Explore how to build and scale agentic AI applications for enterprise environments using Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), and AI guardrails in this session from the Software Architecture Conference 2026, presented by Santu Chakraborty, Enterprise Solution Architect.

The session focuses on the practical challenges of moving agentic AI from experimental implementations to enterprise-scale software systems. It examines how RAG can provide agents with relevant organizational context, how MCP can enable standardized access to tools and data, and how guardrails can help establish safer, more controlled, and reliable agent behavior.

Using a representative enterprise mobile platform case study, the session explores architectural considerations for scalable agentic development, including how AI agents can be integrated into existing enterprise technology environments while addressing reliability, security, governance, context management, and operational requirements.

This session is valuable for enterprise architects, software architects, AI engineers, solution architects, developers, and technology leaders working on agentic AI and AI-powered enterprise applications.

Learn how RAG, MCP, and guardrails can work together as architectural building blocks for developing, governing, and scaling enterprise-grade AI agent systems.