Sanaf AI
Start free
Databases

Google BigQuery, worked by an AI employee

Not another app for your team to learn, and not a set of rules for you to build. You hire an AI employee, you give it access to your Google BigQuery account, and you ask it for things in Slack or Teams the way you would ask anyone else on the team. There is nothing to map and nothing to maintain.

  • Databases
  • Signs in to your account
  • 1 ready-made tool
  • Asked in Slack or Teams
At work

An illustration of how the conversation reads, not a transcript from a client account.

What Google BigQuery is

Google BigQuery is a fully managed data warehouse for large-scale data analytics, offering fast SQL queries and machine learning capabilities on massive datasets

You sign in with your own Google BigQuery account, the same way you already do. We never see or hold your password.

How a run works

One message in, the work done in Google BigQuery.

  1. 01

    You ask

    You message your AI employee in the chat your team already has open, in one sentence, in your own words.

  2. 02

    It works out the step

    It decides what the job needs in Google BigQuery. You do not pick anything from a menu or wire anything together.

  3. 03

    It does the work

    Signed in to your own Google BigQuery account, inside the access you granted it, doing the thing you asked for.

  4. 04

    It reports back

    It tells you what it did, in the same thread. If it could not do something, it says so rather than guessing.

1 tool it already has

What it can do in Google BigQuery

These are the ready-made tools your AI employee already has in Google BigQuery. It is not limited to them, but it never has to be taught these.

  • QueryQuery tool will run a sql query in bigquery. note: make sure the query being input in a single line format. for example, select from sample dataset.sample table where column name =
Access, and who is in charge of it

You stay the boss of your Google BigQuery account.

Nothing connects until you approve it. You grant access one app at a time, you can take it back the same way, and everything your AI employee does in there is written down where you can see it.

How we handle your data
  • It signs in to your own Google BigQuery account. You are not moving anything into ours.
  • You grant access one app at a time, and you can take it back the same way.
  • Everything it does in Google BigQuery is written down, with what it did and when.
  • Anything you tell it to check with you first, it checks with you first.
Other apps in the same corner of the business

It works in Google BigQuery and the rest of your software in the same job

A real job rarely stays in one place. Reading a message in one app, checking a record in another and writing the result in a third is one request to your AI employee, not three.

See every app

Questions people ask about Google BigQuery

Can an AI employee really work inside Google BigQuery?
Yes. It signs in to your own Google BigQuery account and works in it the way a new hire would, from the chat your team already has open. Nobody installs anything, and nobody learns a new screen.
Do I have to move anything out of Google BigQuery?
No. Nothing moves and nothing is replaced. Your records stay in Google BigQuery, your team carries on in the same screens they used yesterday, and your AI employee works alongside them in there.
How does it get into my Google BigQuery account?
You sign in with your own Google BigQuery account, the same way you already do. We never see or hold your password. You approve it before anything connects, and you can take the access back the same way you gave it.
What can it actually do in Google BigQuery?
It has 1 ready-made tool in Google BigQuery today, among them Query. The full list is on this page. It is not limited to those, but it never has to be taught them.
Can it use Google BigQuery and the rest of my software in the same job?
Yes, and that is usually the point. Reading a message in one app, checking a record in Google BigQuery and writing the result somewhere else is one request to your AI employee, not three separate ones you stitch together.
Who decides what it is allowed to do in Google BigQuery?
You do. You grant access one app at a time and can withdraw it at any time, anything you ask it to check with you first it checks with you first, and everything it does in Google BigQuery is written down with what it did and when.