How to sell accounting and financial data to AI companies
How accounting firms and finance teams can license ledger, reconciliation and close data to AI labs, export it from Xero or QuickBooks, and protect clients.
By Databounties Editorial Team · Updated 6 October 2026 · 6 min read
Key points
- AI labs want real bookkeeping, reconciliation, close and audit workflows so they can train accounting agents.
- The most valuable data covers many years, many entities and the adjustments behind the final numbers.
- Accounting practices must check client engagement letters, because client data may not be theirs to license.
- Client names, bank details and personal data must be anonymised. Transaction patterns keep their value.
Accounting is one of the main areas where AI labs are building agents that do real work: categorising transactions, reconciling accounts, preparing month-end close and supporting audits. To train and test them, they need years of real ledgers and the human judgement recorded alongside them. Finance teams and accounting practices hold exactly that.
What buyers want
- General ledgers and journals covering several years, ideally across many entities.
- Bank reconciliations, including the matching decisions and unreconciled items.
- Close packs: accruals, prepayments, adjustments and the working papers behind them.
- Audit workpapers and reviewer notes that show how errors were found and corrected.
- AP/AR records: invoices, credit notes, payment runs and dunning.
- Tax workings for VAT, corporation tax and payroll, where you have the right to share them.
Records of corrections and judgement calls are often worth more than the final numbers, because they show AI how an expert actually works.
Practices vs in-house finance teams
In-house finance teams generally own their company's financial data, so the main work is anonymising counterparties and staff.
Accounting practices need to be more careful. Client data is often processed on the client's behalf, and engagement letters may restrict its use. Review your terms, consider getting client consent, and keep in mind that data about how your practice operates (workflows, review notes, templates) is usually simpler to license. See is it legal to sell company data?
Exporting from common systems
- Xero: API access to journals, invoices, bank transactions, contacts and tracking categories.
- QuickBooks Online: API and report exports for the general ledger, transactions and reconciliations.
- Sage: database or CSV exports, depending on the edition.
- Practice management tools: exports of tasks, review notes and time records.
What to anonymise
- Client and counterparty names: tokenise them consistently so patterns survive.
- Bank account numbers, sort codes, card details and tax references: remove them.
- Employee and individual names in payroll and notes: remove or tokenise.
- Free-text descriptions on transactions, which often contain names: redact them.
Full method: how to anonymise business data.
Sources
- 1.Accounting API overview
Xero Developer
- 2.QuickBooks Online API: get started
Intuit Developer
- 3.Controllers and processors
Information Commissioner's Office (ICO)
Frequently asked questions
Can an accounting practice sell its clients' data?
Only where engagement terms allow it and the data is properly anonymised. Practices often process client data on the client's behalf, which limits what they can license. Review engagement letters and take advice. Data about your own firm's operations is simpler.
What accounting data is most valuable to AI companies?
Multi-year general ledgers with the journals, reconciliations and adjustments behind them, month-end and year-end close packs, audit workpapers, and the reviewer comments that show how mistakes were caught and fixed.
How do I export data from Xero or QuickBooks?
Both offer report exports and APIs that can pull full journal history, contacts, invoices and bank transactions. For large multi-entity histories, API-based extraction is usually best. We can help with this during the export stage.
