November 9, 2026 · 2 min read

Questions to Ask Before You Buy an AI Tool or Hire an AI Vendor

A short checklist that protects your budget, your data, and your team's patience.

Before you buy an AI tool or hire an AI vendor, ask five things: what specific problem it solves for you, how you'll know it's working, what it needs from your team and data, how your data is protected, and how you would leave. The answers will tell you most of what you need to know, and a vendor who can't answer them clearly is telling you something too.

What problem does this solve for us?

If the answer is about AI rather than your business, keep asking. You should be able to name the task, the person who does it today, and what changes for them on day one.

Be wary of answers like "it transforms your workflow." Ask which workflow, and how.

How will we know it's working?

Agree on one measure before you start, such as time spent on a task, how quickly customers get a reply, or how many errors get caught. If nobody can say how it would be measured, it won't be.

What does it need from us?

Ask about data, integrations, setup time, and the ongoing effort from your team. Plenty of tools are cheap to buy and expensive to keep running, because someone has to feed them, review them, and fix them when things change.

How is our data handled?

Where is our data stored, and who can see it?
Is it used to train AI models?
How long is it kept, and can we delete it?
Will you sign the agreements our industry requires?

What's the way out?

Find out how you would leave. Can you export your data and your work? Is there a long contract? Good partners make it clear that your data and what they build for you stay yours.

Red flags

Promised results before they've looked at how you work.
Vague answers about data and security.
No clear owner for support after launch.
Pricing that can't be broken down.

Our AI Adoption for Leaders training

Questions people ask

01How do I compare AI vendors?

Give each one the same real task from your business, ask the same questions about data, cost, and support, and compare the answers side by side.

02What should an AI vendor contract include?

What's being delivered, how success is measured, how your data is handled, who owns the work, support after launch, and how either side can end the agreement.

03Is it a red flag if a vendor promises specific savings?

If they promise numbers before understanding how you work, yes. Credible estimates come after looking at your actual processes.