AI for data analysis
9 workflows. Answer data questions in Slack, check daily loads, fix SQL and send the weekly metrics, so the data team stops being a help desk.
$149/month per workspace · Unlimited people · AI usage billed by your provider
All data workflows.
9 workflows
- Start here Answer data questions in Slack Ask a question in plain words and get the number, with the query behind it. Data · When you ask Works with BigQuery, Supabase.
- Start here Check data for problems Spot missing data, duplicates and sudden jumps before anyone trusts a bad number. Data · On a schedule Works with BigQuery, Supabase.
- Start here Send a weekly metrics digest Key numbers for the company every Monday, with what changed and why. Data · On a schedule Works with BigQuery, Supabase, Stripe, PayPal.
- Chart a metric Get a chart of any metric over time, ready to paste into a deck. Data · When you ask Works with BigQuery, Supabase.
- Explain a dashboard number Know what a number means and how it's calculated. Data · When you ask Works with BigQuery, Supabase, Notion, Confluence.
- Write and fix SQL Get a working query from a description, or fix a broken one. Data · When you ask Works with BigQuery, Supabase.
- Review possible duplicate customers before merging See why two customer records might be the same person, then decide. Nothing merges on a shared name. Data · When something happens Works with HubSpot, Salesforce, Airtable, Microsoft 365.
- Check a data export before importing it Find the broken rows in your spreadsheet before they land in the new system, not after. Data · When you ask Works with Airtable, Microsoft 365, Box.
- Explain CRM and accounting sync conflicts When the CRM and accounting disagree, see both values and who owns the field, then fix it once. Data · When something happens Works with HubSpot, Salesforce, QuickBooks, Xero, Datadog, Sentry.
Where AI helps a data team.
Maito takes the stream of small requests off your analysts. It answers data questions in Slack straight from your database, charts a metric, explains a dashboard number using your docs, and writes and fixes SQL. It checks data for problems on a schedule, sends a weekly metrics digest, and explains CRM and accounting sync conflicts from the logs.
The data team owns what counts as correct. The data team can check any query Maito wrote, and the team fixes the problems a check finds. An authorized person merges duplicate customers, and a person picks the right value when two systems disagree. The owner approves an import. Maito shows its query and its reasoning, and it does not change records on its own.
Start with a question that lands in your queue every week. Connect your database with read access, add the definitions people argue about to your company knowledge, and ask @Maito in a Slack thread. Check the SQL it shows. When people trust it, make the weekly metrics digest a Loop that posts to the team channel.
Questions.
BigQuery and Supabase connect through MCP. Others work through a skill with read-only credentials in the Vault.
Yes. Ask for the query behind any answer and it shows the SQL it ran.
Minutes for the workspace: create it, connect your AI provider and connect Slack. Each workflow then takes one request to your agent, plus signing in to any tool it needs.
No. You set up each workflow by asking your agent in plain words. A repository is only needed for coding work.
$149 per workspace per month, with unlimited people and $20 in cloud credits each month. Your AI provider bills its usage separately.