As the dust begins to settle around the generative AI hype, real-world applications are finally taking shape, yet many organizations still struggle to turn promising MVPs into solutions that deliver measurable business value. Vy, Norway’s state-owned transportation company, faced this challenge. Working in Databricks, the team rapidly transformed their AI agent from a proof-of-concept into a true proof-of-value. By leveraging MLflow on Databricks, they built a production-ready generative AI system that outperformed the original MVP in both controlled testing and real-world usage. It also introduced key features such as automated evaluation, scalable deployment, traceable and auditable generations, and measured support for more than 40 languages. Join us to hear how the team achieved this acceleration from prototype to production, and learn their insights on how Databricks can be used to deliver reliable, scalable, and value-driving generative AI products.