For a lot of small business owners, AI was introduced as a content tool.

Write me an Instagram caption, give me 20 Reel ideas, draft an email, turn this blog post into social media content.

And to be fair, AI is very good at helping with those things.

But I think that introduction created a fairly limited idea of what AI is actually useful for.

Because if AI is helping you create twice as much content while you are still spending hours organizing notes, rewriting the same emails, preparing for meetings, updating project plans, digging through information, and trying to remember what needs to happen next, I’m not sure AI is solving the most useful problem in your business.

I am much less interested in how much more content AI can help you create than I am in how much repetitive work it can effectively take off your plate.

To me, the better question is not:

What can I make with AI?

It is:

What am I still doing over and over again that probably does not require me to personally do every step?

That is where AI starts becoming much more interesting (and for me, a lot more valuable).

Start with the work, not the AI

One of the easiest mistakes to make with AI is opening a tool first and then trying to figure out what to do with it.

I would reverse that.

Start with your business.

Look at what actually happens during a normal week.

What do you repeatedly write, organize, review, summarize, or move from one place to another?

What requires the same kind of thinking every time?

What takes you 30 minutes but only really needs five minutes of your judgment?

What do you consistently put off because it is tedious, repetitive, or mentally draining?

Those are much better places to start than asking ChatGPT for a list of things it can automate.

I have become increasingly interested in AI from an operational perspective for exactly this reason.

I do not want another tool that gives a business owner more things to experiment with, I want AI to remove work that truly doesn’t need us to do it.

You can easily spend four hours building an elaborate AI workflow that saves you ten minutes a month.

That’s not the way.

The goal is to find work that happens often enough, takes enough time, or creates enough friction that improving it actually makes a tangible difference for you.

Let AI handle the first pass

One of the most useful roles for AI is simply getting you from nothing to something.

Not necessarily something finished, but something you can react to.

That first pass can take a surprising amount of time in a business, in a lot of different areas.

For example, let’s say you finish a meeting and have a page of messy notes.

AI can organize them, pull out decisions, identify action items, and turn them into a usable project plan.

Or maybe you’ve collected a stack of feedback from clients or customers.

AI can look for recurring themes and surface the questions, frustrations, or patterns that show up repeatedly.

Or you need to prepare for a call.

AI can help organize the background information, summarize what has already happened, and give you a cleaner starting point.

Let’s say you’re reviewing a document.

AI can look for gaps, repetition, confusing sections, or questions that have not been answered.

You still make the decisions, you still apply the judgment, but you no longer have to manually do every step that comes before the important decisions.

That is often where AI creates the most practical time savings.

AI does the first pass. You provide the judgment.

I think that is a much healthier way to think about it than expecting AI to replace your thinking altogether.

Your marketing should still start with an idea

Content is still one of the places AI can be extremely helpful, I just don’t think it should be where the thinking starts.

There is a big difference between asking AI:

“Write me five Instagram posts about gut health.”

and giving it something substantive you already created and asking:

“What are the strongest ideas in here, and where else could I develop them?”

The second approach keeps your expertise at the center.

Here’s an example workflow of a good use case for AI:

Let’s say you write one strong article and you record a video based on it.

AI helps identify the sections that could become short-form clips, useful email angles, frequently asked questions, social posts, or ideas worth expanding into future content.

Now AI is helping distribute and develop your thinking instead of constantly inventing new things for you to say, which is a very different use of the tool.

Think in roles, not random prompts

This is where my thinking around AI has changed the most.

I used to think about AI mainly in terms of individual tasks, but now I find it much more useful to think about roles.

What jobs exist inside the business?

What responsibilities belong to those jobs?

And which parts of those responsibilities could AI support?

Maybe your business needs a research assistant that helps gather and organize information before you make a decision.

Maybe you need a content strategist that can look at your existing ideas and help identify where there is more value to develop.

Maybe you need a project coordinator that can turn meetings into tasks, track what is still open, and help keep projects moving.

Maybe you need an operations assistant that can review processes and help document how things are done.

Maybe you need a marketing analyst that helps you look at what is working rather than simply producing more marketing.

You do not necessarily need a different AI tool for every role.

The point is to get more specific about the job you are asking AI to perform.

What information does it need?

What should it pay attention to?

What decisions can it help prepare?

What should it never decide on its own?

Where do you need to step back in?

One of the questions I have become a little obsessed with is how much of a small company’s org chart can be supported by AI.

Not because I think every person should be replaced (I definitely do not).

But when you look closely at almost any role, there is usually a portion of the work that involves collecting information, organizing it, drafting something, checking something, or moving a process forward.

This is a great example of where AI can start becoming truly useful.

Keep the work that actually needs you

This becomes especially important in a wellness business.

There are things AI should help with, and there are things that absolutely still need your judgment, expertise, context, and human relationship.

A practitioner does not become more valuable by personally formatting every set of notes or rewriting the same logistical email for the hundredth time, so that’s a great place for AI.

But your perspective with a client, your reasoning, the way you listen, the nuance you bring to a conversation, these all belong to you and can’t be outsourced to AI.

The decisions where context, ethics, professional judgment, or real human connection are required should not simply be handed off because AI is capable of generating an answer.

The goal isn’t to remove yourself from your business and hand everything over to a robot, it’s to remove yourself from work that does not need you.

Do a simple AI audit before you build anything

Before you add another AI tool or build another workflow, spend a week paying attention to the work you are already doing.

As tasks come up, sort them mentally into three categories.

Only I should do this.

These are the things that require your expertise, judgment, relationship, perspective, or decision-making.

AI could help me do this.

You still own the work, but AI could research, organize, summarize, compare, draft, or prepare something before you step in.

AI could probably handle most of this.

These are repeatable tasks with a clear process where your role is primarily to review the result.

Then do not try to automate everything.

Look for the handful of tasks in the second and third categories that happen frequently enough to matter.

If something takes you 45 minutes every week, improving it is probably worth exploring.

If something takes five minutes once every three months, leave it alone.

The goal is to use AI where it creates meaningful capacity.

Build AI around the business you actually have

This is also how I approach AI implementation with wellness businesses.

We do not start by asking which AI tool is the most exciting.

We start by looking at the business itself.

Where is time being spent?

Where is work getting repeated?

Where are things getting stuck?

Where does the owner need to be involved, and where are they involved simply because nobody or nothing else is doing the work?

Then we can decide where AI actually belongs.

Because the best AI system is not the one with the most automations.

It is the one that gives you more capacity to do the work that matters.