Discover the challenges of taking agentic AI from impressive demos to reliable enterprise production in this session from the Software Architecture Conference 2026, presented by Devdas Gupta, Senior Engineering Lead at Charles Schwab.

The session examines why an AI agent that performs well in a prototype or demonstration can encounter significant challenges when deployed in real-world enterprise environments. Moving to production requires more than capable models-it requires the right architecture, reliability, scalability, observability, security, governance, and operational practices.

The discussion focuses on the gap between AI prototypes and production-grade agentic systems, exploring the architectural considerations involved in operating AI agents within complex enterprise environments. It is particularly relevant for software architects, AI engineers, engineering leaders, enterprise architects, developers, and technology professionals building or evaluating agentic AI applications.

Watch the full session to understand the practical challenges of scaling agentic AI, designing production-ready AI systems, and building reliable enterprise architectures that can support real-world workloads beyond the demo stage.