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LangChain

LangGraph

LangGraph is an MIT-licensed open-source agent runtime and low-level orchestration framework from LangChain for building agents with human-in-the-loop controls, customizable single-, multi-agent and hierarchical workflows, persistent memory and token-by-token streaming.

Official product page
7published use cases
7industries
3countries on record
Agentic AI
top AI capability

Evidence mix: High 7 · Medium 0 · Low 0 — bands are computed from each record's evidence signals.

Industry
Country

7 use cases

Technology & SoftwareConversational AIAgentic AI

Wondr Health scales trusted health coaching with Claude

Wondr Health, a digital behavior-based weight management program offered as an employer benefit, worked with AI engineering firm Blank Metal to build Wonda, an AI coaching layer running on Claude via Amazon Bedrock: Claude Opus 4.5 powers coaching conversation reasoning, Sonnet runs a parallel safety subagent that monitors every conversation turn and escalates risk to human coaches via Zendesk, and Haiku runs automated evaluations, with onboarding answers grounded in Wondr's curriculum through a RAG pipeline. Before launch, Wondr's clinical and coaching teams tested Wonda against more than 700 questions across six user personas. The AI coaching layer compresses onboarding that historically took a human coach 30 to 60 minutes into a 10-minute guided conversation.

Wondr HealthClaude Platform · Amazon Bedrock · LangGraph +2
InsuranceGenerative AIRetrieval-Augmented GenerationConversational AIAgentic AI

Unipol accelerates insurance operations with Generative AI built by Reply

Italian insurer Unipol Group, serving customers through more than 2,000 agencies, worked with Reply (Cluster Reply and Sprint Reply) to build a governed Generative AI platform: a Foundation Layer/Unipol GenAI Stack using Azure AI Search and a Vector DB indexing over 60,000 documents; a Virtual Information Assistant chatbot with RAG over 50,000+ documents that reduces back-office ticket load and delivers responses in seconds; a network of AI agents built with Azure OpenAI, LangChain/LangGraph and UiPath that convert manual tasks into conversational interactions with real-time data validation; and an AI Guardrail governance layer (built on the LoopMind asset) providing LLM-as-a-judge monitoring, human-in-the-loop validation and AI Act compliance. Reply reports accelerated time-to-value, with new applications released in 1-3 months.

Unipol Group· ItalyAzure AI Search · Azure OpenAI · LangChain +3
TelecommunicationsAgentic AIRetrieval-Augmented Generation

Fastweb + Vodafone: Transforming Customer Experience with AI Agents using LangGraph and LangSmith

Fastweb + Vodafone, part of the Swisscom Group and one of Europe's leading telecommunications providers serving millions of customers across Italy, built two AI agent systems on LangChain and LangGraph. Super TOBi transforms its existing chatbot TOBi into an agentic system using a Supervisor agent (for routing and guardrails) and specialized Use Case agents following the LLM Compiler pattern to call customer APIs and execute transactional actions like offer activation or payment updates. Currently serving nearly 9.5 million customers through the Customer Companion App and voice channels, Super TOBi achieves a 90% correctness rate, an 82% resolution rate, and a Customer Effort Score of 5.2 out of 7. Super Agent is an internal tool that augments call center consultants with diagnostics and guidance, storing operational knowledge as a graph in Neo4j and using an automated ETL pipeline with LangGraph and LLM agents to convert business-authored procedures into the knowledge graph; it has driven One-Call Resolution rates above 86%. The company uses LangSmith for observability, daily automated evaluation of chatbot responses, and continuous improvement.

Fastweb + Vodafone· ItalyLangChain · LangGraph · LangSmith +1
RetailGenerative AIAgentic AI

How 7-Eleven, Inc. Built a Game-Changing GenAI Creative Assistant for Marketing with Databricks

7-Eleven's AI Center of Excellence built a multi-agent GenAI marketing assistant using LangGraph and Databricks, moving beyond early document-based chatbots and basic RAG. The system includes a Campaign Creative Generator, Copywriter Bot, General Assistant, and Supervisor Agent that orchestrates workflow and reviews outputs, with human-in-the-loop review, web search for trend intelligence, and guardrails filtering toxicity, PII and off-policy responses. Databricks provides governance and observability via MLflow tracking, automated agent evaluation, and inference tables. The assistant reduced manual creative hours, with campaign concepting and scripting that used to take hours or days now generated, refined, and approved in minutes; user feedback included calling it 'a game changer' and 'better than ChatGPT.'

7-Eleven, Inc.LangGraph · Databricks · MLflow