Why AI companies want finance and accounting data
Finance work is rule-heavy and exception-heavy at once: reconciliations that don't tie out, approvals that need a second look, closes that slip. Documented finance operations teach agents precision and control.
What's licensable in finance and accounting
| Data | Examples |
|---|---|
| Close checklists | Month-end and year-end procedures |
| Reconciliation procedures | Bank, AP/AR and intercompany reconciliations |
| Approval workflows | Spend thresholds, sign-off chains |
| Reporting processes | Variance analysis, management reporting |
| Policy documents | Expense, procurement and revenue recognition policies |
What to leave out
Account numbers, client financial records held by accounting firms, payroll and anything covered by professional confidentiality. See client data vs. company data.
How to raise your value
Accounting firms: your internal methodology and review checklists are yours. Client books are not. Connected records (the SOP, the work done under it and the outcome) are worth more than isolated files. More in what drives data value.
Do you qualify?
- Strongest fit: 20+ full-time office employees (10+ for accounting firms, 6+ for law firms). Smaller teams are reviewed case by case.
- Written processes and established documentation
- English-language docs
- US-based companies get priority
Take the 60-second estimate to see which payout tier fits your company.
Frequently asked questions
Can finance and accounting businesses sell their data to AI?
Yes. Companies in finance and accounting with documented processes can license operational data such as SOPs, workflows and training materials. Strongest fit is 20+ full-time office employees (10+ for accounting firms, 6+ for law firms); smaller teams are reviewed case by case. Published payouts start at $100K and deals can range up to $2M.
What finance and accounting data can't be sold?
Account numbers, client financial records held by accounting firms, payroll and anything covered by professional confidentiality.
- Published enterprise data program terms (2026)