Beyond the agent pilot: Why some enterprise agents succeed and others stall

Stephanie Walter

Practice Leader - AI Stack

HyperFRAME Research

Dave Erickson

Distinguished Architect

Elastic

Your AI agent pilot might be technically accurate and still not ready for production. That gap is where most agent initiatives stall. In this fireside conversation, experts from HyperFRAME and Elastic dig into why some agent projects move forward while others get stuck, and what's really driving that difference.

Most times, it's not the model itself that stalls progress; it's the lack of context, permissions, and governance. If you're deciding whether to expand a pilot or rethink your approach, this conversation gives you the framework to make that call with more confidence.

Highlights

• Where enterprise agents are succeeding today, with production stories from Elastic
• How context engineering, data permissions, and human-in-the-loop oversight make agents production-ready
• How to weigh the cost of an agent's error against its value to make a confident go or no-go decision

Additional resources

• Retrieval to Reasoning: Why Agent Builders Are Really Context Engines
• Preventing context rot with agentic AI
• Elastic named a Leader in the Everest Group Enterprise Search Products PEAK Matrix® Assessment 2026