AI agents for Snowflake
A Monmo agent works in Snowflake the way a data analyst with good habits would. It answers questions in SQL under a read-only role, reports credit spend by warehouse each week, finds the queries that cost the most and checks that tasks and pipes ran. It connects as the user and role you set up, and asks before it writes to a table, changes a warehouse or touches a grant.
Updated 2026-11-13 · Free to start. Paid plans from $15 a month.
What agents do in Snowflake
Answer a business question in SQL
Ask for net revenue by region for the last two quarters. The agent finds the right tables, writes the SQL, runs it on its own small warehouse and gives you the answer with the query and any caveats.
AskWhat was net revenue by region in Q2 and Q3? Use the finance mart and show me the SQL.
Report credit spend each week
Every Monday it reads warehouse metering history from the account usage views, ranks warehouses by credits used, compares the week with the one before and posts a short summary to Slack once you allow it.
AskEvery Monday at 8, report last week's Snowflake credits by warehouse and what changed from the week before.
Find the queries that cost the most
It reads query history for the longest and largest scans, groups repeats of the same query, and suggests a rewrite, a filter, clustering or a smaller warehouse for each of the worst ten.
AskFind the ten most expensive queries of the last 30 days, who runs them and how each could be cheaper.
Check tasks and pipes ran
Each morning it checks task history and load history for anything that failed or loaded zero rows overnight, quotes the error and names the table that is now stale.
AskEvery morning at 7, tell me which Snowflake tasks failed overnight and which tables did not load.
Tune warehouse settings
It compares each warehouse's size, auto-suspend time and resource monitor with how it is really used, and proposes changes such as a shorter auto-suspend. Each change waits on a card for you.
AskReview our warehouse sizes and auto-suspend settings against last month's use and propose changes.
Review roles and grants
It lists who holds ACCOUNTADMIN and other powerful roles, roles that nobody has used in 90 days and grants on sensitive schemas, then drafts the revokes for your admin to approve.
AskList everyone with ACCOUNTADMIN or SECURITYADMIN, and roles nobody has used in 90 days.
Document tables and columns
It reads a schema, samples each table and drafts plain-language comments for tables and columns, written up in Google Docs first. Applying the comments to Snowflake asks first.
AskDraft descriptions for every table and column in the analytics schema and show me before you apply them.
Feed a weekly report
It runs the same set of queries every Friday, checks the totals against last week, and writes the figures into Google Sheets or a summary to go with your Tableau dashboard.
AskEvery Friday at 3, refresh the weekly KPI sheet from Snowflake and note any number that moved more than usual.
How it connects
- 1Your Snowflake administrator creates a user for the agent with its own role and a small warehouse, and you connect it once. Reading account usage needs that role to be granted access to the SNOWFLAKE database.
- 2Snowflake suits a data agent that answers questions and a finance agent that tracks spend. Give write privileges, if any, only to the agent that maintains your pipelines.
- 3Running SELECT queries and reading history and usage need no approval. Inserting, updating or deleting rows, creating or dropping objects, resizing a warehouse and any grant or revoke ask first.
More in Analytics and data
Other apps of this kind that agents work in, each with its own page.
Questions people ask
Can an AI agent query Snowflake for me?
Yes. With a user and a read-only role, a Monmo agent finds the tables, writes the SQL, runs it and explains the answer in plain words, with the query attached so your analysts can check it. It can save recurring questions as a weekly routine that lands in Google Sheets or Slack.
How do I keep an AI agent from using too many Snowflake credits?
Give it its own small warehouse with a short auto-suspend and a resource monitor you set. That caps what its queries can spend, whatever it is asked. The AI agent also reports its own warehouse use in the weekly spend summary, so you see its share next to everyone else's.
Can it write to tables or change settings in Snowflake?
Only with the privileges you grant and only after your approval. A change such as a backfill, a new table or a warehouse resize is shown on a card with the statement it will run. It then runs through the Snowflake connection, or in its own browser when the connection does not cover something.
Does it work alongside Tableau or Power BI?
Yes. It can explain where a number on a Tableau or Power BI dashboard comes from by reading the query behind it in Snowflake, check it against the source tables and write a short note when a figure moves. Your dashboards stay as they are; the agent answers the questions they raise.