How to Choose AI Accounting Software Without Wasting Money

Most AI accounting software is bought badly: a demo impresses someone, a subscription starts, and eighteen months later nobody can say whether it saved anything.

Start with the hours, not the tools

Before looking at any product, work out where your hours actually go. Not where you assume they go — track it for a fortnight. Almost every firm is surprised, and the surprise usually points at chasing clients rather than doing the work.

Test on your worst data

Vendor accuracy figures are measured on clean documents. Your practice does not have clean documents. Take your twenty worst inputs into the trial, because that is where a tool either earns its subscription or does not.

Questions worth asking a vendor

• What happens to accuracy on handwritten or poor-quality documents?
• How much review time does this create, honestly?
• What does it cost at three times my current volume?
• Can I export everything if I leave, and in what format?
• Which parts are actually AI, and which are rules written years ago?

That last question separates real capability from marketing.

Watch the total cost

Per-client and per-user pricing looks cheap at demo scale and expensive at real scale. Model it at the size you expect to be in two years, not the size you are now.

Measure afterwards

Pick one metric before you start — hours on capture per client, days to close, unbilled time — and measure it a quarter later. If it has not moved, cancel. Sunk cost is not a reason to keep paying.