DNAI Engineering

An AI Native company in 2–3 months

Run your business through AI: more profit, speed and order

Each executive adds a new skill to their own expertise: building AI agents and managing them. Routine goes to the agents, and you see revenue, margin and every task on one screen.

The base: a corporate AI workspace

  • Shared context: AI knows the whole company; knowledge stays when people leave
  • The whole team: everyone works with AI and builds agents for their own tasks
  • Corporate plan: secure accounts, and the data is yours

Book AI diagnosticsRun the margin numbers on your own inputs

What the business gets · measured A to B

  • Profit and company value

    Margin grows, costs fall, and the business becomes worth more as an asset.

  • Speed and productivity

    More tasks are delegated to agents, execution speeds up, and the team gets more done.

  • Transparency and order

    Structured processes and clean data: the whole business in one window, no manual reports.

  • Security and independence

    Data and know-how stay in the company, and it no longer depends on outside experts and contractors.

Updated:

65 growth projects before AI — a methodology AI has sped up many times over
  • NovaVi.
    $90K → $300K/mo
  • Roofmaster
    ×2 revenue, EU
  • Drive/max
    $25M → $40M, USA
  • MARPOSADKABEL
    ₽400M → ₽2B+
  • Karate · Sushi
    ×10 in 5 years
  • NDA · Fintech
    net profit ×2.25 in 3.5 months
  1. 01Money

    “I don’t know where the money is”

    “There’s revenue — I don’t see profit. Am I living on credit?”

  2. 02Owner dependency

    The business lives in your head

    “This information exists only in me.” Delegating would take a year.

  3. 03Control

    Decisions are made by gut feel

    Because getting the number takes longer than guessing.

We move the business out of your head — and out of your team’s heads — into one company-wide system: accounting, clients, decisions.

Who this is for

A good fit

Mid-sized companies with a team and revenue from $3M a year, in any industry, B2B and B2C — where the savings run to six figures a year and go straight to the owner. Proven sectors: transportation, energy and tenders, real estate development, fintech, e‑commerce.

Not a fit

With a small flow of operations, off-the-shelf tools usually beat a custom implementation — we will say so honestly at the free diagnostics.

  • accounting · tendersManufacturing
  • CRM · salesDistribution and trade
  • owner’s timeServices with a team of 50+
  • own AI coreHoldings with 5+ legal entities

Turnkey AI implementation · One product, priced by scale

We sell the rod, not the fish

Terms

Turnkey AI implementation for business. DNAI is an engineering company for AI implementation in business: you accept every stage by verifiable results.

Timeline
2–3 months to checklist sign-off
Payment
30% upfront, then 40% and 30% on stage acceptance

The cost depends on the number of executives we connect, integrations and data requirements: we calculate it at the free diagnostics and fix it in the contract together with the scope. You can stop after any stage: if an artifact is not accepted, the next tranche is not invoiced.

The first step is free

AI diagnostics, 30–90 minutes: a maturity map, money priorities, a draft roadmap.

Book AI diagnostics

Until November 30, 2026 we take no more than 4 rollouts a month: the format requires 15–20 joint sessions per client. After that — a queue.

You could buy the fish: your buyer keeps mixing things up — we build an agent. We sell the rod: an AI ecosystem, the infrastructure inside which your own team handles purchasing, accounting, finance, sales, PR, SEO and content. Any new need — without a new contractor. It all runs on licenses registered to your company and stays yours.

What the product is made of — scoped to your scale
  1. The owner’s personal AI assistant

    we start here: within the first 2 weeks you personally work 2–5× faster on average

  2. Point A and point B, measured

    recorded at the start and tracked: net profit growth, margin growth from saved costs, and the volume of tasks each executive closes by managing agents

  3. A secure company workspace

    one sign-in for the whole team, an employee’s access revoked in one action; data and work belong to the company

  4. A first result on one task

    management accounting that answers in chat: profit, payment calendar, cash flow — checked with the accountant

  5. An AI assistant for each key executive

    accepted only when it answers control questions 5 out of 5; the accounting system, CRM, telephony and banks connected with no manual exports

  6. Team training

    15–20 joint sessions of 1–2.5 hours without stepping away from work

  7. Only a person moves money

    AI prepares a payment but never sends it: every payment is confirmed by an employee

  8. The On vAIbe clubbonus

    $1,800 a year standalone — included for you: practice, agent templates, teardowns

  9. A Keeper inside your team

    plus our engineer: ongoing support is part of the product, your work is regularly exported into your own storage

Cases · 3 live AI rollouts + 65 business scaling projects

AI didn’t replace the methodology. AI made it many times faster.

The first three cases are live AI implementations, published from the middle: showing only the finale is showing an edited reality. The next six Anton delivered by hand before the AI era — systematic management and months of work: growth of 3–10× in 1–5 years; 65 such scaling projects in total.

Swipe the cards sideways

live AI case

Cosmetics manufacturer

Wildberries & Ozon

~₽45M a month · 6 seller accounts · first 6 weeks

automations in 6 weeks — 3 were planned
26
payback on saved team time alone
≈3 mo
Breakdown →
live AI case

Car rental for taxis

Transportation

fleet of ~400 cars · measured after 5 months

payroll: from ₽2.5M down to ₽2.0M a month
−20%
of the fleet in repair instead of 14%; repair budget −25–30%
5.7%
Breakdown →
live AI case

Manufacturing & trade

Oil and gas

3 business lines · the implementation continues

~3.5 weeks — management accounting checked by the accountant
7 sessions
the owner’s and the manager’s roles verified
5 / 5
Breakdown →
before the AI era

Marposadkabel

Manufacturing

5 years · a complete management team built

revenue: ₽400M → ₽2B+
×5
profitability
7 → 9%
Breakdown →
before the AI era

Karate Sushi

Restaurant chain

5 years · franchise built from scratch

revenue in 5 years
×10
franchisees in profit
8
Breakdown →
before the AI era

Crypto Exchange

Fintech · under NDA

3.5 months · 120 employees

net profit: $4M → $9M/mo
×2.25
per vacancy — recruiting built from zero
2 wk
Breakdown →

Reviews · verbatim, from the project tracker

Three voices from one implementation

Manufacturing & trade · Oil and gas — its card is in the row above. The project runs under NDA, so instead of a name you see the sector and scale.

Swipe the reviews sideways

“We’re relaxing: nothing to enter, no spreadsheets to open. I don’t even know where my spreadsheets are. I say: log it — it sorts it all somewhere, creates the tables, but I don’t go into them. I just watch it work.”
Owner · week three
“With its help I created a new server — it did practically everything for me. I exported the accounting system, moved it over — it tuned everything inside, checked all the numbers. The accountant checked — everything matched completely. Today we fully moved from the old server that sat on a home computer into the cloud with properly built security.”
Owner
“It writes me possible actions and likely outcomes. It looks at everyone left unattended: digs up abandoned, postponed, stuck clients with no communication at all.”
Manager

AI implementation ROI calculator

We don’t paint ROI. We count on your numbers.

Competitors promise “you’ll save 40%.” We don’t know your numbers and we won’t invent them: estimate the effect of an AI rollout yourself, and on the free diagnostics call we’ll count it precisely.

Right now your executives’ routine is 3,870 h a year — $155K of already-paid time (by your numbers). We assume a machine will cover half — 1,935 h: conservative, and not a promise.

Back into the business
1,645 h a year

into work that moves the business · +15.9% team capacity

We don’t price it: that is the margin of your own tasks.

Even counting only the hours that stop being paid for — $12K a year. We’ll calculate the payback at the free diagnostics — for your scope.

Book AI diagnostics

An order-of-magnitude estimate, not an offer. Cut headcount only after an automation works, not before.

What to do with the freed-up time

How it works · what’s included

Everything in one window

Many assume turnkey AI implementation for a business means one smart agent. In practice a company needs dozens, and ordering each one separately is slow and costly. We set up an agent factory: the company is described once, skills are kept in a library — and from these your own team assembles new agents.

Measured before the stage is paid

No more buying bots, agents and integrators

Every agent carries its own counter: tasks, hours, errors. Acceptance runs against a written criterion — before the stage is paid. What to do with the freed-up capacity — cut payroll or take on more work with the same team — is the owner’s call. Subcontracts and outsourcing get closed inside the company.

Run it on your numbers 

  1. Data from the accounting system, CRM, telephony and banks arrives by itself, on schedule.

  2. A skill is written once and works in every agent.

  3. The system stays yours whatever happens: a monthly context export into your own storage is a separate duty of the Keeper.

How it is built inside

The systematization layer: where the data comes from, who sorts it and which three stores it lives in.

Ready-made rolesAI lawyer for businessAI owner’s assistantAI analystAI accountantAI CFOAI marketerAI sales repAI CRMRAG knowledge base

21 business functions in one systemMarketing · Brand · Design · Content · PR · Sales · Product · Engineering · Production · Automation · Efficiency · Order · Control · Decisions · Execution · Finance · Accounting · HR · Skills · Security · Legal

Methodology

2–3 months to acceptance

The first result comes with the pilot, in 4–6 weeks. The whole system is ready for acceptance in 2–3 months.

  1. 30–90 min · free
    AI diagnostics Book a slot 
  2. ~1 week
    Accounts and access for the team
  3. ~1–3 weeks
    We connect your data
  4. ~2 weeks
    A pilot on one task
  5. ~3–5 weeks
    Automations per role
  6. onward
    The Keeper and ongoing support

Seven steps, 46 acceptance-tested tasks — full methodology

Why DNAI

Build in-house. Or with us.

An honest comparison.

Adopting AI in-house usually starts with personal ChatGPT accounts or a homegrown build. The knowledge stays in employees’ private chats and leaves with the person, the AI starts from scratch every time, and nobody signs off on the result. Three months later — a scatter of chats, and nothing accumulated.

Book AI diagnostics
Comparison: adopting AI in-house versus with DNAI
CriterionIn-houseWith DNAI
Where company knowledge is keptIn employees’ personal accounts — leaves with the personIn the company’s own system — owned by the company
Can you trust the numbersThe AI answers in generalities and may invent a fact — nobody checksAnswers from your documents and shows where each figure came from
Link to moneyNone — “an impression of AI”Every automation has a metric in revenue or costs
Time to resultInstant, but shallow — or months, unpredictable2–3 months by checklist with sign-off
Who maintains itThe employee themselves, or only the code’s authorYour in-house Keeper, trained by us, plus our engineer
Team · who runs your project

15 years of systems.
One in AI.

Your project is run by three people from three schools — management, analytics and entrepreneurship. Anton has been systematizing businesses for 15 years: 65 major projects across 33 industries and 9 countries, each with net profit growth. He is the architect, not the contractor: he decides what to do, how, in what order and why — now through AI. Andrey led analytics at Avito, and his 30 AI-agent implementation cases are his personal track record. Gennady is an investor and serial entrepreneur — 15+ startups launched and about 1,000 business reviews with founders; at DNAI he leads growth: marketing and sales.

Anton Ro Baten

Anton Ro Baten

AI architect, founder

65+ business scaling cases across 33 industries and 9 countries — with economic growth shown in numbers.

Case videos →
Andrey Vasilchenko

Andrey Vasilchenko

CTO

Ex-Director of Analytics at Avito. Moscow State University, neural networks in astrophysics. 30 AI-agent implementation cases for business.

Gennady Mukhin

Gennady Mukhin

Head of Growth

Marketing and sales. Investor and entrepreneur with 15+ years in business: 15+ startups launched, 25+ investments, about 1,000 business reviews with founders.

FAQ

Six questions before signing

Before signing, owners ask the same things. We answer briefly, with no fine print.

Daily work is 20–40 minutes per executive, sessions 1–2 times a week. The system gives back all the rest.From a live project: a team of 3 reached working management accounting in 7 sessions — without pausing the business.
Free AI diagnostics for your business

We map your business with AI

Anton and AI look, in real time, at where your operations are stuck and which bottlenecks AI closes first. You leave with an AI maturity map of your business and a growth plan — whether or not we end up working together.

“I say: log it — it sorts it all somewhere, creates the tables, but I don’t go into them.”

— a business owner, week three of the implementation

Book your free diagnostics

30–90 minutes · run by Anton personally · no selling on the call

We use it to prepare the review for your scale

During working hours we reply within an hour, otherwise the next working morning. The map is yours even if we don’t continue.

How the free diagnostics works

  1. 01Request

    ≈ 1 minute

    Fill in the form. Within an hour we reply via the contact you gave — with confirmation and questions.

  2. 02Brief

    5 minutes

    3–5 questions about your business, bottlenecks and budget range, so the call goes straight to substance.

  3. 03Call with AI

    30–90 minutes

    Anton and AI take your business apart in real time: you watch AI find the levers in your operations.

  4. 04AI maturity map

    24–48 hours

    A 5–7 page PDF that reads like a spec for your team.

Inside the map: operations map · 3–5 high-return points · architecture diagram · first pilot estimate · return in $/hour of owner time

Partner programme

Refer a client — earn 10% of every payment they make

Not a one-off bonus on the first deal: ten percent of everything that client pays us, for as long as they stay with us. Sales, rollout and support are on us.

Message me on Telegram
Full terms
Who we are looking for

An owner of a company with revenue from $3M a year. They have a team and an ambition to grow and put things in order. They make decisions themselves. If someone like that is in your contacts, you have something to bring us.

What you get
  • 10% of every payment the client makes, not just the first
  • Reservation before negotiations start — not a race for who claimed them first
  • Zero work after the introduction: sales, rollout and support are on us
  • Transparency: you see what stage your client is at and when a payment lands
Honest about the limits

We do not take everyone. If the free diagnostics shows the economics do not work at their scale, we tell them so directly. That client stays reserved for you — they will come back when they grow into it.

How it works
  1. 01
    Message me directly and name the client

    Before they reach out to us. One message is enough — name, company, what they do.

  2. 02
    The client is reserved for you

    They stay yours even if they come to us on their own without mentioning you. The reservation holds for 90 days up to the call, and extends for the whole engagement once the call happens.

  3. 03
    Show them what it is about

    Whichever fits: this site, the video cases or the channel. You do not need to understand the technology — they need to understand the point.

  4. 04
    Set up a call with me

    Through the same chat. From there we sell and deliver; nothing else is required from you.

What to show the client
Video cases →Anton’s channel →

Anton’s personal contact. Name the client and I will reserve them for you.