Elastic hosted a webinar exploring architectural requirements, context engineering, and buyer expectations as enterprises transition to agentic AI.

Key Details

• IDC research quantified that only 12% of companies are always confident in the factual accuracy of answers from primary discovery tools.
• Over 50% of companies struggle to move agentic AI from trials to full production due to trust gaps in agent outputs.
• Model Context Protocol (MCP) and Agent2Agent (A2A) were highlighted as emerging standard interfaces for connecting agents to data and facilitating collaboration.
• Context engineering was presented as the essential discipline to prevent context rot and improve accuracy in agentic systems.

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