Generative AI for Customer Service: Building Modern Support Workflows

Modern customer support requires a balance of speed, accuracy, and empathy—qualities that generative AI can help scale when implemented correctly. This text-based course guides you through the foundational concepts of utilizing artificial intelligence to transform customer service interactions. You will transition from understanding basic AI definitions to designing structured workflows that leverage large language models for customer support. By reading through practical scenarios and analyzing written examples, you will learn how to draft prompts, set up automated draft responses, and maintain a human-in-the-loop system that ensures quality and empathy. What you'll learn: Understand the fundamental terminology of generative AI, large language models, and their specific applications in customer support; Design clear, context-aware prompts tailored for resolving customer inquiries with empathy and brand consistency; Apply Retrieval-Augmented Generation (RAG) principles to connect AI models safely to your support knowledge base; Configure ethical guardrails and safety protocols to mitigate bias, protect customer privacy, and handle sensitive data; Analyze and evaluate AI-generated responses using key quality metrics to maintain high standards of customer satisfaction. We begin with core definitions and the mechanics of language models before moving into practical prompt engineering strategies and integration patterns. You will progress through written case studies and realistic support scenarios, learning how to implement AI responsibly alongside human agents. This course is designed for customer service managers, support agents, and business professionals who are new to AI and want to modernize their workflows. No prior programming or technical background is required. Read through our comprehensive guides and start shaping the future of customer support today.