Which BI tools let you test whether the AI's answers are right?

Quoted from Databricks’s docsBenchmarks allow you to create a set of test questions that you can run to assess Genie's overall response accuracy.

Quoted from Snowflake’s docsCortex Agent evaluations allow you to test, baseline, and hill climb on your agent’s behavior and performance, so that you know when your agent is ready to roll out to your users.

Quoted from Omni’s docsYou define a prompt set (a reusable collection of questions scoped to a single Omni model), then execute an eval run that scores each AI response with a built-in accuracy judge.

Quoted from Hex’s docsEvals let you programmatically run threads with the Hex agent and grade each response against rubrics you define.

Quoted from Sigma’s docsYou can run your agent evaluations in the Sigma UI using input tables to define and record the evaluations.

Quoted from BigQuery’s docsEvalBench acts as an automated unit-testing suite, letting you set up multi-turn scenarios, add LLM-backed and deterministic scorers, and manage the lifecycle of your Dataform pipelines.

Quoted from Tableau’s docsQ&A Calibration (Beta): You can access this tool in the Tableau Next menu to test questions in Concierge, and then verify and calibrate results.

Quoted from Power BI’s docsFor each question, define the expected measure, grouping, date basis, filters, and validated result.

Quoted from Metabase’s docsYou can also run individual prompts to test Metabot's answers, or delete prompts that aren't useful.

Quoted from Streamlit’s docsWhen the simulated chat assistant responds, a function validates the response and highlights possible "errors" for the user to review.