Questions to Ask an AI Development Partner Before You Sign
Questions to Ask an AI Development Partner Before You Sign
The quote is stuck again. Someone on the team says, "There has to be an AI for this." By Friday you have three sales calls on the calendar, and every one of them opens with a demo.
The demos look great. That is the problem. Each one shows what the vendor wanted to show. None of them started with the quote that is stuck on your desk.
Choosing an AI development partner is not like buying a tool off the shelf. You are picking the people who will learn how your business works and build something your team will use every day. The right questions up front save months later. Here are nine to ask, in plain words, whether you run a construction company, a care team, an engineering firm, or a flight department.
Do not let the vendor control the demo
There are two kinds of software demos. In the first, the seller walks through the screens they always show. In the second, the buyer keeps interrupting because they are trying to steer. Both go wrong for the same reason: nobody took the time to understand the pain first.
A good demo comes after a real conversation. The partner learns what is broken, then shows you how that one thing gets fixed, and maybe one or two ideas you had not thought of. If the first meeting is a demo, you are watching a pitch, not a plan.
1. What do you need to know about us before you show us anything?
This question tells you more than any slide. A good partner will ask about your day. Where does work get stuck? Who re-types what? Which report does nobody trust?
If the answer is "nothing, let us show you the platform," you are about to get the same demo everyone else got. We wrote about why listening before building saves months. It is the first thing to test.
2. Can you walk one real task from start to finish?
Pick one thing that happens every week. A quote. A change order. A care note that has to reach billing. A flight that has to become an invoice. Ask the partner to follow it from the first step to the last.
Feature lists do not tell you much. One real task, followed all the way through, tells you whether they understand how work actually moves in your business.
3. Where exactly will AI be used, and where does a person decide?
Ask them to name every place AI does something and every place a person has to sign off. Drafting a quote from past jobs is a good job for software. Approving the price is a job for your estimator.
If the answer is "AI handles it," ask again. Good AI business solutions are clear about the line. Vague answers here turn into surprises later.
4. What happens when the AI gets it wrong?
It will, sometimes. That is normal. What matters is what happens next.
Ask how a mistake gets caught, who sees it, and how it gets fixed. Ask whether the system shows its work, so a person can check where an answer came from. A partner who says it will never be wrong is telling you something about how they test.
5. Will this work with the systems we already use?
Most businesses already have accounting software, a scheduling tool, email, and a few spreadsheets that hold everything together. Ask what the new system connects to on day one, and what still has to be typed in by hand.
AI integration is where a lot of projects quietly fail. If the new tool becomes one more place to enter the same number, you have added a step, not removed one.
6. Who owns the code and the data, and can we get it out?
This is the question people forget to ask until it is too late. Ask who owns what gets built. Ask where your data lives, who can see it, and how you would export it if the relationship ended.
A good partner wants to work with you for a long time. They should still be able to tell you, plainly, what a hand-off would look like if it ever came to that.
7. What does it cost after launch, and who keeps it running?
The build is only part of the bill. Ask what the ongoing cost covers. Updates? Fixes? Changes when your process changes? Ask what happens when the AI model underneath it gets replaced by a newer one.
Software that nobody maintains starts to drift the month after launch. You want to know who is watching it, and what you are paying them to do.
8. Who will we actually talk to every week?
The person in the sales call is not always the person building your system. Ask who your day-to-day contact is, how often you will see working pieces, and how fast questions get answered.
Ask to see something small working early, in weeks, not months. Seeing a rough version on your own data is the fastest way to find out if the partner understood you. We walk through what that path usually looks like in from first call to working solution.
9. How will we know it worked?
Agree on one number before anything gets built. Quotes out the same day. Notes reaching billing without a chase. Drawings that are current the first time someone opens them. Hours that reach maintenance without being copied.
If the partner cannot help you name that number, they will have a hard time proving they moved it. Business process automation is only worth paying for if the workflow is measurably better afterward.
Questions to bring to the first call
- What do you need to know about us before you show us anything?
- Walk one of our real tasks from start to finish.
- Name every place AI is used and every place a person decides.
- Show us what happens when the AI gets it wrong.
- Tell us what this connects to on day one.
- Tell us who owns the code and the data, and how we get it out.
- Tell us what it costs after launch and what that covers.
- Tell us who we will talk to every week.
- Help us name the one number that proves it worked.
If the first meeting is all demo and no questions, slow down.
The decision in one sentence
Choose the partner who asks the most about your business before they show you anything about theirs.
You do not need the flashiest demo or the longest list of AI features. You need a team that understands where your work gets stuck, builds around that, and tells you plainly what it will cost and who owns it. That is how we approach custom AI development and AI consulting at GLXY. As we wrote in what AI actually does for a business, the software is the easy part. Understanding the problem is the work.
If you are talking to AI partners right now, bring one real bottleneck and book a short call. We will start with your questions, not our demo.
More buyer guides by industry
These questions work for any business. If you want a checklist for your industry, start here: construction project software, engineering document management, clinical operations software, and aviation operations software.
