Novo Nordisk gave field leaders conversational AI over governed Snowflake data and cut time to insight from 10 days to 2.

Field leaders waited 8-10 days for answers to weekly performance questions that needed data stitched across the Rx warehouse, claims and CRM and three BI tools. Novo Nordisk consolidated Rx, claims, payer, CRM and patient data on Snowflake, defined pharma metrics once in a Tellius semantic layer, and added Kaiya conversational agents that return finished Excel or PowerPoint files. The page reports time to insight down from 10 days to 2, user adoption up 275% across 11 field teams, and a 76-slide quarterly report replaced by a single conversational query.

Tellius is an AI analytics vendor with conversational agents, used by pharma field and commercial teams to query governed sales and claims data in plain English

This sits in the Ship stage of the AI use-case lifecycle: Named examples from the vendors pharma teams use to get an AI system live inside a real, regulated production workflow — validation, CRM, safety and clinical systems of record.