EXPLORING EFFECTIVE CHANGE MANAGEMENT STRATEGIES FOR AI INTEGRATIONS IN BUSINESS PROCESSES: CHALLENGES & BEST PRACTICES

Abstract

Nothing can better emphasize the need for change. Every organisation needs to change with time; failing which, it stands the risk of being pushed into oblivion and being labeled as obsolete by the more enterprising competitors in the market. Managing change within an organisation in the context of incorporating AI may be challenging, as it demands significant transformation across systems, processes, and mindsets. The present research looks at shortcomings and proposed practices for handling changes correlated to artificial intelligence integration. This study emphasizes at best practices and challenges in managing the change pertaining with artificial intelligence integration. Critically reviewed are major refers to consist of staff issues, knowledge gaps, and the need for innovations to organizational culture. Emphasizing the requirement of stakeholder involvement, iterative feedback loops, and the construction of continuous learning applications, this research draws on a comprehensive analysis of current literature and real-world cases illustrating key tools for overcoming these barriers. Conclusions arrive at attention in successful management practices that strike a balance between employee participation and business culture with significant developments in technology, thus providing insightful analysis to organizations negotiating the AI integration road.