AI consultants are everywhere right now. The good ones can genuinely transform how your business runs. The rest will sell you a tool you don't need, a strategy deck you can't act on, or a pilot that never makes it into real work. The problem is that, from a sales call, they all sound roughly the same. Here are seven questions that quickly separate the operators from the opportunists.
1. "Can you show me something you've actually built?"
There's a difference between someone who talks about AI and someone who ships it. Ask to see real systems they've built and run — products, automations, integrations. People who have actually done the work can show you the work. People who can only show you slides are selling the idea of expertise, not the thing itself.
2. "Will you start with my problems or your tools?"
A good consultant starts with how your business actually works — where the friction is, what the manual work costs, what would move the needle — and only then talks about technology. Be wary of anyone who leads with a specific platform before they understand your operation. Tool-first means you get whatever they sell, whether or not it fits.
3. "How will you handle my data and security?"
AI runs on your data, which means it touches some of your most sensitive information. A serious consultant has clear answers about where your data goes, who can see it, what's retained, and how it's protected. A shrug here is a real red flag — especially if you operate anywhere near a regulated industry or sell to larger customers who will ask.
4. "What happens after you leave?"
The hard part of AI isn't buying it — it's getting a team to use it well after the consultant is gone. Ask how they handle adoption: training, documentation, guardrails, and handoff. A pilot that nobody uses three months later is a cost, not an investment. The best engagements leave your team genuinely able to run what was built.
5. "Are you vendor-independent?"
If a consultant earns commissions or referral fees from the software they recommend, their advice isn't neutral — they'll point you toward what pays them. You want someone whose only incentive is the right answer for your business. Ask directly whether they take vendor kickbacks. The good ones will give you a clear no.
6. "How will we measure success?"
"Adopting AI" is not a goal. Saving the team ten hours a week, cutting a reporting cycle from days to minutes, reducing errors in a process — those are goals. A good consultant ties the work to outcomes you can actually measure and is willing to be held to them. Vague success criteria produce vague results.
7. "Who actually does the work?"
A common pattern: a senior person wins the deal, then execution quietly passes to junior or offshore staff you never met. There's nothing wrong with a team — but you should know exactly who is doing the work and who is accountable. For a small business, working directly with the operator who made the recommendations is usually worth a great deal.
How Summit Labs answers these
Summit Labs is built around exactly these answers: real products in production as proof, a problem-first approach grounded in 15+ years of enterprise delivery, bank-grade data and security discipline, adoption and training baked into every engagement, full vendor independence, outcomes tied to measurable results, and one operator — Rob — leading every engagement personally, with no junior bait-and-switch. If you're weighing AI for your business, a good first step is the free AI Readiness Quiz, or you can book a discovery call to talk it through. You can also see the full range of consulting services on offer.
Common questions
- How do I choose an AI consultant for my small business?
- Look for someone who has actually built and shipped working systems (not just advised), who starts with your business problems rather than pushing a particular tool, who is vendor-independent, who has a real plan for adoption after they leave, and who can tell you exactly who will do the work. Ask to see something they've built and how they measure success.
- What questions should I ask an AI consultant before hiring them?
- Seven worth asking: Can you show me something you've actually built? Will you start with my problems or your tools? How do you handle my data and security? What happens after you leave? Are you vendor-independent? How do you measure success? And who actually does the work?
- What are the warning signs of a bad AI consultant?
- Tool-first pitches before they understand your business, no real examples of shipped work, vague deliverables, hidden vendor commissions, no plan for team adoption, and a senior person who sells the deal but hands execution to junior or offshore staff you never met.