How to tell if an AI tool is worth paying for

You are going to get pitched a lot this year. Some of it will be good. Most of it will be the same technology in a different wrapper, sold at a markup, to people who cannot tell the difference yet.

You do not need to understand how any of it works to judge it. You need six questions.

1. What happens the first time it is wrong?

Not is it accurate. Everything is accurate in the demo. Ask what it looks like when it fails.

There are two kinds of failure. Loud failures stop and tell you something went wrong. Quiet failures hand a customer a confident, believable, wrong answer.

Quiet failures are the dangerous ones. They are what this technology does by default unless someone built against it on purpose.

So ask: when this is wrong, who finds out, and how fast? If the honest answer is the customer finds out, you want a person checking it before it goes out the door. That is not a flaw. That is just what this thing is. Anyone who tells you different is selling.

2. Can I see it work on my stuff?

Not a demo. Not a sample account with clean data. Your customer list. Your invoices. Your messy job history with the duplicates and the guy who typed everything in caps for two years.

Every one of these tools looks great on prepared data. The whole question is what it does with yours.

If a vendor will not run it on a slice of your real data before you commit, there is a reason. The reason is usually that setup is a lot harder than the pitch said.

3. What does it need from me every week?

Every tool has an ongoing cost in time. Someone has to check it, correct it, feed it, or approve things.

Get that number before you buy, in hours. Be suspicious of zero. Zero means either nobody has run this for real, or nobody is checking whether it still works.

Then be honest about it next to the hours you are supposedly saving. A tool that saves five hours and costs two hours of watching saves three hours. That can still be a good deal. It is just a different deal than the one on the website.

4. If I stop paying, what do I keep?

This one separates a tool from a trap.

If you cancel, do you keep your data in a form you can use? Your customer records, your history, the things it wrote? Or does it all live inside their system and leave with them?

The answer decides your position at every renewal from here on. Ask while you are still a prospect. That is the only time you will get a straight answer.

5. Who is on the hook when it matters?

There is a difference between software you rent and a person who is responsible.

Software has a support email and a status page. When something breaks at 4pm on a Friday and a customer is mad, a status page is not much company.

Neither one is wrong. But know which one you are buying, and price it that way. A cheap tool with nobody behind it is truly cheaper. It is also truly on you.

6. What is the smallest version of this I could try first?

The best answer to almost every AI pitch is let me do the tiny version by hand for two weeks.

If a tool says it will save you hours chasing invoices, spend two weeks chasing them by hand on a schedule. You will learn three things. Whether the problem is as big as you think. What the work really involves. Whether what the tool promises is the thing you actually needed.

Most purchases do not survive this. That is the point. The ones that do, you buy with confidence and a starting number. That means you will actually be able to tell whether it worked.

The tell

Here is the shortcut, if you only remember one thing.

Ask the vendor what their tool is bad at.

Someone who has run this in real businesses will have a quick, specific, slightly tired answer. They have been burned. They know the edges. They will tell you which situations it handles badly, because they would rather tell you now than deal with it in month three.

Someone reselling a wrapper will say it depends on your use case, or change the subject to a feature, or tell you it keeps getting better.

Ask me that question about any skill on this site and I will give you a list. That is how you know the person across the table has actually built something.

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None of these six questions need you to know anything about how AI works. They are the same questions you would ask before hiring a subcontractor. What happens when it goes wrong. Can I see your work. What do you need from me. What do I keep. Who is responsible. Can we start small.

You already know how to make this decision. It is just wearing a new costume.