LangChain

3 use cases using this technology

3published use cases

2industries

2countries on record

Agentic AI

top AI capability

Evidence mix: High 3 · Medium 0 · Low 0 — bands are computed from each record's evidence signals.

Industry

Country

3 use cases

TelecommunicationsGenerative AIAgentic AIConversational AI

LG U+ Reduced LLM Vendor Dependency and Cut Costs 36% with Databricks Model Serving

LG U+, one of Korea's leading telecom carriers, migrated its U+one AI Search service to Databricks Model Serving to reduce dependence on a single external LLM vendor. Databricks hosts Gemini 2.5 Flash in a dedicated availability zone through a partnership with Google, letting LG U+ keep its existing LangChain interfaces and model while removing its direct reliance on Google's own infrastructure. The company also rebuilt its search architecture with an AI Gateway, Query Orchestration, a Semantic Elastic Cache, Hybrid Reasoning Retrieval, and Agentic Self-Correction Loops running within an LLMOps framework. In controlled tests, Gemini calls routed through Databricks showed 48% higher throughput, 22% faster average response times, and a 90% lower failure rate versus direct calls; in production, operating costs fell 36% and response speed improved 64% even as system complexity grew 107%. LG U+ is extending the same infrastructure to its ixi-O Voice AI services.

LG U+· South KoreaDatabricks Model Serving · LangChain · Gemini 2.5 Flash +3

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