Kong Champion Sachin Ghumbre describes the transformation of a complex Generative AI (GenAI) application from facing operational challenges to achieving streamlined control using Kong AI Gateway. Initially, the GenAI-powered agent, deployed with a Flask API backend, faced issues such as high LLM usage costs, security vulnerabilities, limited observability, and difficulties in maintaining and scaling the infrastructure. By integrating Kong Gateway, which offers features like secure key management, prompt guard plugins, semantic routing, caching, and observability, Ghumbre was able to centralize control and secure LLM APIs, optimize token usage, prevent prompt injection, and simplify orchestration of the Retrieval-Augmented Generation (RAG) pipeline. The architecture, developed on AWS, leverages Kong Gateway to manage interactions with internal services and external LLM providers, demonstrating how Kong's AI Gateway serves as a comprehensive control layer for modern AI workloads by addressing the unique demands of scaling, securing, and monitoring GenAI solutions.