Build an agentic solution with Amazon Nova, Snowflake, and LangGraph
Machine Learning Blog
This article demonstrates building an autonomous insurance claim processing system using Amazon Nova, Snowflake, and LangGraph.
- Agentic AI automates complex tasks with minimal human supervision by combining AI and generative AI capabilities
- Solution extracts data from driver's licenses and claim forms using Snowflake Document AI
- Amazon Nova Lite analyzes car damage photos to identify vehicle type and damage details
- Cross-document validation compares extracted data against Snowflake policy records for authenticity
- LangGraph orchestrates workflow as stateful nodes for modularity and auditability
- Streamlit provides interactive UI for document upload and real-time result display
- System generates professional customer emails using Amazon Nova Lite reasoning
- Full pipeline autonomously perceives, reasons, and acts without constant human intervention
This template demonstrates how agentic AI can automate document-centric business processes with explainability and enterprise-grade governance.
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