Microsoft Copilot as a Transformative Tool in Business: Opportunities and Challenges




Abstract:
Artificial intelligence (AI) is progressing rapidly while impacting various industries, changing how businesses operate, and how employees perform tasks. Microsoft Copilot, an AI-powered assistant, is one of the most important developments, designed to assist employees with improving productivity by fostering collaboration, decision making and automation through the organization. This paper explores how Microsoft Copilot integrates and benefits enterprises, and shows challenges and implications for the employees and the organizations. This study examines how Microsoft Copilot integrates into business workflows, especially in the Microsoft 365 applications, and it analyzes its impact on productivity and innovation. It also shows the key challenges, including resistance of the employees to adopting AI, security of data, and ethical considerations related to AI-assisted decision-making. Also, the paper analyses the changes in employment that require new skill adaptation as AI technology is broadly used in business settings. This research assesses Microsoft Copilot and its impact on AI integration within Microsoft’s ecosystem through a case study and empirical analysis. The findings can help companies in using AI while reducing risk and complexity. This paper also discusses the implications of AI in the future of work strategies, along with human capital deployment and business management.

CITATION:

IEEE format

M. Palić, M. Mravik, M. Šarac, “Microsoft Copilot as a Transformative Tool in Business: Opportunities and Challenges,” in Sinteza 2025 - International Scientific Conference on Information Technology, Computer Science, and Data Science, Belgrade, Singidunum University, Serbia, 2025, pp. 347-353. doi:10.15308/Sinteza-2025-347-353

APA format

Palić, M., Mravik, M., Šarac, M. (2025). Microsoft Copilot as a Transformative Tool in Business: Opportunities and Challenges. Paper presented at Sinteza 2025 - International Scientific Conference on Information Technology, Computer Science, and Data Science. doi:10.15308/Sinteza-2025-347-353

BibTeX format
Download

RefWorks Tagged format
Download