving technology landscape.

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Published

2024-12-31

How to Cite

Rakaeva, A., & Rakaeva, A. (2024). Optimizing Business Processes with AI, BPMN 2.0, and Workflow Management Systems. ECONOMIC Series of the Bulletin of the L N Gumilyov ENU, (4), 129–142. https://doi.org/10.32523/2789-4320-2024-4-129-142

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