AI-enabled autonomous ERP: redefining business operations and decision-making

This article examines the transformative impact of artificial intelligence on Enterprise Resource Planning (ERP) systems, marking a paradigm shift from traditional manual approaches to autonomous operations. It consolidates findings from multiple studies across various sectors, including educational institutions, manufacturing organizations, and public agencies. AI-enabled autonomous ERP systems demonstrate considerable improvements in operational efficiency through machine learning, predictive analytics, robotic process automation, and natural language processing technologies. These intelligent systems deliver significant benefits in continuous learning and adaptation, anomaly detection, risk mitigation, and predictive decision support. However, implementation challenges persist in data quality and integration, security and compliance concerns, and establishing appropriate ethical frameworks and human oversight mechanisms. Despite these challenges, organizations adopting autonomous ERP systems report enhanced business agility, cost efficiency through intelligent automation, and competitive advantages through predictive capabilities. It suggests that as implementation methodologies mature and AI capabilities advance, autonomous ERP adoption will accelerate across industries, fundamentally redefining business operations and decision-making processes.

Authors

Publication Details

Journal
World Journal of Advanced Engineering Technology and Sciences
Published
2025-05-06
DOI
https://doi.org/10.30574/wjaets.2025.15.2.0555
Citations
1
Primary Topic
Scheduling and Optimization Algorithms
Type
article
Field-Weighted Citation Impact
1.24
Controls
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article

AI-enabled autonomous ERP: redefining business operations and decision-making

Giridhar Raj Singh Chowhan
1 citations
World Journal of Advanced Engineering Technology and Sciences
Scheduling and Optimization Algorithms
1.24
article

AI-enabled autonomous ERP: redefining business operations and decision-making

Giridhar Raj Singh Chowhan
article en
1 citations

Abstract

This article examines the transformative impact of artificial intelligence on Enterprise Resource Planning (ERP) systems, marking a paradigm shift from traditional manual approaches to autonomous operations. It consolidates findings from multiple studies across various sectors, including educational institutions, manufacturing organizations, and public agencies. AI-enabled autonomous ERP systems demonstrate considerable improvements in operational efficiency through machine learning, predictive analytics, robotic process automation, and natural language processing technologies. These intelligent systems deliver significant benefits in continuous learning and adaptation, anomaly detection, risk mitigation, and predictive decision support. However, implementation challenges persist in data quality and integration, security and compliance concerns, and establishing appropriate ethical frameworks and human oversight mechanisms. Despite these challenges, organizations adopting autonomous ERP systems report enhanced business agility, cost efficiency through intelligent automation, and competitive advantages through predictive capabilities. It suggests that as implementation methodologies mature and AI capabilities advance, autonomous ERP adoption will accelerate across industries, fundamentally redefining business operations and decision-making processes.

World Journal of Advanced Engineering Technology and SciencesVol. 15(2)
Openalex Percentile: Top 20%
Scheduling and Optimization Algorithms
1.24
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