Using AI safely in finance: a policy for a small company

Classify data

Separate public, internal, confidential and highly sensitive information. Bank details, personal data, contracts and tax information should not enter open services without explicit approval.

Even a document fragment may identify a client or transaction.

Define permitted use

List approved tools and common tasks: editing public text, creating an empty template or explaining a general concept. Financial calculations require review.

Prohibit autonomous payments, report filing or accounting-data changes without approval.

Control and training

Short training with real examples is more effective than formal acknowledgment. Teams must recognize confidential data and verify links and calculations.

Create a simple, blame-free channel for reporting accidental uploads or questionable output.

A 30-day implementation plan

Use the first week to map the current process: what data arrives, who reviews it, where delays occur and which errors repeat. Do not automate a step whose purpose is unclear.

In week two, prepare a controlled sample without unnecessary personal or commercial data. During week three, run AI suggestions alongside the current process without allowing autonomous accounting changes. In week four, compare outcomes and approve human-review rules.

What to measure

• Transaction processing time
• Manual correction rate
• Overdue-document count
• Exceptions with documented explanations

FinanceOne perspective

Safe AI use begins with simple rules that the team genuinely understands and follows.

To apply this approach in your business, begin with a review of the current process. Our accounting support service can help establish a reliable foundation for further automation.