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Learn how to build and deploy a production-ready multi-agent system for insurance underwriting in this conference talk from Agents in Production 2025. Discover how Underwriting Assist leverages LangChain and Ray to create a sophisticated AI system that accelerates insurance underwriting processes by 3x while reducing manual errors by 40%. Explore the architecture of this multi-agent system that combines RAG (Retrieval-Augmented Generation), shared memory, and LLM-based agents to handle complex tasks including clause analysis, risk profiling, and rationale generation. Gain insights into implementing real-time evaluations and human-in-the-loop feedback mechanisms to ensure accuracy, explainability, and regulatory compliance at enterprise scale. Understand the technical challenges and solutions involved in building robust, explainable AI systems that deliver measurable business value in highly regulated industries like insurance underwriting.
Syllabus
Underwriting Assist - A Multi Agent System // Somya Rai | Maria Zhang // Agents in Production 2025
Taught by
MLOps.community