In 2025, customer support has significantly evolved with the integration of advanced AI technologies, transforming how teams handle inquiries and issues. AI tools now go beyond basic keyword-matching chatbots to systems that comprehend context, detect customer emotions, and autonomously route complex problems to the appropriate teams. This advancement includes conversational agents with memory, real-time knowledge retrieval for agents, sentiment and speech analysis, predictive ticket routing, and automated bug capture. These tools enhance the efficiency and effectiveness of customer support by assisting human agents with response suggestions, analyzing customer emotions, and routing tickets based on a myriad of variables. The implementation of AI in customer support is supported by platforms like Intercom, Zendesk, Forethought, and Jam, each offering unique AI-driven features tailored to different organizational needs. Despite the benefits, challenges such as data privacy, AI hallucination, and change management for agents remain critical considerations for successful adoption. The shift towards AI-assisted workflows aims to streamline support processes, reduce resolution times, and improve customer satisfaction while maintaining compliance with data protection regulations.