Talk to your data: AI-powered conversational analytics with the dbt MCP server

Ask three different chatbots for “revenue this quarter,” and you may get three different numbers. Trust erodes, adoption stalls, and your data team inherits the mess. Without shared definitions and lineage, chat interfaces can create costly rework and compliance risk. If you can’t trace the metric and see how it was produced, you probably shouldn’t trust it.

That’s the challenge Norlys, Denmark’s largest energy-telecom group, set out to solve with LEAP Data & AI Consulting. Together, they designed and launched a production-ready conversational analytics tool powered by the dbt Model Context Protocol (MCP) server and the dbt Semantic Layer. By exposing definitions, tests, and lineage to their AI system, Norlys delivers fast, verifiable self-service insights to every business user—without creating new risks for the data team.

Whether you’re exploring AI use cases or preparing to ship conversational analytics into production, this session offers a practical playbook for turning today’s hype into real business value.

Meet your speakers:

Søren Meincke Persson

Head of Data Engineering

Norlys

Jonas Munk

AI & Data Strategy Lead

Leap, Data & AI Consulting

Thomas Grabowski

Product Manager, AI

dbt Labs

Host partners: