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Operations · Intermediate

# Governed text-to-SQL and analytics reporting

Translate natural language business questions into vetted SQL queries and visual data reports.

[Use with BotBento ](https://app.botbento.com/?ref=usecases&utm_source=botbento.com&utm_medium=usecases&utm_campaign=governed-text-to-sql-and-analytics-reporting)Copy promptShare[Markdown](/text/usecases/governed-text-to-sql-and-analytics-reporting/index.md)

Opens BotBento. Paste the prompt into a bot; nothing is preconfigured.

- When you askBusiness query submitted
- ThenInspect schema and validate SQL
- ResultQuery result and report summary

Answer business intelligence questions by querying connected data warehouses through a version-controlled semantic context layer. The bot interprets metrics, relationships, and calculations from established schemas, generates validated read-only SQL queries, and summarizes the resulting data into clean operational insights.

## Prompt to start with

BotBentoRecommended

```
Inspect the project semantic context files to understand table relationships, metric definitions, and calculation logic. When receiving a data inquiry, generate and explain a read-only SQL query against the target database. Validate joins and dry-run query plans before running them. Never run destructive statements like DROP, UPDATE, or DELETE. Before deploying any web dashboards or external reporting endpoints, ask for explicit user confirmation.
```

Copy

## Tools it uses

DatabaseTerminalChat

## Works with

BotBento

## Tags

- sql
- analytics
- bi
- database

## Source

[WrenAI: GenBI (Generative BI) for AI agents, an open-source, governed text-to-SQL through an open context layer that turns natural-language ](https://github.com/Canner/WrenAI)
GitHub · checked 2026-10-15

Summarized in our own words. Any results described there are the authors’ own, not measured by BotBento.

By BotBento Editorial · Added 2026-10-15 · Updated 2026-10-15 · [Suggest a correction](/contact/)

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