What does an AI consultant actually do for a company?

On an intro call, a business owner asked me a simple question. What would you actually do for us? It is a fair question. "AI consultant" can mean almost anything right now. My answer has two main parts. First, I connect your tools, your ERP, your email, everything, into one centre system that people can talk to. Second, I automate the menial tasks that eat up people's days. Around both of those, my job is making sure what we build actually gets used.

What does connecting your tools actually mean?

Most companies have their information in many places. The ERP is in one place. The email is in another. Everything else is scattered around. So the first thing we do is connect all of that.

The goal is one centre system that is able to connect with everything. People are able to talk to it. You are able to talk to it. You can ask it for any insight or any piece of information and get it as soon as possible. We call this an AI operating system.

I run my own business on one. Leads coming in, my WhatsApp, my email, my call note taker, it is all connected. However detailed the question is, I can get the answer about my business within two minutes. Data, insight and reports at a moment's notice.

How do you automate menial tasks?

The second thing is the small, repetitive work. Say someone has a task where every day they check an update on another company's system and pass it on. There are two ways to automate that.

Either the other company gives us an API, which means full access to their information. Or we create an agent that opens the browser, goes and checks, and then talks back to the operating system.

There are now agents that get their own browser in the cloud, so they do the work without using yours. Think about it like a person sitting with his own computer, working 24 hours a day, seven days a week. We build these agents and they report to the main operating system.

In my own business, the jobs people were wasting their time on for most of the day have been removed. Either that has reduced cost or it has improved productivity.

I started small. One of my first tools let my team message on WhatsApp when they needed leave. Set rules decide whether the leave is approved, and there is a dashboard where we can see it all. Small problems like that, solved one by one, grew into a full operating system.

Where does the work start?

First, I send a list of questions. You can type your answers or send a long voice recording, whichever is faster. We can transcribe it in any language. I do not want it to take more than about 30 minutes of your life.

Then we do an audit. We go in depth into the problem and understand the business. If required, we come to your office and sit down with you and your team. From that, we create use cases.

I do not audit an entire business at once. We take one specific part. I think of it like repairing something: first you put on the bandage, then you change the parts, then you build a fully new model. We go step by step. Implement it, use it, then start the loop again.

How do you make sure the tools actually get used?

My goal is not to build 100 tools. We have done enough AI implementation to know that no AI tool is a success until it is actually being used. Even if we build one tool that the staff are happy with, that is the win.

Each person gets their own login and their own access, and it is kept secure. We do not just know how to build the tool. We understand the back end and the technical side, and we check it properly.

After that, we help businesses manage it. If something goes wrong, someone replies within four to five hours with a fix or the steps to follow. We also make an SOP and a video tutorial: go here, click on this link. Simple enough that anyone can follow it.

There is one trap I watch for. You can get so obsessed with automating your business that you keep making beautiful things, like dashboards, without using them. That is why the loop matters. Build, implement, use, then build the next thing.

Why can it move so quickly, and who does the work?

When a tool needs to be built, we can often turn it around quickly, depending on the scope. That is because we have already built harnesses and systems, so the work goes more directly toward the goal. I have also put together a tech stack of the best tools and computing power available. We are not starting from zero every time.

Most of what we build is built by AI. What is left for us is the thinking and the management. So most projects are led one on one by me, and my team comes in whenever human verification is required.

I also like to start small because I need the business owner involved as much as I am. I am still learning every day, and your insight into your own business is what makes the tool right.

So that is the honest answer to what an AI consultant does. We connect your tools into one system you can talk to, we take the menial work off your plate, and we start small so that what we build actually gets used.

“One centre system which is able to connect with everything and people are able to talk to it.”

Said on the call, 8 October 2026