Query databases in everyday language

Teams query databases in everyday language instead of writing SQL

Needs setupAI Act: no extra obligationsCreating software & codeAll industries

Fits: Leaders & strategy · Sales · Finance & accounting · IT & software development

Specialists ask questions like “Which five customers in Bavaria ordered the most in 2025?” themselves instead of waiting for IT. The AI writes the query, displays it and explains what it counts.

Is this for you?

  • You have a database or data warehouse with tables whose meaning someone can explain.
  • Today, specialist departments wait for reports from IT or laboriously copy data into Excel.
  • There is someone who can judge queries and results from both a business and a technical point of view.
First step today

Describe two tables in your database with column names and made-up example rows, without real customer data, and use the template below to have a query written for a real question. Run it on a test copy and recalculate the result for one customer by hand.

How to go about it

  1. Collect frequent questions and expected answers
  2. Provide read access, a table description and a test copy
  3. Have queries generated
  4. Check queries against known results
  5. Approve it for the specialist department
  6. Maintain the table description and example questions

Templates to copy

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The complete guide

  • 6 steps explaining exactly what to do
  • 3 proven templates to copy into your own AI
  • Safe use: data, checking, deciding, informing
  • Pitfalls, effort and how to recognise success

With the training you get all 430 guides for as long as your access runs.

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Same approach, other use cases

13 more use cases follow the pattern “Creating software & code”.

A-084 · Legal status 08.10.2026