Editorial illustration for Fastweb and Vodafone Automate Customer Service with LangGraph AI Tool
Fastweb and Vodafone Revolutionize Customer Support with AI
Fastweb and Vodafone use LangGraph LLM Compiler to automate customer requests
Most customer service AI is a scripted dead end. Fastweb and Vodafone built a bossy one that thinks.
For 9.5 million of their Italian customers, a request doesn't trigger a canned reply. It sets off a planning session inside an LLM Compiler pattern built with LangGraph. The system draws up a blueprint.
Then it executes it, calling APIs, pulling data, and moving through multi-step fixes on its own. The agent, called Super TOBi, now closes 82% of issues without a human. It gets things right 90% of the time.
Customers give it a 5.2 out of 7 on effort.
With their foundation built on LangGraph's flexible architecture and LangSmith's monitoring capabilities, Fastweb + Vodafone is well-positioned to continue innovating in the telecommunications AI space while maintaining the reliability and performance their customers expect.
The numbers are real. So is the other half of the setup. The same orchestration logic that runs Super TOBi also powers a separate tool called Super Agent.
It sits with human consultants. When a call gets complicated, it feeds them live diagnostics and compliant answers pulled from source documents. The goal was never to fire people.
It was to stop wasting their time on solvable problems.
This works because the LLM Compiler pattern treats a messy request like a project to manage, not a phrase to match. It is a quiet argument against most corporate AI, which is just search with a smile. The system thinks, then acts.
That distinction is everything. Other companies facing the same service grind should look closely. The future isn't a better chatbot.
It's a tireless, methodical assistant that does the legwork.
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Common Questions Answered
How does the LangGraph LLM Compiler improve customer service for Fastweb and Vodafone?
The LLM Compiler enables Super TOBi to generate comprehensive plans for each customer request, breaking down complex interactions into manageable steps. It can seamlessly execute API calls, retrieve data, and resolve multi-step problems across various domains like cost control, active offers, roaming, sales, and billing.
What performance metrics has Super TOBi achieved with the LangGraph AI tool?
Super TOBi has demonstrated impressive performance, with a 90% correctness rate in handling customer requests across multiple service channels. The system currently serves nearly 9.5 million customers through the Customer Companion App and voice channels, showcasing its robust capabilities in automated customer support.
What makes the LangGraph solution different from traditional customer service chatbots?
Unlike traditional chatbots, the LLM Compiler is an intelligent system capable of handling complex, multi-step customer interactions with high precision. It goes beyond simple query responses by generating comprehensive problem-solving plans and executing intricate tasks across different service domains.
Further Reading
- Vodafone transforms data operations with AI using LangChain and LangGraph — LangChain Blog
- LLMCompiler — LangGraph Documentation
- Artificial Intelligence: Fastweb+Vodafone Among the First Companies in Europe to Sign the European Code of Conduct for GenAI Models — Fastweb Vodafone
