Building Enterprise AI Agents

​While prototype AI agents can be built quickly using an LLM and a few tools, enterprise AI agents must operate reliably at scale, integrate with business systems, and meet stringent requirements for security, governance, observability, and compliance. The gap between a demo and a production system lies not in the model alone, but in the architecture, processes, and operational controls surrounding it. This session explores the key design principles, infrastructure patterns, and engineering practices required to transform AI agent prototypes into enterprise-grade solutions.