AI consulting in Las Vegas: what to expect, and what to ask before you hire anyone

We work from downtown Las Vegas, and most of the businesses we talk to here — trades, clinics, professional services, hospitality suppliers, property teams — have the same operational shape as small businesses anywhere: a lot of repeated work, a few people who know how everything really runs, and not much time to step back and look at it. This is what AI consulting should look like for a business like that, and what to ask before hiring anyone, including us.

What AI consulting is, and what it is not

It is not a software reseller. A consultant whose recommendation is always the product they are licensed to sell is a salesperson, which is a fine job but a different one. It is not a development shop that builds whatever you describe — that is useful once you know what to build, and unhelpful before. And it is not a strategy deck. A deck that says AI is important and lists opportunities by department does not change a single day of anyone's work.

What it is: someone who looks at how your business actually operates, finds the places where repeated work or slow handoffs are costing you, tells you which of them AI or plain automation would help with and which it would not, and then — if you want — builds it, tests it against your real work, and makes sure your team uses it.

What a first call should cover

Your operations, not their slides. A good first call is mostly questions: what does the business do, where does the work pile up, who does it, what systems does it live in, what has been tried. By the end you should have heard a clear opinion about whether there is something worth pursuing, and if so what the next step is.

What should follow is either a written scope with a fixed quote, or a plain "this is not worth your money yet, and here is what to do first." If the follow-up is a proposal to do everything, be careful.

Eight questions to ask any consultant

1. What will you tell me if AI is not worth it for my business? Listen for a specific answer. The right one is that they will say so and tell you what to do instead.
2. Who owns what you build? The answer should be you — code, configuration, documentation, and account access.
3. Will it work inside the tools we already use? Replacing working software is rarely the cheapest route to anything.
4. How will we know it is working? Ask what the test set is. If they cannot describe testing against real cases from your business, the system has not been tested.
5. What happens when it is wrong? There should be a review step sized to the cost of the error, and a person who owns exceptions.
6. What is the fixed price, and what changes it? An open-ended hourly engagement for a build is a risk you are carrying, not them.
7. Who trains my team, and what happens in month three? Adoption is where projects fail. If the plan ends at launch, so will the usage.
8. Can you show me a scope document from a past engagement, with the client's details removed? The shape of it tells you how they work.

In person or remote

The part of the work that benefits from being in the room is the operations walkthrough — watching how a task is actually done, which is different from how it is described. For businesses in Las Vegas, Henderson, North Las Vegas, and Summerlin, we do that on site. The build, testing, and most of the training work well remotely, which is how we work with businesses elsewhere in Nevada and across the country.

Red flags

• Guaranteed returns. Nobody can guarantee what a system will do in your business before it exists.
• A proposal that starts with a tool rather than a task.
• No mention of testing, review steps, or exceptions.
• A plan with no handover — you are dependent on them after launch.
• A recommendation to build everything at once.

What it costs

Our own work is fixed-quote against a written scope agreed before anything starts, so the price is known before you commit and scope changes are re-quoted rather than absorbed quietly. Whoever you talk to, ask for the same.