LangGraph
Graph-based orchestration framework for building stateful, multi-step AI agent workflows with human-in-the-loop support.
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Use Cases
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Companies
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Industries
Companies Using LangGraph
Industries
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Use Cases (5)
Trellix, a global cybersecurity firm serving 40,000+ enterprise customers, built Sidekick — an internal agentic platform powered by LangGraph and LangSmith — to automate log parsing and security integration development. What previously took engineers 2–3 days per request now takes minutes, and plugin development that spanned multiple days now completes in a single afternoon.
Klarna is a global fintech company serving over 85 million active users with payment and shopping solutions, processing 2.5 million transactions daily across more than 45 markets. Facing mounting pressure to scale customer support across global markets without proportional headcount increases, Klarna deployed an AI assistant built on LangGraph and refined with LangSmith that now handles the work equivalent of 700 full-time staff. The result is 80% faster customer query resolution and 70% automation of repetitive support tasks.
Vodafone, a telecommunications company serving over 340 million customers, built two AI assistants using LangChain and LangGraph to support engineers managing data centers across Europe. The Insight Engine converts natural language queries into SQL for real-time performance analysis, while Enigma retrieves technical documentation from SharePoint. Together they have reduced time-to-insight for infrastructure issues and eliminated engineers’ dependence on custom dashboards.
monday Service implemented an eval-driven development framework using LangSmith and LangGraph to build and monitor customer-facing AI service agents, achieving 8.7x faster evaluation cycles for IT, HR, and Legal support workflows.
C.H. Robinson, one of the world's largest logistics providers managing 37 million shipments annually, built AI agents using LangChain and LangGraph to automate email-based shipment orders end-to-end. The platform now processes approximately 5,500 orders per day automatically, saving more than 600 hours of manual email processing work daily.