AI Agents: From Pilot to Business Impact

Thursday, November 12th | 4:00 PM ET

The Core Thesis
Most companies have experimented with AI chatbots. The next frontier — and the one that creates real competitive moats — is autonomous AI agents that can retrieve context, reason across live operational data, take actions, and loop back. The question isn't whether to build agents; it's how to build them safely and at scale.

Why This Topic Now

• AI agents are the defining enterprise AI story of 2026. JPMorgan Chase planned to launch agents capable of working autonomously for hours 8, and Bracket22 was built as a trading firm powered entirely by AI agents — with its founder estimating at least a 10x productivity improvement 5.
   
• Agents require a data layer that can serve both operational state (what's happening right now in the app) and semantic retrieval (what does this mean in context). MongoDB Atlas is uniquely positioned here — combining operational, vector, and search capabilities in a single platform 11.
   
• MongoDB's acquisition of Voyage AI was specifically aimed at integrating AI-powered semantic search directly into the database platform 12 — making this a timely, MongoDB-native story.

Request your invitation now and secure your spot before they fill up.