AI SOLUTIONS AND INNOVATIVE CHOICES FOR REMOTE MANAGEMENT IN SMALL AND MEDIUM-SIZED ENTERPRISES (SMEs)

Abstract

In the modern era, ensuring the operational resilience of small and medium-sized enterprises (SMEs) and optimizing remote management systems has gained great relevance against the backdrop of accelerating digital transformation. The primary objective of this research is to scientifically investigate the application possibilities of artificial intelligence (AI) solutions for remote management in SME entities with limited resources, and to comprehensively evaluate the innovative choices they can create in decision-making processes. The information systems of SMEs that have transitioned to digital governance and apply remote or hybrid work models were selected as the research object, covering the development dynamics between 2021 and 2025. Systemic analysis, economic-statistical evaluation, and conceptual analysis methods of AI-based management models were utilized as the methodology, with the level of digital infrastructure and the automation degree of business processes considered as the key variables. The main results indicate that the integration of predictive modules and AI-based analytical tools into SME management systems optimizes task distribution, saves human and financial resources, and significantly increases operational efficiency. In conclusion, practical recommendations are advanced for SMEs regarding the establishment of remote management architectures, the development of digital skills, and the adaptation of innovative AI solutions to the existing business environment.