Assistant vs. automation
Copilot makes every employee a little faster, but the task stays in their day forever. An automation removes the task from the working day and stays a company asset: described, documented, transferable.
For business owners · companies of 20+ people
A company that runs on loops built by its own people
Every job function becomes a business loop: input → deterministic processing → output, with humans on exceptions. We do not hire developers for you and we do not hand out assistant licenses. Your own people build the loops for their tasks; we assemble them into one corporate AI core with a registry that still works next year.
- 11 client companies, from 20 to over 7,000 people
- Methodology formalized from 30 delivered sessions
- First Western client — 2026
- 120+ companies have mapped their org chart on our platform
Free · no commitment · the builder is in Ukrainian for now
The difference
Not “AI in everyone's hands” and not “turnkey implementation”
Developers vs. your own people
An automation built by developers costs $500–2,000 apiece. A 50-person company needs 200–300 of them, and each one breaks when the process changes. Built by the process owner with a method, it is an order of magnitude cheaper and faster — and it does not leave with the contractor.
Deterministic, not “whatever comes out”
The language model only reads and classifies on the way in. Money, routing and escalation are code. Output to a customer goes through a human. Same input, same output; there are test cases and acceptance criteria, so an automation can actually be signed off.
Outcome
What stays in the company after the program
01
Trained people, level by level
Owner → top managers → initiative-takers → everyone. Each level can break down its own task, dictate a spec and assemble an automation.
02
Live automations by department
Sales, procurement, logistics, HR, finance, marketing. Each with acceptance criteria and a before/after measured in hours, not in surveys.
03
One corporate AI core
One server and one database, one repository with the company's rules, a registry of automations, an event bus between them, a Telegram hub for people, a shared knowledge base, shared access and keys. Instead of “everyone has their own”.
04
Maintenance by subscription
Models and APIs change every month; so do processes. Monitoring, model migrations, updates to the package shelf, quarterly re-diagnostics and an AI architect on call — so all of it still works next year.
Structure
Who does what
The same shape as a franchise network in enterprise software: a center that holds the standard, partners who deliver, and the client's own people who build. The recurring part stays with the center.
The center
AI Advisory Board
Implementation partners
certified, per region and industry
Your own people
owner → managers → everyone
Subscription
keeps loops alive
The center
Holds the standard: methodology, the shelf of loop packages, the registry and corporate core, the delivery standard, certification, maintenance.
Implementation partners
Deliver under the standard and the brand. Today that is the founder and trainers; the partner network opens after 20 documented cases.
Your own people
Build the loops for their tasks: describe input → processing → output, dictate the spec, assemble it, sign it off against acceptance criteria.
Subscription
Monitoring, model and API migrations, shelf updates, quarterly re-diagnostics, an AI architect on call.
Method
Three steps for every task
Step 1
Understand
Describe the micro-task as input → processing → output. What arrives, what to do with it, where the result goes.
Step 2
Dictate the spec
Four points, by voice: what we do, how we verify it, what we do not do, what happens when something goes wrong.
Step 3
Build and sign off
Assemble the automation with a coding agent such as OpenAI Codex or Claude Code, run the test cases, sign it off against the acceptance criteria and record it in the company registry.
From delivered implementations
- In one week, 8 of 20 employees at a client built their first automation.
- An employee with no technical background assembled her department's internal knowledge portal in a month.
- A CRM built for the company's own process in two days instead of three months and $5–6k paid to contractors.
We do not publish client names. References are shared on a call.
Over time
From the first day to the subscription
A typical pace. It depends on the company and on how many mornings a week the team can give it.
Day 0
Org chart and a loss map: where the company leaks money and which tasks can be handed to a loop today. Free on your own; with a consultant — free for companies of 20+ people.
Weeks 1–2
The owner builds the first loop with us. Not a demo — a task from their own day, signed off against acceptance criteria.
Month 1
Top managers: one loop per person. The registry is created; every loop gets an owner, input, output, schedule and healthcheck.
Months 2–3
One department runs on loops. The corporate core is deployed: one server, one repository, an event bus, a Telegram hub, a shared knowledge base.
Months 4–6
All levels of the company; handover. The company can build the next loop without us.
After
Subscription: the loops keep working as models and APIs change; +1 new loop a month on the higher tiers.
Ladder and pricing
Six levels — each one sells the next
Courses, consultations and one-on-one work are not separate products but levels toward one outcome: a company that automates itself. US pricing as of September 2026; Ukrainian list prices are on the Ukrainian version of this page.
0
Founder's guide
50-minute video + account
You understand the method and see your own company in it.
Free
for companies of 20+ people
1
Self-start
2 recorded courses + 1 hour of consultation
Your first automation attempt with your own hands.
On request
2
Practicum “First automation”
8 live sessions, 2 hours each
One working automation per person.
On request
group with a team trainer or a founder-led group
3
Owner's automation
5 sessions of 3–4 hours: founder + one assistant
The owner's first automation + a plan for the company.
On request
4
Team transformation
5–10 executives, 10 strategy sessions of 2 hours
Every manager has their own automation + a company diagnostic.
On request
5
Company transformation
3–6 months: all levels + AI core + registry + handover
The company automates itself. Then — subscription.
$14,999
“Keep it working” subscription
What the monthly fee pays for once the automations are built
The world under your automations moves every month: models get retired, APIs and prices change, new people arrive. The subscription keeps the system alive.
Small company
from $1,500/mo
Mid-size company
from $3,000/mo
Large company
from $6,000/mo
or $250/mo per automation
- Core hosting and keys under the platform's supervision
- Registry monitoring and incident fixes
- Migrations to new models and APIs when old ones are retired
- Package shelf updates — new automations first
- Quarterly org-chart re-diagnostics and a “you vs. industry” benchmark
- A named AI architect on call
Who this is for — and who it is not
A fit
- You own or run a company of 20+ people.
- You are ready to go through the first level yourself, not delegate “AI adoption” to IT.
- You want the result to stay in the company, not in a contractor's head.
Not a fit
- You want “AI turnkey” so the team is not touched.
- You want to hand out assistant licenses to everyone and stop there.
- You need one one-off script with no maintenance.
Straight talk
Why this is not another bot agency
A single loop is a commodity
Any single automation we build can be rebuilt by a freelancer, a template or by your own employee after our course. We do not pretend otherwise.
The difference is around the loop
Who builds it and who keeps the skill; which tasks get chosen (from the value flow, not from the loudest request); the registry and the maintenance that keep 200 loops alive.
Where the moat will come from
A registry that is code, cases with measured before/after, and partners who deliver without the founder. Until then we are a differentiated service, and we say so.
Frequently asked questions
Is it safe for company data?
The core lives on your server with your database; access and keys are in one place under control. The language model never writes to a customer by itself and never counts money — code and people do that.
What happens when an employee leaves?
Their automation is described by a spec, lives in the company repository and sits in the registry with an owner, input, output and schedule. The next person picks it up and continues.
We already pay for Copilot or ChatGPT. Is this a replacement?
No. A license is a machine tool — we help clients get ChatGPT Business and Claude seats ourselves. The difference is what gets built on that tool: for us, automations with acceptance criteria, not “write emails faster”.
How much of the owner's time does it take?
Level 3 — three two-hour sessions. Level 5 — three to six months, with morning hours for the team a few times a week. Owner first, then managers: without a shared picture, adoption stays a hobby of enthusiasts.
Who does the work?
Today, the founder and the team's trainers, following one methodology and one delivery standard. Certified partners join after 20 documented cases. Either way, the platform, not an individual contractor, is accountable to you for the standard and the quality of delivery.
Where do we start?
With a free org chart of your company: it shows departments, people and the places where automation pays off fastest. Then the 50-minute founder's guide and a conversation.
Data security — answers for your security team →Kit for your board →
Step one — a free org chart of your company
It shows which tasks can be handed to automations today and who on the team to start with.
Investor? The round, traction and use of funds →