Sandesh Bandal
Developer Advocate, 2nd Brain Labs
About Talk
The Enterprise Context Problem: Legacy APIs to AI Agents, building the MCP Layer for Enterprise Software
Organizations deploying AI agents face the “Enterprise Context Problem”—legacy APIs lack the rich, semantic context LLMs need to reason. This session covers the critical shift from traditional APIs to building a Model Context Protocol (MCP) layer. We’ll explore how MCP serves as the standard interface, enabling AI agents to securely query, understand, and act on private enterprise data.
Key Takeaways:
The Context Gap: Why traditional APIs fail AI context needs.
Intro to MCP: What MCP is and its role in agentic architectures.
Building the Bridge: Practical steps to convert legacy systems into context-aware endpoints.
Security & Governance: Safely exposing enterprise data to LLMs.
TRACK: AI & ML: Opening Up the Tech
7th Oct 2026 | Hall C | Time:03:30-04:00 PM
About Speaker
Sandesh is a Developer Relations Advocate dedicated to empowering technical ecosystems, with experience as a DevRel Engineer at J.P. Morgan Chase and at Google for Developers, he specializes in driving developer engagement, advocating for seamless product experiences, and bridging the gap between complex enterprise architecture and developer enablement.