What a Monthly AI Advisor Actually Does (And Whether You Need One)

There is a thought a lot of independent experts have. It goes: I should really figure out this whole AI thing. It shows up on a Tuesday, between two client calls. You nod at it. You mean it. And then the day fills up, the week fills up, and the month passes. The thought comes back next month, a little louder, a little more tired.

I want to talk about that thought honestly. Because most of the advice around it is either fear (you are falling behind, hurry) or hype (this one tool changes everything). Neither is useful when you are one person who is also the whole business. So let me describe, plainly, what a monthly AI advisor does, what it costs, and who does not need one.

Why is keeping up with AI so hard?

Because keeping up is itself a job, and nobody is paying you to do it. The tools change every few weeks. What was true in the spring is half wrong by the fall. To actually use AI well in your work, someone has to watch what is new, test it against real tasks, throw out the ninety percent that is noise, and figure out where the useful ten percent fits your specific way of working. That is hours. Quiet, unglamorous, uncompensated hours.

A big company assigns that job to a person or a team. You do not have that person. So the job lands on you, on top of seeing clients, doing the work, running the invoices, and being the reason the business exists at all. It is no wonder the thought keeps sliding to next month.

What does a monthly AI advisor actually do?

A monthly AI advisor takes on the keeping-up job so you do not have to. Each month I look across your workflows, find where AI can genuinely help, decide together with you where your judgment has to stay, build the specific skill or workflow or playbook you need, and keep it current as the tools change. You bring the expertise and the final call. I bring the AI and operations lens, the research, and the structure.

The month tends to have a rhythm. It looks something like this:

• Look: we go through your actual workflows and find the spots where AI could help and the spots where it should not touch anything.
• Decide: we agree on what AI can assist with and where your judgment stays in charge. This part is not optional.
• Build: I make the one thing that will help most this month. A skill, a workflow, a playbook you can actually use. Not a pile of ideas.
• Maintain: I keep what we already built working as the tools shift underneath it, so it does not quietly rot.

Notice what is not on that list. There is no dashboard you have to learn. No twelve-week program. No homework that piles up. The point is that the keeping-up happens whether or not you had a good month.

How is this different from a one-time AI setup?

A one-time setup gives you a snapshot. An advisor gives you something that stays alive. Someone can come in, set up your tools, hand you a document, and leave. For a few weeks it feels great. Then a model updates, a tool changes its pricing, a better way appears, and the snapshot starts to age. Six months later you are roughly back where you started, with a document that describes a world that no longer exists.

The whole reason this is monthly is that AI is not a project with an end. It is a moving thing. The value is not in the first setup. It is in the fact that someone keeps watching after the setup, so you never fall behind again in a way you have to notice.

How much does an AI advisor cost?

My Advisory is $2,500 USD per month. I want to be plain about the number because vague pricing is its own small dishonesty. That is a real cost, and it should sit next to a real question: what is your own time worth, and how many hours a month would you otherwise spend testing tools you will mostly throw away?

For comparison, a full-time senior AI hire runs well into six figures a year, and no independent practice needs that. The monthly model exists so you can get the watching and the building at the size of your business, not the size of a company that has a whole department for it.

Do I need a full-time AI person or an advisor?

If you are the business, you almost certainly need an advisor, not a hire. A full-time AI person only makes sense when there is a full-time amount of AI work, which usually means a real team and real headcount. When it is just you, a fractional arrangement fits the actual shape of your need. You get someone senior thinking about your AI a few times a month, without carrying a salary, a role you have to manage, or a person whose job is uncertain the moment the work slows down.

The goal was never to make you a person who keeps up with AI. It was to make sure your work has that person, so you can go back to being the expert.

Who does not need this?

If you have the time and you genuinely enjoy tinkering, you probably do not need me. This is the honest part. Some people find AI fun. They read the release notes, they try the new tools on a Saturday, they like the fiddling. If that is you, keep going. You will do fine, and you will save the money. An advisor is not a moral requirement. It is a way to hand off a job you do not want and do not have time for, to someone who does it as their work.

You also do not need this if AI genuinely does not touch your work in any meaningful way, or if you are at a moment where your energy belongs somewhere else entirely. I would rather tell you that than sell you a monthly line item you do not want.

But if that thought keeps coming back, month after month, and it never turns into anything because there is no time and no one to hand it to, then that is exactly the gap this fills. You keep the judgment, the relationships, the reason people come to you. I keep the rest current in the background. If that sounds like the right trade, the Advisory is at /advisory.