In this moment, excerpted from his keynote, Sachin Ghandi, Principal R&D Solution Architect, Microsoft, explained why large language models alone are not enough — and how the Model Context Protocol (MCP) turns AI from a chatbot into an operational system.
Key Takeaways
LLMs Are the Brain, Not the Worker: Large language models provide reasoning and conversation capabilities, but without connections to enterprise systems they remain limited to answering questions rather than executing work.
MCP Provides the Hands and Legs for AI: The Model Context Protocol acts as the operational interface that allows AI agents to interact with ERP and CRM systems — accessing data, creating records, and triggering business actions.
Tools Transform AI Into Enterprise Agents: By equipping models with structured tools and system access, organizations enable AI to move beyond chat experiences toward real-world automation and process execution.
Kieron Allen
Analyst
Cloud Wars, Agent and Copilot
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