What can an AI agent do with Snowflake?

A Snowflake AI agent can run SQL queries, explore databases and schemas, inspect table structures, fetch query results, and generate data reports - automatically on a schedule or on demand. Write actions like running queries that modify data require your approval.

Does my AI agent need a dedicated Snowflake user?

Yes. We recommend creating a dedicated service user with a read-only role scoped to the databases your agent needs. This keeps access minimal and auditable.

Can my agent write data back to Snowflake?

Yes, if your connected user has write permissions. Any query that modifies data is treated as a write action and requires your approval before execution.

How is a Snowflake AI agent different from a BI tool?

BI tools show you pre-built dashboards. A Snowflake AI agent answers questions on the fly: it reads your schema, writes the SQL, runs it, and explains the results in plain language. It works across tools too, routing data to Slack, Sheets, or wherever it needs to go.

Analytics

Snowflake, run by an agent.

An AI agent that queries your Snowflake data warehouse and generates reports.

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What needs your approval

Snowflake never changes anything without you.

Anything that creates, edits or deletes in Snowflake waits for your approval. Approve a recurring task once and it runs unattended after that.

Example tasks

Real work people hand to an agent that uses Snowflake.

generate a weekly revenue report by querying your orders table and posting results to Slack
explore an unfamiliar schema to understand what data is available before building a dashboard
run ad hoc analysis on customer segments and export the results to Google Sheets
monitor key business metrics daily and alert your team when values fall outside expected ranges