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AI USE CASE

Internal text-to-SQL data Q&A

Let business users ask data questions in plain English and get accurate answers.

Minimum data maturity
intermediate
Technical prerequisite
data engineer
Industries
SaaS, Finance, Retail & E-commerce, Professional Services
AI type
rag search

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.

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.

Example vendors

This page describes an idea. It gives no budget or timeline: those depend on your company. The free diagnostic tells you which ideas fit your situation.

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