EMBEDDING AI IN ERP WORKFLOWS: A NEW PARADIGM FOR INTELLIGENT DECISION SUPPORT
DOI:
https://doi.org/10.34218/IJCET_16_04_007Keywords:
Artificial Intelligence (AI), Enterprise Resource Planning (ERP), Machine Learning, Predictive Analytics, AI-ERP Integration, Digital TransformationAbstract
The integration of Artificial Intelligence (AI) into Enterprise Resource Planning (ERP) systems is reshaping enterprise operations by embedding intelligence directly into core workflows. This paper explores how AI technologies such as machine learning, natural language processing, and robotic process automation are transforming traditional ERP platforms into adaptive, predictive, and context-aware decision-support systems. By embedding AI into ERP workflows, organizations can automate routine processes, uncover actionable insights, and enhance strategic decision-making in real time. Through a multidisciplinary review of current literature and analysis of implementation case studies across industries, this study identifies key frameworks, integration strategies, and performance outcomes associated with AI-driven ERP modernization. The paper also addresses critical challenges including data governance, model explainability, and organizational readiness. By articulating a conceptual model for AI-embedded ERP systems, the research establishes a foundation for future innovation and offers practical guidance for technology leaders seeking to achieve operational agility and competitive advantage. The findings underscore the emergence of a new paradigm in enterprise systems one where intelligent automation is not merely an enhancement but a core capability that redefines how value is created and delivered.
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