The Role of Artificial Intelligence in Enterprise Resource Planning Systems within Organizations
DOI:
https://doi.org/10.5281/zenodo.21296631Keywords:
artificial intelligence, enterprise resource planning, management, decision-making, Microsoft Dynamics 365, Copilot, automation, predictive analytics.Abstract
Artificial intelligence (AI) is no longer a future concept in business-it is already embedded in the daily operations of organizations worldwide. This paper examines what happens when AI becomes part of Enterprise Resource Planning (ERP) systems and, more specifically, how this changes the way managers make decisions. The study combines a review of relevant management theory, a detailed case analysis of Microsoft Dynamics 365 Business Central and its AI assistant, Copilot and a survey conducted among 10 professionals who use the system in their everyday work and perform at least one of the basic Management roles and responsibilities. The results are clear: AI-integrated ERP systems have significant working time, reduce errors in routine processes, and give managers access to better, faster information. Survey respondents reported an average saving of around eleven hours per week. At the same time, the research highlights that technology alone is not enough – data quality and user readiness are equally important. The paper argues that the real value of AI in ERP lies not in replacing human judgment but in giving managers more room to use it.
References
Agrawal, A., Gans, J., & Goldfarb, A. (2018). Prediction machines: The simple economics of artificial intelligence. Harvard Business Review Press
Ashtalkoska, I. (2023). Managing results. AUE-FON University, Skopje.
Ashtalkoska, I., Ashtalkoski, S., & Kantardjieva, M. (2020). Process of employee training and its impact on organizational performance. KNOWLEDGE – International Journal, 40(1), 195–200. https://ikm.mk/ojs/index.php/kij/article/view/945
Forrester Consulting. (2025). The total economic impact™ of Microsoft 365 Copilot. https://tei.forrester.com/go/microsoft/M365Copilot
Gartner. (2024). Market share: Enterprise resource planning, worldwide, 2024. https://www.gartner.com/en/documents/6524002
Gartner. (2025). Predicts 2026: The future of ERP. https://www.rambase.com/resources/blog/gartner-predicts-2026-the-future-of-erp.
GeniusERP. (2024). A brief history of ERPs. https://www.geniuserp.com/resources/blog/a-brief-history-of-erps/
Iansiti, M., & Lakhani, K. R. (2020). Competing in the age of AI: Strategy and leadership when algorithms and networks run the world. Harvard Business Review Press.
Kantardjieva, M., Golubovski, G., & Ashtalkoska, I. (2022). TQM and marketing: Two-prong contribution towards customer satisfaction. KNOWLEDGE – International Journal, 51(1), 133–137. https://ikm.mk/ojs/index.php/kij/article/view/5049
McKinsey & Company. (2024). The state of AI in early 2024: Gen AI adoption spikes and starts to generate value. https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai-2024
Microsoft. (2025). Dynamics 365 Business Central. https://www.microsoft.com/en-us/dynamics-365/products/business-central
Microsoft Learn. (2024). Copilot and AI capabilities — Dynamics 365 Business Central 2024 release wave 2. https://learn.microsoft.com/en-us/dynamics365/release-plan/2024wave2/smb/dynamics365-business-central/copilot-agents
Microsoft Learn. (2025). Overview of Dynamics 365 Business Central 2025 release wave 1. https://learn.microsoft.com/en-us/dynamics365/release-plan/2025wave1/smb/dynamics365-business-central/
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Galena Chavkoska, Irena Ashtalkoska, Marina Kantardjieva

This work is licensed under a Creative Commons Attribution 4.0 International License.