Business Process Management: The Synergy of Intelligent Automation and AI-Driven Workflows

Business Process Management: The Synergy of Intelligent Automation and AI-Driven Workflows explores the transformative potential of combining intelligent automation with artificial intelligence (AI) to stream-line and optimize workflows in modern organizations.The article examines how BPM systems are evolving to integrate AI-driven decision-making, predictive analytics, and machine learning models, resulting in im-proved efficiency, reduced operational costs, and enhanced adaptability to changing business environments.Key topics include the role of AI in automating repetitive tasks, enabling smarter resource allocation, and fostering a data-driven culture.This synergy not only accelerates digital transformation but also empowers businesses to stay competitive in an era of rapid technological advancement.Practical use cases, benefits, and challenges of implementing AI-enabled BPM are also discussed, offering actionable insights for organi-zations aiming to modernize their operations.

Publication Details

Journal
International Research Journal of Modernization in Engineering Technology and Science
Published
2024-12-22
DOI
https://doi.org/10.56726/irjmets65186
Citations
3
Primary Topic
Business Process Modeling and Analysis
Type
article
Field-Weighted Citation Impact
1.59
Controls
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article

Business Process Management: The Synergy of Intelligent Automation and AI-Driven Workflows

3 citations
International Research Journal of Modernization in Engineering Technology and Science
Business Process Modeling and Analysis
1.59
article

Business Process Management: The Synergy of Intelligent Automation and AI-Driven Workflows

article en
3 citations

Abstract

Business Process Management: The Synergy of Intelligent Automation and AI-Driven Workflows explores the transformative potential of combining intelligent automation with artificial intelligence (AI) to stream-line and optimize workflows in modern organizations.The article examines how BPM systems are evolving to integrate AI-driven decision-making, predictive analytics, and machine learning models, resulting in im-proved efficiency, reduced operational costs, and enhanced adaptability to changing business environments.Key topics include the role of AI in automating repetitive tasks, enabling smarter resource allocation, and fostering a data-driven culture.This synergy not only accelerates digital transformation but also empowers businesses to stay competitive in an era of rapid technological advancement.Practical use cases, benefits, and challenges of implementing AI-enabled BPM are also discussed, offering actionable insights for organi-zations aiming to modernize their operations.

International Research Journal of Modernization in Engineering Technology and Science
Industry, innovation and infrastructure
Openalex Percentile: Top 12%
Business Process Modeling and Analysis
1.59
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