What does an AI operating system actually look like in a small business?

An AI operating system is not one tool. It is a small set of layers that work together: a written record of how your business actually runs, connections to your live data, an assistant that can read both, and automations that handle the repeatable work on a schedule. In practice it looks surprisingly ordinary – a morning report in your inbox, meeting notes that file themselves, follow-ups that go out without you remembering. The difference from “we use ChatGPT” is that nothing depends on someone remembering to ask. The system already knows your business and already has the job.

Why doesn’t “we use AI” describe anything?

Saying you use AI means pretty much nothing to me right now because it could mean so many different things that I essentially have to ask you a follow-up question. The most common definition of AI is what you get out of a ChatGPT tab where you’re asking questions back and forth with ChatGPT. But being in the space, I know it’s a lot more than that now.

This could also mean that you’re using an AI feature in one of the tools you use. Yes, that’s technically also AI, even though the tool itself isn’t. And since AI is getting more and more popular by the day, pretty much every major tool that people use for business has some sort of AI feature within it.

You could be using the AI tools that people tend to dislike, such as the AI image, video, and music generators. This is the main problem that people have with AI right now because a lot of this content is truly slop.

Or you could be among the people who are starting to branch out and experiment. Those being the ones who are using agentic AI such as Codex, Claude Code, or Claude Cowork to actually get things done.

And so you can see why all of these lead to me needing to ask clarifying questions. And in terms of AI for business, a lot of these still end up just acting like tools that don’t actually get things done when nobody’s operating them. Unless you are among the last people in the list that I just mentioned of the ones using agentic AI, you’re probably coming nowhere close to getting AI to operate for you on your behalf. You’re using AI as a tool and not a system.

And it’s exactly that system that I want to push people towards. The AI system that I’ve set up for myself and for my clients is actually getting work done. And it’s work that is getting done when the business owner isn’t even asking for it. It’s work that just happens because that’s how it’s set up. And the specific system that I set up is called an AI operating system (AIOS). The AIOS is an AI engine that knows your business and is able to perform different jobs and tasks for that business.

What are the layers of an AI operating system?

This version of an AI operating system consists of five layers.

Firstly, context: This is everything about the business written down so AI can reference it. It’s essentially your AI knowledge base. I have my clients sit down with AI and let it interview them on their business and ask questions like, how does the business run? Who’s responsible for what? Who are your clients, what’s your strategy, so on and so forth. This is a layer that everything else depends on because AI will reference all of your strategy and knowledge to make informed decisions for the business.

Next up is data: This is the ever-changing KPIs and communications of your business. You set AI up to track your numbers, the meetings in your calendar, the messages in your inbox, and the transcripts from your meetings. It’s updated daily, so AI has a live tracker of where your business stands.

Next up is the Intelligence layer: With the combination of the context and the data layers, the intelligence layer is what the AI can figure out and communicate back to you. It’s an assistant that reads both of the above layers and answers like somebody who works in your business and tells you what is going right or wrong.

After that is the automate layer: This is a layer where AI actually starts to do things for you. You set up AI agents through the AIOS to get specific tasks done. And so all the repeated work that happens regularly is taken over by AI, freeing up your time.

Lastly is the build layer: The build layer isn’t so much an actual AIOS layer as it is what you get back from AIOS. It’s what the AIOS frees you to do. And so you’ll hear the classic line of working on the business rather than in it. But this is exactly what this layer is about. When AIOS takes over your work and tracks how your business is doing, it gives you the capacity to grow the business.

And we go in order of these layers because it does matter. The first two layers create the foundation for tracking data. The intelligence layer uses them to tell you what’s wrong. And then you start automating, because when you start automating, you link up those automations into those previous three layers. When an automation creates some sort of data, it gets tracked by the data layer. When you want a new automation that is very strategy heavy, you work with the context layer to create that strategy first so the automation does what’s correct. And when an automation goes wrong, the intelligence layer helps you correct it and get it back on track.

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What does a normal day with one actually feel like?

Everybody who uses an AIOS experiences it a little differently because these are highly customizable. Here’s a brief look at what mine looks like:

Firstly, every 7 a.m. I get a morning brief that lands in my Telegram bot channel. It tells me yesterday’s numbers, today’s calendar, what needs attention. And it’s pulled from my business context and up-to-date business data. The AI writes it for me and prioritizes what I need to do today.

Every client meeting I have, I put my Fathom recorder on. And after the meeting, I can go to my workspace and ask AI exactly what we talked about, what I need to follow up on, and what they promised to me as well. It’s very useful for keeping up with people I now work with and my leads.

Weekly, I have it run research and analytics on my marketing. This way I can find new topics to talk about and make sure I am doing what’s best for my different channels.

I’ve got a few automations running to get work done for me so I can spend time on more important things. And if I ever need something that I can’t find, I can simply go to my workspace and ask AI where it is or what I’m thinking of.

And I mentioned that everyone experiences it differently, And that’s not a bad thing. To use a couple of clients as an example, one of them is a book publisher and the other is a brand strategist. The book publisher is using it for a lot of her book admin items as well as project management for the individual book projects that she has, while the brand strategist is using it a lot more for her actual brand strategy knowledge. She has a goal of thought leadership and she’s using AIOS to help coordinate our marketing with her brand.

The AIOS is really meant to adapt to the business that it’s being set up for. It can be useful for somebody like an electrician trying to make sure all of his employees are getting their jobs done at their sites, all the way to a marketing agency making sure each client is getting new leads. Instead of you using the tool that has AI, AI is learning and working with you to create a system for your business.

Do you need to be technical to run one?

If you want to run one yourself, you do not need to be technical. And while, yes, there might be a slight learning curve, I do believe anybody who can explain something to a new hire can direct an AI operating system. Most of my clients, in fact, are non-technical. They come to me to fast track setting it up, but I’ve been able to train everyone on taking it over and actually running it and getting results from it. The AI agent is producing code, But none of my clients need to know code and they usually never look at the actual code files. All they simply do is explain what they want the AIOS to do in plain English.

It does require some setup from a founder though. The context layer is the biggest one there. If you’ve never thought about how your business works, this might trip you up. If you have no documentation or you’ve never even thought about writing it down, even without the AIOS, this might be a good thing for you to do for your business. But for the context layer, you will really benefit from explaining to AIOS how your business works, its strategy, and all that, but also the decisions only you, the owner, can make. The more information it has about the decisions you do and how you treat them, the more it’s able to pull from that knowledge that you gave it and make those same informed decisions for you.

In terms of creating AI workflows and automations, this is just as simple. In fact, you probably already have documents that exist that will make this even easier. An AI skill is simply a standard operating procedure for AI to complete a task. The tasks in your own business probably have standard operating procedures of their own. And so for all digital tasks, you can most likely hand off an SOP to an AI and tell it to make a skill out of this. You’ll need to do some tweaking to make sure AI can actually do it, but in maybe an hour or two with no real technical skill, you’ll have AI taking over one of your tasks.

How is this different from just hiring a VA or an ops person?

For every task that has a standard repeated result and it’s done on a computer, then it probably doesn’t need somebody hired for it. AI thrives on instructions and if you give it a detailed instruction list for a result that’s supposed to be the same every time, pretty much all those tasks can be handed to AI.

On the other hand, if the task needs someone to be human, that’s where you should be hiring. I feel like it’s going to be more and more important to hire for relationships than hiring for ability to complete a task. I think the people skills that we develop and that you hire for are what’s going to set you apart if you’re using AI. AI can do coordination, can handle simple tasks, and it’s already going to give you time back on your plate. But it doesn’t have the human taste, judgment, or craft that you’re looking for. So it’s going to be more important to hire the right person to handle all of those things but since you already have that time back you can go and spend it on hiring that right person.

AI is going to enable larger companies on leaner teams. A founder and a small team of two to five with an AI system like AIOS will start performing on par with a business with a team double to triple that size. Since AIOS can start handling the majority of the repetitive tasks, the team will be focused on networking and client relationship building, and that will be a much larger lever in building and growing the business than having a team whose responsibility is just getting tasks done.

What’s the smallest version worth building?

You don’t want to build everything all at once. I told you the AIOS is in layers and so there is a step-by-step process for building each one. And I actually walk my clients through that process every time I set one up because if I don’t, it’s disorganized and tends to break. So if you go back to that section, I mentioned context being first.

If you have documents prepared or if you just want AI to interview you, no matter how you get your context to AI, your results will be better. And this isn’t just for an AIOS, it’s for pretty much any direct interface talking to AI. So that’s ChatGPT and Claude, all the way up to the agentic Claude Code and Codex. The fact that AI has the context is what sets it apart from a generalized answer. If you’ve had struggles in the past with ChatGPT, not knowing your business and you having to essentially refeed it a document on your business every time to get the right answer, this is what I mean. If you set up a context folder in a project in Claude or ChatGPT with all of your business context, right off the bat you can see the answers are better.

So the first step in building your AIOS to get those answers to be specific to your business is laying out what your business does, your strategy, et cetera. A very easy way to do this is just to ask AI to interview you about your business. Ask it to interview you about every aspect of your business, every department, every task, every piece of strategy, and then ask it to ask follow-up questions for things that are unclear, tell it to be thorough, and tell it to keep going until it thinks it has everything it might need to answer any bit about your business. Then ask it to organize it into a context folder and to reference that context folder anytime it needs information on your business.

From there, you can start implementing the next few layers. For the data layer, you can ask your Claude Code or Codex to help you set up scheduled data collection for all of the different things you track in your business. For the intelligence layer you can have it help you set up a Telegram bot so you can talk to your AIOS workspace while remote. And for the automate layer, you can ask AI to help you set up automations and workflows for specific tasks through SOPs or just explaining the task.

Frequently asked questions

What is an AI operating system? An AI operating system (AIOS) is an AI engine that knows your business and performs jobs and tasks for it. It’s not one tool: it’s a set of layers holding your business context and live data, so work happens without anyone remembering to ask.

What are the layers of an AI operating system? Five layers: context (everything about your business written down), data (your KPIs, calendar, inbox, and meeting transcripts tracked daily), intelligence (an assistant that reads both and tells you what’s going right or wrong), automate (AI agents taking over repeated tasks), and build (the capacity you get back to grow the business). The order matters, and context comes first.

Do you need to be technical to run an AI operating system? No. Anybody who can explain something to a new hire can direct one. The AI produces code, but you never need to read it; you explain what you want in plain English. The real work from the founder is describing how the business runs and the decisions only the owner can make.

Is an AI operating system a replacement for hiring? No. Tasks with a standard repeated result done on a computer can go to AI, but tasks that need human taste, judgment, or relationships still need the right hire. It changes what your next hire looks like: you hire for people skills and judgment instead of task completion.

What is the smallest AI operating system worth building? Start with the context layer. Ask AI to interview you about every part of your business, then organize the answers into a context folder it references every time. From there, add scheduled data collection and automations for specific tasks. Building everything at once gets disorganized and tends to break.

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Featured image: Photo by Laura Ockel on Unsplash