AskTable AI Evaluation: Making Every Answer Trustworthy

Today we are introducing AI evaluation.

Have you worried whether AI-generated queries are accurate—or whether charts and numbers truly reflect the business?

For analytics, accuracy and reliability matter. Any drift can hurt decisions.

AI evaluation acts as a guardrail so every answer is trustworthy.

What is AI evaluation?

It is a system to verify accuracy when AI turns questions into SQL.

Accurate and reliable

Using ATS (AskTable Test Set), we validate the full pipeline from question to result so you can trust every figure—queries and charts alike.

Fast to run

Run many test cases in one batch; the system handles execution and saves time.

Strict mode

You can allow only questions that pass evaluation; anything outside the approved set can be blocked.

How to author tests

How accuracy is checked

You define cases—natural language plus expected SQL. The system runs them and compares AI output.

If SQL, rows, columns, and content are semantically aligned, the case passes.

If something fails, you get feedback to fix issues quickly.

Summary

AI evaluation increases confidence in AI analytics. By aligning generated steps and answers with expectations, we protect accuracy and reliability for business users.

AI evaluation is available on SaaS and self-hosted builds.

Try it and make every decision data-backed.