Watch more from .local San Francisco → https://www.youtube.com/playlist?list=PL4RCxklHWZ9s7IrElTzddaZ2w5uupd6TQ Subscribe to MongoDB YouTube→ https://mdb.link/subscribe Revenue teams sits on a mountain of untapped data split across structured data in the CRM, unstructured data in emails, transcripts and time-series product usage data in databases. Workflows are also fragmented across multiple point tools leading to loss of productivity. Rox is building the first AI native revenue operating system from the ground up to unify all the data on top of a warehouse and power AI agents to run automated workflows end to end. We’ll highlight real customer examples where our revenue agents have helped sellers identify new opportunities and close deals faster. Join us to explore how Mongo and Rox are turning static data into dynamic, outcome-driven workflows. 00:00:00 - Introduction: The Tectonic Shift in Revenue 00:01:05 - The Mission of Rocks: Securing Global Revenue 00:01:44 - Evolution of the Revenue Stack (1990s to AI Era) 00:03:00 - The Problem: Fragmented Data and Manual Workflows 00:05:32 - Architecture: The AI-Native Revenue Operating System 00:07:45 - Building a Unified Knowledge Graph 00:10:29 - Multi-Agent Orchestration & Intelligence Layer 00:12:31 - The Invisible Asymptote: Scaling AI in Production 00:14:24 - Optimizing for Token Scale and Cost Curves 00:15:25 - Adoption: Bridging the Gap Between Pilot and Production 00:17:31 - The Future-Proof AI Architecture vs. Legacy CRM 00:19:13 - Real World ROI: The Ramp Success Story 00:19:54 - Conclusion: 10x Productivity for Customer Teams Visit Mongodb.com → https://mdb.link/MongoDB Read the MongoDB Blog → https://mdb.link/Blog Read the Developer Blog → https://mdb.link/developerblog

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