Using AI Safely with Financial Data: A Practical Checklist

Financial records contain some of the most sensitive data a business holds: bank details, salaries, customer information and commercial terms. Before using AI with that data, put a few simple controls in place.

1. Check how the AI provider uses your data

Free consumer AI tools may use conversations to improve their models. Business and API plans from major providers generally exclude customer data from model training by default. Read the terms, and don't put client or payroll data into free consumer chat tools.

2. Share only what the task needs

Most tasks don't need full bank details, personal addresses or National Insurance numbers. Remove or mask sensitive fields before data is processed, and give each automation access only to the data it needs.

3. Keep data protection obligations in mind

In the UK, personal data in your finance records is covered by UK GDPR. Know where your data is processed and stored, record what AI tools you use in your data-protection documentation, and make sure your contracts with clients allow it.

4. Keep a person in the loop

AI can be wrong, and it can be confidently wrong. Route low-confidence items to a person, review everything that affects the ledger, and never let AI release payments or file returns on its own.

5. Check outputs against control totals

Every automated reconciliation or report should tie back to a known figure, such as the bank balance, trial balance or VAT return totals. If the control totals don't agree, the output isn't finished.

6. Keep an audit trail

Make sure automated changes are visible in your accounting software's history, with the source document attached. You should always be able to explain how a figure was produced.