← All use cases
AI USE CASE
Internal text-to-SQL data Q&A
Let business users ask data questions in plain English and get accurate answers.
What it is
A text-to-SQL agent grounded on your data warehouse semantic layer translates business questions into validated SQL, runs them and explains the result with caveats. Reduces ad-hoc analyst load 50–70% and democratises data access safely.
Data you need
Curated semantic layer / dbt models in a data warehouse.
Required systems
- data warehouse
Why it works
- Strong semantic layer is the prerequisite
- Always show generated SQL alongside the answer
How this goes wrong
- Confidently wrong answers on ambiguous schemas
- Users trust output without checking definitions
When NOT to do this
Don't deploy on a raw warehouse without a curated semantic layer — answers will be unreliable.
Vendors to consider
This use case is part of a larger Data & AI catalog built from 50+ enterprise transformation programs. Take the free diagnostic to see how it ranks against your specific context.