We can reduce Average Handling Time (AHT) without sacrificing quality by improving self-service, agent tools, real-time support, and proactive service. First, we can provide effective self-service so customers can resolve standard questions quickly. This includes implementing AI chat and a dynamic FAQ that answer common questions in seconds, showing clear sources and next steps in responses to reduce follow-up questions, and offering proactive guidance on key pages such as delivery, opening hours, pricing, and terms. This reduces incoming case volume and lowers AHT for the remaining, more complex cases. Second, we can reduce agent handling time by giving agents a unified knowledge base (a single source of truth) in their workspace, predefined macros and quick steps for frequent processes like returns, cancellations, and address changes, and integrated CRM, order, or booking systems that eliminate duplicate data entry. Third, we can use AI as a real-time coach that suggests answers and relevant knowledge articles during the conversation, provides tone and empathy hints when customers are frustrated, and automatically summarizes the case afterward to reduce after-work. Fourth, we can implement proactive service by detecting patterns such as spikes in certain questions and then publishing status updates and short information snippets in chat and on relevant pages, sending advance information such as temporary delivery delays, and ensuring that product pages answer the top recurring questions. Together these measures shorten AHT, keep answer quality consistent, reduce cognitive load for agents, and improve the customer experience.