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Learn how to bridge the critical gap between agentic AI prototypes and production deployment in enterprise environments through this 32-minute conference presentation. Discover the fundamental challenges that cause AI agents to fail in real-world scenarios, including context management issues, operational observability problems, and infrastructure security concerns. Explore Fabrix.ai's three core principles for successful deployment: shifting complexity to the tooling layer, rigorously curating LLM context, and implementing comprehensive operational controls focused on business outcomes rather than technical metrics. Examine the trifabric platform architecture featuring data, automation, and AI fabrics, with deep dives into the Context Engine's intelligent caching and conversation compaction capabilities, and the Tooling and Connectivity Engine's abstraction layer for enterprise tool integration. Understand how dynamic data discovery automatically generates robust tools for common workflows while enabling direct tool-to-tool data exchange to prevent token waste. Analyze advanced operational features including qualitative session analysis, performance improvement planning for agents, and essential spend management controls. Review real-world case studies demonstrating superior performance in handling large document queries and correlating information across heterogeneous systems without requiring data lakes.
