Nuanced queries stalled bots; manual searches slowed agents. Now, AI executes fixes and guides diagnostics with 90% correctness.
One of Europe's leading telecommunications providers serving millions of customers across Italy with complex connectivity and billing needs.
Existing chatbots struggled to resolve nuanced requests requiring contextual understanding, while human agents relied on manual, time-consuming...
“You can’t run agentic systems in production without deep observability. LangSmith gave us end-to-end visibility into how our LangGraph workflows reason, route, and act, turning what would otherwise be a black box into an operational system we can continuously improve.”
Integrated fiber broadband and 5G mobile telecommunications provider in Italy.
Framework and developer platform for building LLM-powered applications.
Related implementations across industries and use cases
Reps lost time hunting across complex systems. Now, AI agents surface verified answers and automate notes, freeing humans to connect.
Legacy tools failed on complex queries. AI now guides 23,000 agents with instant answers, cutting handling time by 9%.
A legacy bot passed 50% of chats to staff. Now, AI agents connect 62 databases to resolve 87% of inquiries autonomously.
Basic troubleshooting consumed agents' time. Now, an AI fluent in local dialects independently resolves 73% of these cases.
Rigid menus misrouted queries and overloaded advisors. Now, AI handles routine tasks and routes complex issues to humans with full context.
Single-turn bots couldn't manage complex daily routines. Now, specialized AI agents break down and orchestrate multistep user schedules.
Opening enterprise data risked uncontrolled tool sprawl. Now, a tiered platform empowers staff to safely build their own AI tools.
Specs scattered in PDFs meant fixes took weeks. Now, autonomous agents access unified data to resolve over 25% of cases instantly.
Seasonal surges overwhelmed 600 specialists. Now, AI agents autonomously resolve order tracking and FAQs using real-time data.
Nuanced queries stalled bots; manual searches slowed agents. Now, AI executes fixes and guides diagnostics with 90% correctness.
One of Europe's leading telecommunications providers serving millions of customers across Italy with complex connectivity and billing needs.
Existing chatbots struggled to resolve nuanced requests requiring contextual understanding, while human agents relied on manual, time-consuming...
“You can’t run agentic systems in production without deep observability. LangSmith gave us end-to-end visibility into how our LangGraph workflows reason, route, and act, turning what would otherwise be a black box into an operational system we can continuously improve.”
Integrated fiber broadband and 5G mobile telecommunications provider in Italy.
Framework and developer platform for building LLM-powered applications.
Related implementations across industries and use cases
Reps lost time hunting across complex systems. Now, AI agents surface verified answers and automate notes, freeing humans to connect.
Legacy tools failed on complex queries. AI now guides 23,000 agents with instant answers, cutting handling time by 9%.
A legacy bot passed 50% of chats to staff. Now, AI agents connect 62 databases to resolve 87% of inquiries autonomously.
Basic troubleshooting consumed agents' time. Now, an AI fluent in local dialects independently resolves 73% of these cases.
Rigid menus misrouted queries and overloaded advisors. Now, AI handles routine tasks and routes complex issues to humans with full context.
Single-turn bots couldn't manage complex daily routines. Now, specialized AI agents break down and orchestrate multistep user schedules.
Opening enterprise data risked uncontrolled tool sprawl. Now, a tiered platform empowers staff to safely build their own AI tools.
Specs scattered in PDFs meant fixes took weeks. Now, autonomous agents access unified data to resolve over 25% of cases instantly.
Seasonal surges overwhelmed 600 specialists. Now, AI agents autonomously resolve order tracking and FAQs using real-time data.