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02 Get your data in

Business data format

How to prepare revenue, orders, accounts and other structured files so the agent can query and join them.

Optional. You don't need this to get started. Back to the quickstart

Business data is any file of rows and columns that isn’t customer text: orders, renewals, accounts, locations, usage, survey scores. It goes in under Data Sources > Structured data, by file upload, and is queryable within about a minute. It is never enriched. File upload is the only way in today; an API for business data is on the roadmap.

  • A header row with clear column names. Each name becomes a column the agent can query.
  • One grain per file. Decide what one row is (one order, one account per month, one store) and keep to it. Put the grain in the file name, for example orders_by_order_id.csv or accounts_by_month.csv, so the agent knows how to count.
  • A key you can join on. Include the id that also appears in your conversation data: an account id, customer id, order number or store id. Never a raw email address or phone number; if email is the only shared key, use the same hash of it on both sides. See Join business data.
  • Dates in one format. Use YYYY-MM-DD (or YYYY-MM-DD HH:MM:SS). Dates are stored as text, so a column mixing 1/2/2025 and 2025-01-02 can’t be sorted or filtered reliably.
  • Numbers as plain numbers. No currency symbols, no thousands separators, no scientific notation.
  • No personal data you don’t need. Leave out names, emails, phone numbers and addresses (PII redaction).
  • The file-level rules from the conversation format apply here too: UTF-8, no byte order mark, no fully quoted cells, no backslashes in headers.

Each uploaded file becomes its own table, named after the file. A file called September 2026 Closed Won.csv becomes a table the agent queries as "September 2026 Closed Won".

To remove a table you no longer want, email [email protected]; see Re-upload, duplicates and deleting data.

The file checker has a business data mode for these rules: set File type to Business data. To see how many of your keys match your conversation file before you upload either, check the conversation file first, then use its join test.

A small example: business data template.