Register to watch on-demand our webinar 'Beyond RAG: The Agentic Future of Search.'

As we move into 2026, enterprise AI is finally shifting from answering questions to taking action. The real constraint has not been model capability. It has been reliable, secure access to live enterprise systems. 

The Model Context Protocol (MCP) introduces a practical, open standard for connecting large language models to real business data without fragile, custom integrations.

This online session is for senior engineering, data, and platform leaders who want a clear view of what is actually changing. We will examine what is changing and the impact it is having as enterprises move from isolated AI experiments to agents that can work across systems and deliver operational outcomes. 

We will also look at how Elastic’s latest capabilities, including Agent Builder and OpenTelemetry native observability, use MCP to support AI agents that operate across search, systems, and workflows. You will see what this means in real environments across finance, retail, and the public sector, and what it takes to move from static retrieval to systems that can reason and act.

• The "USB-C" Moment for AI: Understand why MCP is rapidly becoming the industry standard for connecting Large Language Models (LLMs) to live data sources, removing the need for proprietary, locked-in integration layers.

• From Chatbots to Operational Agents: How Elastic’s new Agent Builder allows teams to deploy agents that can reason, plan, and execute tasks using your proprietary data.

• Real-world use cases in Finance, Public Sector, and Retail & Supply chain:

  • Industry Spotlight - Finance: See how agentic search is moving beyond simple retrieval to real-time compliance checking and automated fraud context generation.
  • Industry Spotlight - Public Sector: Explore how secure, improved retrieval (RAG) can modernise citizen services while maintaining strict data sovereignty and access controls.
  • Industry Spotlight - Retail & Supply Chain: Visualise agents that can dynamically query inventory across fragmented silos to solve supply chain bottlenecks in natural language.
• Strategic "Future-Proofing": How to adopt an Open Standards-first architecture (OpenTelemetry + MCP) to avoid vendor lock-in as the AI landscape evolves in 2026.