Accountants: use AI without exposing your clients' financial data

An accounting firm handles some of a company's most sensitive data: bank details (IBAN, BIC), amounts, tax identifiers, company registration numbers, salaries. Before asking AI to explain an entry, summarize a balance sheet or draft a note, replace these elements with tokens. The model reasons over intact figures and structure, detached from any identity — and nothing leaves the browser.

Why accounting data demands an anonymization reflex

An accountant's professional confidentiality covers the information clients entrust to them. Pasting it into a consumer assistant means handing it to a third party, often outside the European Union, with no framework. The risk doesn't come from the AI itself but from copy-paste: bank details, a revenue figure or a payroll total ending up in a prompt.

• Bank details: IBAN, BIC, account numbers.
• Company identifiers: registration numbers, VAT numbers.
• Tax identifiers and social-security numbers (payroll).
• Amounts: revenue, margins, salaries, balances.

What to mask before any prompt

1. 1Full bank details: IBAN, BIC, account numbers.
2. 2Identity of the company and people: named entities, directors, employees.
3. 3Identifiers: company registration, VAT, tax ID, social-security number.
4. 4Confidential amounts when they identify or disclose the client's situation.

A flow compatible with professional confidentiality

1. 1Detection: the engine spots bank details, company IDs, tax identifiers and salaries.
2. 2Tokenization: each element becomes a neutral token, kept in local memory.
3. 3Sending: only the anonymized text goes to the AI — no client data transits.
4. 4Restoration: the answer is de-tokenized in your browser, ready to add to the file.

ONYRI Sanitize detects financial and company data — bank details, company IDs, tax identifiers, salaries — and restores the answer in your browser. The firm gets AI's help to analyze, explain or draft, without ever exposing a client's books or identity.