Adoption methodology
A company of the future is one where every key employee has 10–20 automations of their own
Not one automation per department and not "we installed a chatbot". Every key employee monitors their automations, makes changes and improvements themselves, and launches dozens of copies.
This is my vision of a company of the future, not industry statistics. Below is the three-step process companies use to get there.
Thirty minutes. We take a helicopter view of your situation and work out exactly where you should start.
Let's calculate how many automations your company needs
Even a company with one employee has dozens of repetitive processes: bank statements, launching ads, receiving and shipping orders, preparing documents, communicating with the accountant.
Now take a company with 50 or more people. If every key employee has 10–20 automations of their own — and that is where this is heading — that comes to 200–500 automations that need to live inside the company.
An external integrator charges $500 to $2,000 for one automation. Multiply that by the number needed: automating a company with outside help costs from $100,000. For most companies, that is unaffordable.
And this is not a one-time purchase. Processes change, services get updated, things break — constantly. A contractor who bills you for every change is a subscription to dependency.
That is why employees themselves need to own the automations. Your own people fix their own automations the same day — for free.
does not scale
External contractor
They will build a few custom automations for tens of thousands of dollars. They cannot handle hundreds of personal automations — neither building nor maintaining them.
scales
Your own trained people
There is no great mystery to AI agents. Everyone owns their automations: they monitor them, fix them, and launch the next ones themselves. The first ones — under an expert's supervision.
Then why do you need an expert if there is no mystery? Because without one, the team spends months making avoidable mistakes: the wrong tools, leaked data, attempts abandoned halfway through. An expert does not sell knowledge — they sell compressed time. We make money by making ourselves unnecessary to you. One more clarification: not everyone needs to manage automations — only those who make decisions in their area.
Why it all starts with the founder
Every successful AI adoption I have seen started with a decision by the founder. This decision has two parts.
The first — to believe that AI can make money specifically for their business.
The second — to see what their company of the future will look like: who will do what when routine work moves into automations.
Without these two things, team training does not stick.
This is my observation from our adoption projects, not industry research. But so far, it has held true every time.
The three-step process
The order is exactly this — it is the actual sequence, not a list of options to choose from.
Step 1. The founder's decision
30 minutes
The starting point — a 30-minute call.
In those 30 minutes, you get a helicopter view of your entire situation: what you can already hand over to AI, where to start, and how it will develop from there.
Then you decide whether to do it or not.
Step 2. The founder learns personally or sends top managers
two paths
There are two paths here, and both work.
VIP training for the founder
5 days × 3 hours
5 days × 3 hours with an expert. The founder builds 1–2 automations of their own with their own hands.
They come to understand what is possible — and usually then decide for themselves to send a group of key employees for training.
A group of key employees right away
10 sessions × 2 hours
10 strategic sessions × 2 hours. Three schedules to choose from.
Twice a week — 5 weeks.
Every day during the first week to get up to speed quickly, then twice a week.
The intensive option — every day, ready in 2 weeks.
Result: every participant has at least one automation built with their own hands, and the confidence to build the next ones.
Step 3. Frontline employees
4 sessions × 2 hours
Not everyone — only those who take initiative.
The course is shorter: 4 sessions × 2 hours. We do not build automations for everyone — we select the most interesting tasks and develop them live.
Everyone else watches, understands what it looks like, and goes off to repeat it independently — but for their own role.
Option: ongoing support subscription
Once a week — a joint call with your employees. People are not afraid of doing something wrong because they know: in a few days, there will be someone to ask for advice. And regular reporting keeps them moving — by the next call, everyone wants to show what they have done. The first 1–2 months of this are enough for the company to get going and run on its own.
Pricing for the formats — on the call. I do not publish it on the website because it is calculated for each specific company.
What the training includes
- Recordings of all sessions.
- 12 months of access to the videos and homework.
- Manager's dashboard.
Manager's dashboard
The manager sees three things for each employee:
- training progress — how many sessions they have completed;
- activity — when they last logged in;
- a description of the automation project they are building.
That is enough to spot who is falling behind in time. The dashboard does not show more than that — and I don't promise more than that.
How I back this up
They order for the fourth time
Companies order training from us for the fourth time — for a fourth group of employees. This is the main proof I have: they pay for the methodology repeatedly.
Case study
IT startup: the best result looked like a failure
25 employees attended the first session.
Fewer than half attended the fourth session.
It looks like a failure. In fact, it was the best result I have had: the company figured it out and started adopting AI independently, without waiting for the course to end.
The best training result is when you no longer attend by the fifth session.
The client thanked us for the system and said that all employees were already working with AI.
I am presenting this anonymously: I am not naming the company.
Where to start
The first step — a 30-minute call.
We take a helicopter view of your company: what you can already hand over to AI, where to start, and how it will develop. Then you decide for yourself.