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The Model Context Protocol (MCP) has fundamentally revolutionized developer velocity, allowing engineers to build and iterate complex AI agents seamlessly on a local machine. However, when moving these autonomous agents from a local sandbox into a production enterprise environment, organizations hit a sudden architectural ceiling. The local agility that fuels early-stage innovation quickly breaks under the compounding pressure of agentic sprawl, fragmented data integrations, and critical compliance requirements.
This keynote addresses the hidden architectural dimensions required to run enterprise AI agents safely and reliably at scale. Moving past individual agent scripts, we will explore why a centralized, fully managed platform is no longer a luxury, but a core system dependency. We will dive into the four essential pillars—Build, Scale, Govern, and Optimize—with a specific focus on how a managed MCP control plane provides the cryptographically-attested identity, granular gateway policies, and runtime isolation required to cross the chasm from an impressive local prototype to a secure, enterprise-grade AI ecosystem.
Romin Irani works as a Developer Advocate at Google Cloud. He has over
30 years of experience designing and building systems. He lives and
works in Mumbai, India.
