Answers are irrelevant, self talk, stereotype, and obvious template...... At present, AI technology is developing rapidly, and more and more enterprises use intelligent customer service to replace artificial customer service. However, some problems also appear, and consumers roast from time to time. Artificial intelligence customer service is widely used in many fields such as e-commerce, logistics, tourism, finance, insurance, etc. For enterprises, compared with traditional manual customer service, intelligent customer service can provide 24/7 services, recognize customer voice inquiries, complaints and other information, and automatically reply to some simple and repetitive questions. This not only improves response speed and service efficiency, but also reduces labor costs. While artificial intelligence customer service brings convenience, it also has its limitations. For example, intelligent customer service is unable to understand complex language and context, has low response accuracy, lacks personalized services, and is unable to engage in emotional communication, which invisibly becomes a "roadblock" for communication between consumers and enterprises, resulting in low problem-solving efficiency and a negative impact on the corporate image. Customer service connects consumers at one end and enterprises at the other, responsible for understanding consumer feelings and responding to consumer demands. It requires meticulous and warm communication and exchange. Therefore, in the immaturity of artificial intelligence technology, enterprises cannot simply replace human customer service with standardized and programmatic intelligent customer service, and replace problem-solving with response speed. Instead, they need to comprehensively consider the balanced application of intelligent customer service and human customer service, and through the separation and cooperation of the two, smooth communication channels between enterprises and consumers, and provide consumers with high-quality and efficient service experiences. On the one hand, enterprises should continuously improve the ability of artificial intelligence customer service to solve problems. Enterprises should focus on the "connectivity" of service processes and the "quality" of customer experiences. By continuously optimizing algorithms and establishing feedback mechanisms, they can enhance the natural language processing, image recognition, and emotional understanding abilities of intelligent customer service, enabling them to more accurately analyze user problems and provide corresponding solutions to meet the diverse and personalized needs of customers. On the other hand, while introducing artificial intelligence customer service, enterprises should retain and set up "one click transfer, one touch reach" manual customer service to achieve human-machine collaborative services. For routine problems, intelligent customer service can automatically reply and solve them, while for urgent problems that users need to solve, especially those involving personal and property safety, priority should be given to solving them through manual customer service channels. Enterprises need to reasonably configure the service time slots and methods of intelligent and manual customer service, design more convenient and smooth customer service switching channels, improve the technical level of seamless switching, eliminate the phenomenon of intelligent customer service being unable to handle and manual customer service being unable to find, and protect the legal rights and interests of consumers. Customer service is not a cost burden, but a service window, a valuable asset of the enterprise. Only by providing warm services can enterprises accurately understand the real needs of consumers, solve consumption pain points, win consumer reputation, improve market competitiveness, and go further and more steadily. (Lai Xin She)