AI consultant for small businesses: one agent, installed in your systems

An AI automation consultant takes work that people in a business do by hand across its systems and gets an AI agent doing it inside those systems, with someone on the team in charge. The titles vary, from AI automation consultant to AI agent consultant to agentic AI consultant, and so does what gets delivered. A lot of AI consulting ends with a strategy deck, a list of recommended tools, or a workshop, after which the team goes back to software the AI still can't see.

What I deliver is a working operator: one agent connected to the systems the business already runs on, with standing instructions about how the business works, including its services, pricing rules, who handles what and which actions need approval. It has a browser for anything without a clean connection, so it can work through a web page the way a person would. When the pilot asks for something in plain English, the operator carries the job through every system it touches and reports back. The first job is where the install starts. After that, almost any operational work that runs through those systems can be handed to it in a sentence.

Most of the consulting is in the connections: where a lead lands, what turns it into a job, which system holds the customer record and where documents get filed. It's the same handoff work I did in demand generation, where every program depended on marketing, sales and operations passing work cleanly between them.

I work with owners and CEOs of small businesses, where the person deciding what the business should do is close enough to the work to direct an operator or choose who will. I don't specialize in an industry. The shape of the business matters more: work that moves through several systems, a team where the same people sell, deliver and keep the records, and an owner who wants the setup in the company's name.

The work looks different from one business to the next, but underneath it's the same each time: connect the systems, write down how work moves between them, and put someone on the team in charge of the operator.

It's a poor fit when nobody on the team has the time or the interest to direct it. An operator without a pilot drifts, and I would rather say so during the audit than after an install.

Everything I install belongs to the business from the first day, and nothing about the operator depends on me after the handover. This is what stays with you.

Across installs, new leads hear back within five minutes, a new service goes live across the site, ads and social the same day, and one founder now publishes three or four new pages a day. The same operators file documents and log sales calls into the ERP, and give a whole team one place to ask about a job, a customer or a campaign.

Two engagements are written up in full on the work page. At a 9-person builder that was overpaying for software by more than 90%, I migrated the CRM and website in under four weeks. At the other, the owner now runs his own marketing system.

The jobs behind these results, and others an operator takes on, are in the full set of examples, by business function.

Every engagement starts with a growth audit. I go through the systems the business runs on and how work moves between them, and pick the job where an operator would save the most hours across the most systems. The operator takes on that one job first, and each job after it goes faster because the connections it needs are already in place. I've laid out what each side provides at each stage on how it works.

There are four common ways to get AI doing work in a small business, and each one is the right choice for somebody. The difference that matters most is who owns the result and who knows how to run it afterward.