Six Questions Every Accountant Should Ask Before Buying AI

Before buying AI software for your practice, download Bright’s guide to the six questions accountants need to ask of their vendor.

The due diligence guide for accounting practices navigating a crowded and confusing market.

AI is no longer a future consideration for your practice. This guide gives you the exact questions to ask any AI vendor before you sign anything, and shows you what credible answers actually look like.

Whether you’re at the start of your research or already deep in a procurement process, these six questions will sharpen your due diligence and protect your practice from tools that are not built for this profession.

What you will learn about buying AI software tools

In Bright’s guide to buying AI software tools, you will learn:

• Why “probably correct” is professionally dangerous: How large language models actually work, and why that distinction matters in a regulated compliance environment

• The six questions every credible AI vendor should answer: In plain language, with evidence, and in writing

• Where your client data actually goes: Why GDPR does not pause for AI

• How to evaluate accuracy claims: What a Golden Data Set is and why you should demand benchmark results, not marketing statements

• The four minimum standards: Trust, transparency, traceability, and value in AI software for accountants

Why buying the correct AI software matters now

Buying AI software that is built correctly matters because good AI can transform your practice capacity. If the AI you integrate into your accounting practice is built poorly, you create professional exposure that your PI cover may not protect you from.

The Authors of “Six Questions Every Accountant Should Ask Before Buying AI”

The authors of this guide, Séamus Moore and Ben Bishop, wrote it because impressive demos and identical marketing language do not give accountants everything they need to make the right choice when it comes to buying AI software. Because the accounting profession is regulated, carries professional liability, and operates under legislation that changes constantly, vendors must create AI that is built differently from the AI that drafts emails or summarises meetings.