Author ORCID Identifier
Siar Sarferaz: https://orcid.org/0009-0006-3142-8589
Abstract
Enterprise Resource Planning (ERP) systems digitalize business processes across organizations to enhance automation and optimization. They integrate data and workflows from sales, marketing, finance, supply chain, manufacturing, services, procurement, and human resources, thereby serving as a central system of record for many organizations. ERP systems typically support tens of thousands of business processes and maintain data across thousands of tables, which creates significant potential for embedding Artificial Intelligence (AI) to enhance automation and optimization. However, incorporating AI into ERP systems is challenging due to their complexity, which involves hundreds of millions of lines of code and the need to support diverse industry- and region-specific requirements. Accordingly, this paper addresses the following research question: How can organizations systematically develop and operate (DevOps) AI business applications in ERP systems? To answer this question, we conduct a gap analysis, derive business requirements, design and implement a DevOps framework, and evaluate it using real-world ERP use cases.
DOI
10.17705/1CAIS.05758
Recommended Citation
Sarferaz, S. (2025). Implementing AI into ERP Software. Communications of the Association for Information Systems, 57, 1396-1426. https://doi.org/10.17705/1CAIS.05758
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