Novo Nordisk analyst built a text-to-SQL agent that frees up half a full-time role
By Novo Nordisk (Rare Disease Insights & Analytics)Built and shared by Novo Nordisk (Rare Disease Insights & Analytics), not by me. Summarised from the public sources below. Check them before you rely on a number.
- Who
- Novo Nordisk (Rare Disease Insights & Analytics)
- Category
- Data & analytics
- Source
- Web
- Dates
- Published 21 Sept 2026 · Found 17 Oct 2026
A senior analyst on Novo Nordisk's Rare Disease Insights & Analytics team built an AI assistant himself that answers business questions in plain language directly on healthcare claims and prescription data.
What they built
An agentic text-to-SQL assistant in Dataiku, connected to GPT-4 and data sources including the Komodo healthcare claims database. Dataiku Scenarios refresh the data layer daily, so the agent always uses current data. The agent handles querying, exploration and first-pass analysis, while analysts review and interpret the answers before they are shared.
The result
The team estimates around 50% higher analytical efficiency and 50–70% less time spent on exploratory analysis and routine reviews. First answers arrive in under a minute, and roughly 0.5 FTE is freed up without new hires.
Sources
OpenAI's internal data agent takes employees from question to insight in minutes
By OpenAI (Bonnie Xu, Aravind Suresh, Emma Tang)
OpenAI built an internal data agent that teams in engineering, data science, go-to-market, finance and research use to answer data questions. The agent finds the right tables itself, runs SQL and writes notebooks and reports, so an analysis takes minutes instead of days.
Vercel removed 80% of its data agent's tools and made it 3.5x faster
By Vercel
Vercel had spent months building an internal text-to-SQL agent, d0, with specialised tools and heavy prompt engineering. When the team replaced most of the tools with a sandbox where the agent can run bash commands over the semantic-layer files, the agent became both more accurate and faster.
Uber's finance team asks its data questions in Slack via the AI agent Finch
By Uber (Eddie Huang, Taya Yusuf, Tim Ross)
Uber's FinTech team built Finch, an AI agent in Slack that lets financial analysts and accountants ask for financial data in plain language. Finch writes and runs the SQL query itself and sends the result back, with a link to Google Sheets.
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