← All work2025 · AI / Data Platform
AI-Powered Internal Analytics
Natural-language analytics over operational data. Non-technical staff get answers in minutes, not engineering tickets.
01
Overview
The shape of the problem.
Leadership had business questions that were a SQL query away, but only a handful of engineers could run them, and even they had to relearn the schema each time. Every question turned into a ticket and a wait, slowing real decisions. We wanted to shorten that loop without giving everyone raw warehouse access.
02
Outcomes
- /01
Natural-language to SQL, grounded in business-context metadata that domain owners maintain themselves
- /02
Multi-turn refinement so users can iterate on a question instead of restarting
- /03
Saved scenarios that turn recurring leadership questions into one-click reports
- /04
Question-to-answer loop went from days to minutes
Filed under
- AI
- Text-to-SQL
- Analytics
- Claude