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Explore how to build reliable, interpretable AI systems for enterprise workflows in this 31-minute conference talk from DevConf.US 2025. Learn to design and implement an AI orchestration framework that combines LangGraph for multi-agent workflows, Flyte for distributed execution, and AWS Bedrock for LLM inference using Claude 3 to create an AI copilot for enterprise architects. Discover how to leverage domain-specific knowledge graphs as long-term memory for agents, enabling persistent, structured representations of architectural state, system dependencies, and business context that ground agents to generate accurate recommendations and translate natural language into SQL or code. Understand how to integrate observability practices, including planned OpenTelemetry instrumentation, to trace and debug autonomous AI systems in production. Gain an end-to-end blueprint for embedding reasoning into complex system design and data tasks, moving beyond simple chatbot implementations to sophisticated enterprise AI solutions that maintain continuity across workflows and provide deep tech stack context integration.
