Choosing an AI development partner is mostly a vetting problem, not a technology problem. The right questions surface whether a partner understands your business, builds responsibly, and won’t lock you into a fragile, expensive system you don’t own. Ask the ten below before you sign anything — the answers separate a real partner from a vendor selling hype.
Here’s what to ask, why it matters, and what a good answer sounds like.
1. Do you understand my business, not just the tech?
A good partner asks about your customers, your margins, and your bottleneck before proposing a solution. If the first conversation is all about models and frameworks rather than your problem, that’s a flag. AI is a means to an outcome — they should care about the outcome first.
Good answer: They reframe your goal in business terms and propose the smallest thing that moves it.
2. Will you start small with an MVP?
The best AI projects start with one narrow, high-value use case, prove it, then expand. A partner who wants to build everything at once is either inexperienced or padding the invoice. Small first builds de-risk your spend and surface problems while they’re cheap to fix.
Good answer: “Let’s pick one workflow, ship it in a few weeks, and measure the return before we scale.”
3. Who owns the code, the data, and the accounts?
This is the question that protects you most and gets asked least. You should own your code, your data, and your API accounts — full stop. Some shops keep everything on their own keys so you can’t leave. Get ownership in writing.
Good answer: “You own all of it. Code in your repo, data in your accounts, keys in your name.”
This matters more than it sounds. When a supplier goes dark — and they do — the businesses that recover quickly are the ones who already held their own domain, accounts and backups. It’s the same lesson as what happens when your web host disappears: whoever controls the accounts controls how fast you can leave.
4. How do you control AI running costs?
AI usage costs money per request, and a careless build can quietly run up a bill that erases your ROI. A real partner designs for cost — caching, choosing the right model for each task, batching, and setting usage limits. Ask specifically how they’ll keep your monthly spend predictable.
Good answer: They talk about model selection, caching, and spend monitoring without you prompting it.
5. How do you handle security and privacy?
Your AI will touch real data — customer records, documents, internal info. Ask where data is stored, whether it’s used to train third-party models, how access is controlled, and how they handle compliance (GDPR, HIPAA, SOC 2) if it applies to you.
Good answer: Clear data-handling practices, no training on your data without consent, and honesty about what they can and can’t certify.
6. What happens after launch — who maintains it?
AI systems aren’t “set and forget.” Models change, APIs update, prompts drift, and edge cases appear in the wild. Ask what maintenance looks like, how issues get caught, and what the ongoing cost is. A build with no maintenance plan is a build that breaks silently.
Good answer: A clear support arrangement with monitoring, not “call us if it breaks.”
7. Can you show references or past work?
Real partners have shipped real things and can talk about them — what they built, what worked, what they’d do differently. Be wary of anyone who can only show demos or talk in generalities. Case studies and a reference call you can actually make are worth more than any pitch deck.
Good answer: Specific examples with outcomes, and a client willing to vouch for them.
8. How will we communicate during the project?
Slow, vague communication kills projects. Ask how often you’ll get updates, who your point of contact is, and how they handle questions and changes. You want a partner who’s responsive and plain-spoken — not one who disappears for two weeks and resurfaces with a surprise.
Good answer: A clear cadence, a named contact, and a way to see progress as it happens.
9. Are you honest about what AI can’t do?
This may be the most revealing question of all. AI is powerful but not magic — it hallucinates, struggles with some tasks, and isn’t right for every problem. A trustworthy partner will tell you when AI is the wrong tool, or when a simpler automation would serve you better and cheaper.
Good answer: They’ve talked you out of something at least once. That’s a partner, not a salesperson.
10. How does your pricing work?
You should understand exactly what you’re paying for: setup vs. ongoing, fixed vs. hourly, what’s included, and what triggers extra cost. Vague pricing today becomes scope-creep invoices later. Clarity here predicts how the whole relationship will go.
Good answer: A transparent breakdown you can plan a budget around, with no mystery line items.
The 10-question checklist
Bring this to every conversation. The pattern of answers tells you more than any single response.
Your AI partner vetting checklist
- Do you understand my business, not just the tech?
- Will you start with a small MVP?
- Who owns the code, data, and accounts? (Answer must be: you.)
- How do you control AI running costs?
- How do you handle security and privacy?
- Who maintains it after launch?
- Can you show references and past work?
- How will we communicate during the build?
- Are you honest about AI’s limits?
- How does your pricing work?
How to read the answers
No partner will be perfect on all ten. What you’re listening for is honesty and specificity. Vague, defensive, or overly salesy answers — especially on ownership, cost control, and AI’s limits — are the ones to walk away from. Confident, plain-spoken answers, even when the answer is “that’s not a good fit for AI,” are the ones to trust.
| Green flags | Red flags |
|---|---|
| Asks about your business first | Leads with buzzwords and demos |
| Proposes a small first build | Wants to build everything at once |
| You own code, data, and keys | Keeps everything on their accounts |
| Talks cost control unprompted | Vague about ongoing AI spend |
| Admits what AI can’t do | Claims AI solves everything |
| Clear, transparent pricing | Mystery line items, scope creep |
These are the standards we hold ourselves to at LYVTech — small first builds, you owning everything, honest talk about cost and limits, and maintenance that actually keeps things running. Not because it’s a sales pitch, but because it’s the only way AI projects succeed.
The bottom line
The right AI development partner understands your business, starts small, hands you full ownership, controls cost, takes security seriously, and tells you the truth about what AI can and can’t do. Ask all ten questions before you commit. The partner who answers them clearly and honestly is the one worth hiring.
Looking for a partner who’d pass this checklist? Get in touch for a no-pressure conversation. Bring the ten questions — we’ll answer every one, and tell you honestly whether AI is even the right move for your business.
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