Umělá inteligence jako klíč k moderní a efektivní správě organizace

This master’s thesis analyzes the use of artificial intelligence tools in small enterprises and public administration within the Moravian-Silesian Region. The aim was not only to map the ways in which these technologies are implemented, but also to explore their potential in everyday work contexts, particularly in relation to efficiency and decision-making processes. The empirical part is based on semi-structured interviews with employees from both sectors, analyzed using the method of Interpretative Phenomenological Analysis (IPA), and further complemented by a comparative analysis of differences and shared patterns in AI adoption. The findings show that the successful implementation of artificial intelligence depends primarily on human factors, especially openness to change, trust in employees, and targeted development of digital competencies. The research also revealed that both public sector institutions and small and medium-sized enterprises often lack a systematic AI adoption strategy, with tools being used more intuitively than strategically. Based on these insights, specific recommendations were formulated, focusing on building internal competence foundations, supporting education, and promoting gradual implementation of AI technologies as a path toward more efficient and resilient organizations.