LangGraph

LangGraph powers 2 source-linked AI deployments documented in AIUseCaseHub, across 2 industries and 2 countries. Documented deployments include AI agents, RAG.

Use Cases

Industries

Countries

Agent Cases

Hyperscaler mix

Filter LangGraph's implementations by cloud provider evidence.

How LangGraph builds AIBuild, Buy & Compose — what they mean
Build — Custom, pro-code engineering — bespoke pipelines and SDKs (e.g. Bedrock, Vertex AI).
Buy — An off-the-shelf assistant or copilot, adopted as the main solution.
Compose — Low-code / no-code assembly (e.g. Copilot Studio, Power Platform, n8n).
Mixed — A combination of more than one of the above.

Build / Buy / Compose across this partner's documented cases

100%

BuildBuyComposeMixed

2 of 2 cases classified (100%) · Compare all use-case types

Reported outcomes

1 case reports measurable results

−90%

Cost savings

median · 4 metrics

Medians of results published in LangGraph cases, normalized for comparability. See all benchmarks →

All Use Cases (2)

Base39 Leaps to Efficiency in Latin American Financial Services with Amazon Bedrock

Base39, a financial services company in Latin America, faced a challenge with a manual, costly, and slow loan analysis process which limited efficiency and approval rates.They transitioned to a serverless architecture using AWS technologies including Amazon Bedrock, Amazon S3, Amazon DynamoDB, AWS Step Functions, and MongoDB Atlas Vector Search, and integrated Anthropic's Claude 3.5 Sonnet and Claude 3 Haiku foundation models via Amazon Bedrock.The new AI-powered modular credit analysis solution reduced loan analysis costs by 96%, decision-making time from days to under an hour, infrastructure costs by 84%, development costs by 75%, and maintenance costs by up to 100%, enabling rapid model updates and continuous improvement.

FinanceBrazilApr 2026

RAG

Agentic vehicle insurance claim processing demo with Amazon Bedrock (Amazon Nova Lite) and Snowflake Document AI

This AWS blog post presents a vehicle insurance claims workflow demo built by Snowflake using LangGraph and Streamlit.The workflow extracts structured fields from driver’s licenses and claim forms with Snowflake Document AI, analyzes accident photos with Amazon Nova Lite on Amazon Bedrock, cross-checks extracted values against policy records, and generates a customer-facing claim decision email.

InsuranceUnited StatesNov 2025

Agent