An AI data analyst agent is an autonomous agent that pulls data from your tools, answers questions in plain language, runs the queries and calculations for you, and ships scheduled reports and dashboards without a human in the loop. Fleece AI runs one across Google Sheets, PostgreSQL, BigQuery, Notion, and Slack.
At a glance
| Best for | Ops & RevOps teams without an analyst |
|---|---|
| Key integrations | Google Sheets, PostgreSQL, BigQuery, Notion |
| Connects to | 2,500+ apps via managed OAuth |
| Setup | Connect your tools — no code required |
| Autonomy | Suggest-only to fully autonomous, with approval gates |
| Pricing | 7-day free trial, then paid plans |
By Loïc Jané · Updated June 8, 2026
How the agent works
From trigger to action — Fleece AI does the work in between.
Google Sheets
Spreadsheets
Notion
Docs & databases
Fleece AI
Fleece AI at work
Notion
Report posted
Slack
Scheduled digest
Google Sheets
Spreadsheets
Notion
Docs & databases
Fleece AI
Fleece AI at work
Notion
Report posted
Slack
Scheduled digest
Every answer waits in a queue
Ops and RevOps teams sit on a mountain of data but can't query it without an analyst. Simple questions turn into ticket requests, and by the time the numbers come back, the decision has moved on.
How your data analyst agent works
Connect your data sources
Link Google Sheets, PostgreSQL, BigQuery, Notion, or any of 2,500+ apps in a few clicks. The agent reads the schema and learns where your data lives.
Ask in plain language
Ask 'which accounts churned last quarter and why' in chat. The agent writes the queries, joins the sources, and runs the math — then answers with the figures and how it got them.
Schedule reports and dashboards
Turn any question into a recurring flow. The agent refreshes the numbers on a cron schedule and posts the report to Slack, a Sheet, or a Notion page.
Keep humans in control
Set approval gates before anything is published or written back to a source. Review the agent's logic, dial up its autonomy as you trust it, and let a lead agent delegate deeper analysis to specialized child agents.
What the agent handles for you
Plain-language answers
Ask a question the way you'd ask a colleague — no SQL, no BI tool, no waiting on the analytics backlog.
Queries across sources
It joins Sheets, PostgreSQL, BigQuery, and Notion in one answer, so you stop stitching exports together by hand.
Scheduled reports
Recurring flows refresh and deliver your weekly numbers automatically — to Slack, a Sheet, or a Notion page.
Always-current dashboards
The agent keeps a dashboard refreshed on schedule, so it never quietly goes stale between meetings.
Agent teams for depth
A lead agent can delegate slices of a complex analysis to specialized child agents that work in parallel.
Approval gates
Require sign-off before the agent publishes a report or writes back to a source — you control how much it can do.
Works with your data stack
Connect the spreadsheets, databases, and warehouses you already use. Fleece AI supports 2,500+ apps, so your agent can read from and report to every tool your team relies on.
What good looks like
Frequently asked questions
No. You ask questions in plain language and the agent writes and runs the queries for you. It can show you the SQL it generated and explain how it reached a number, but you never have to write a query yourself.
Google Sheets, PostgreSQL, BigQuery, and Notion are common starting points, plus warehouses, CRMs, and spreadsheets across Fleece AI's 2,500+ integrations. For tools without an API, the agent can drive a real browser to read the data it needs.
The agent answers from the live data it queries in your connected sources, not from guesswork, and it can show the query and steps behind any figure. When a question is ambiguous or the data isn't there, it tells you instead of inventing a number.
Yes. Any analysis can become a recurring flow that runs on a cron schedule or a trigger. The agent refreshes the numbers and delivers the report to Slack, a Google Sheet, a Notion page, or wherever your team works.
Most teams connect a data source and get useful answers the same afternoon. Start by asking questions in chat, then turn the ones you ask every week into scheduled reports once you trust the results.