Google Sheets Integration

The Google Sheets integration lets your AI employee read, write, and update spreadsheet data. This is valuable for businesses that use Google Sheets for tracking metrics, managing inventory, recording leads, or maintaining any tabular data. Your AI employee can pull data from sheets for analysis, add new rows from conversations, and update existing cells — all through natural language commands.

Google Sheets integration uses a service account for authentication. During onboarding, your setup team creates a Google Cloud service account and shares the target spreadsheets with it. This grants your AI employee read and write access to specific sheets without exposing your personal Google account. You can add or remove sheet access at any time by sharing or unsharing with the service account.

Ask your AI employee to read data from any connected Google Sheet. You can request specific ranges ("show me cells A1 through D10"), entire sheets, or filtered data ("show me all rows where the status column is Pending"). The AI presents the data in a readable format and can summarize large datasets. This is useful for quick lookups, data reviews, and feeding sheet data into other tasks like email drafts or reports.

Add new rows to a Google Sheet by telling your AI employee what to record. "Add a new lead to the tracker: Jane Smith, TechCorp, jane@techcorp.com, $15,000 estimated value" appends a new row with the data in the correct columns. You can also update existing cells — "update the ACME Corp deal value to $50,000 in the tracker." The AI maps your natural language to the correct spreadsheet columns automatically.