Use case

Automate data entry

Automate data entry — pull the fields from emails, PDFs, and forms straight into your spreadsheet or CRM.

Try it free How approvals work

You ask

“Pull the details from these order emails and add a row to my tracker for each one.”

What the worker does

1
Watch for new emails, PDFs, or form responses as they arrive.
2
Pull out the fields that matter — names, amounts, dates, line items.
3
Add or update the right row in your spreadsheet, CRM, or Airtable base.
4
Flag anything incomplete and wait for your approval on each write.

Result: Read 22 emails, added 22 rows, flagged 2 with missing fields.

Hand off automate data entry

Delegate it once and a worker handles it from here — you keep approval.

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Questions

Can data entry be automated with AI?

Yes. An AI worker can read emails, PDFs, and form responses, pull out the fields you care about, and file them into a spreadsheet or CRM — the repetitive copy-paste work, done for you. Each write waits for your approval.

What can it pull data from?

Inbound emails, attached PDFs and receipts, and form submissions. It extracts the fields you name — names, amounts, dates, line items — and maps them to your columns.

Where does the data go?

Into Google Sheets, Airtable, or your CRM — wherever you keep the record. The worker adds or updates the right row and keeps a full audit trail of every change.

Will it write to my systems without approval?

No. By default every write is proposed and held for your approval, so a bad extraction never lands in your data. You review the flagged rows and approve the rest in one pass.