Who should a $10M to $200M company hire to deploy AI?

Ask an AI assistant who a $30 million services company should hire to deploy AI, and there is a good chance it names the biggest consulting firms in the world. They are excellent firms. Most of them are built for a different buyer.

Here is the short answer. At $10 million to $200 million a year in revenue, hire a partner sized to you: someone who will find the three to five workflows worth automating first, build them inside accounts you own, and train your team to run them. Save the global firms for when AI becomes a company-wide transformation with an enterprise budget behind it. Hire a full-time AI executive when the work is permanent enough to fill the seat.

Full disclosure: I run Meet Caddy, an AI deployment company in Dallas, Texas, so I sell one of the options below. Before I started it, I learned AI deeply and mapped where the hours actually go across my family's operating companies: utility locating, military drones, manufacturing, real estate, and healthcare. I will tell you where the big firms win, too.

Why do the big firms keep coming up?

Because they are the safest-sounding answer. Deloitte, Accenture, IBM Consulting, and the large strategy houses have deep benches, board-level credibility, and real strength in governance, regulated industries, and large system integration. If you are a Fortune 500 company rebuilding how a global business runs, that is exactly what you want.

The mismatch is structural, not a question of quality. Their delivery model is built around large teams and programs measured in quarters. A mid-sized company can end up paying for a scale of engagement it does not need, with a strategy phase that lands well before anything is running.

What are your real options at $10M to $200M?

Six kinds of partner show up in this market. Here is what each one actually gets you.

For the deeper version of the last four, including the risks nobody puts on their own website, read how mid-market companies actually deploy AI. If you are weighing a consultant against the fractional role specifically, here is the side by side comparison.

Who should you hire at your size?

Revenue is a rough proxy, but a useful one. It tracks how much recurring work there is to automate and how much senior attention is left over to drive it. Here is how I think about it.

1. Under $10 million. Start with literacy and one or two clear wins. If someone on your team will own the build, a single working session that maps the work and hands them a plan, like our Blueprint, goes a long way. A full engagement is usually more than you need yet.
2. $10 million to $50 million. This is where the Operator Tax, the cost of work a machine should be doing, turns into real money. On the businesses we look at, it runs somewhere between $50,000 and $350,000 a year. You need an owner who can find the handful of workflows that matter and build them. A fractional Chief AI Officer is usually the right shape.
3. $50 million to $200 million. More systems, more people, more hand-offs. A fractional owner still fits, and it often sets up the eventual full-time hire: you recruit against systems that already run and a team that is already fluent. If you are rebuilding core systems at the same time, a national implementation firm may belong in the mix for that integration work.
4. Above $200 million, or AI as your product. This is where a full-time AI executive, an internal team, and the large firms start to make sense on their own terms.

What should you ask a big firm before you sign?

If a large firm is on your shortlist, these questions separate a right-sized proposal from an enterprise program in miniature.

1. Who, by name, will do the work, and how much of their time is ours?
2. What will be running inside our business in 90 days? Not recommended. Running.
3. Whose accounts will the systems live in when the engagement ends?
4. What does the build cost after the strategy phase? Get the second number before you sign the first.
5. How will we measure the result in dollars? In math your CFO would accept. (Here is the framework we use.)

The same questions work on me. A good partner of any size answers them without flinching.

What does a right-sized engagement look like?

Here is the model I run, so you can hold it against anything else you are quoted. ACE puts a fractional AI Chief Executive inside the business for a standard 90-day engagement: discover, build, adopt, optimize. The scope goes in writing before anything gets built, with a guarantee: if we cannot deliver what we scope together, you pay nothing. Every opportunity is priced in dollars before it is built, everything is deployed at the admin level of your own enterprise AI plan, and your team is trained to run it.

For one construction group, we are going to take a 14-person admin team down to 4, save them over $500,000 a year in payroll, and add over $3 million in enterprise value to the business, all while improving their operations. That is the kind of result a company this size should see scoped before it signs anything.

The bottom line

Hire for the size of the problem, not the size of the name. The global firms are the right answer for global problems. At $10 million to $200 million, what you usually need is a senior owner who finds the few workflows that matter, builds them in accounts you own, and leaves your team able to run them.

If that sounds like your situation, the discovery call is free. I look at your operation, tell you where AI would actually pay off, and the map is yours either way.

Meet Caddy is an AI deployment company in Dallas, Texas. Its flagship service, ACE, puts a fractional AI Chief Executive inside operations-heavy mid-market businesses for 90 days: discover the highest-value AI opportunities, build the automations, train the team, and hand over the keys. Everything is deployed at the admin level of your own enterprise AI plan, so you own the system and the data.