In a enterprise environment, building a knowledge mining tool is not just about artificial intelligence or building a chatbot—it requires a solid architectural foundation, strict governance, and seamless integration. This talk explores the journey of designing and implementing a conversational tool for knowledge mining, focusing on the architectural decisions and patterns that enabled compliance and scalability. We will address key challenges such as handling sensitive data, ensuring interoperability with legacy systems, and maintaining performance under strict security constraints. The session will also cover the technologies leveraged—such as cloud-native services, container orchestration, and secure API gateways—and share best practices including modular design, zero-trust principles, testing techniques and strategies and continuous monitoring. As learned lessons, attendees will gain actionable insights to transform an idea into a robust, compliant, and future-proof solution that could be extended in different domains!
