The primary challenge of integrating AI with existing systems lies in the compatibility and adaptability of new processes and technologies. Many legacy systems may not support the necessary data formats or architectures required for AI applications. Additionally, organizations often face hurdles in data quality and availability, which can hinder efficient AI training and deployment. Ensuring seamless communication between AI systems and existing infrastructure requires careful planning, investment in technology upgrades, and training employees to work with new tools. Organizations must prioritize these aspects to maximize the benefits of AI integration.