About

Nataliya Brovkina: I put AI into your business in 30 days

AI implementation specialist for small business · Moscow

I am Nataliya Brovkina. I help small-business owners put AI inside the work their team already does, in 30 days. I work next to the owner, not instead of them: by the end of the month you run the system yourself, without a developer or an agency. I show the whole process publicly.

Who I am and where I am from

Before I moved into AI implementation, I spent years in corporate finance. First Big4, then bigtech. I hold a CFA. I built financial models, led teams, and owned the numbers, and over those years I learned what actually moves a business: not a trendy tool, but a process that holds on its own, without one person's heroics.

Then I had three sons, all still preschoolers. When your time stops being yours, you find out fast which systems hold on their own and which only worked because you were on call around the clock. So I built my own system that runs my work and takes the repeating parts off my plate. It worked. After that I started putting the same thing into small businesses, and that is my main work now.

What I do

I put AI inside the work of a small business in 30 days. The format is simple: we do it together. I do not sit down and do everything for you, and I do not leave you dependent on a contractor. I walk the owner and the team through the rollout step by step, and by the end of the month I hand the system over so you run it yourself.

I do not sell theory and I do not sell a course. I do not promise that a neural network will replace an employee. The story is usually different: AI takes off the routine you were about to open another role for. Emails, reminders, summaries, first-pass triage of requests. The savings are counted on your own numbers, not on made-up ones.

The 30-day method, briefly

One cycle for one team is thirty days, split into four weeks. Each week has its own job.

Method · 4 weeks
Week 1 Calibration. First an audit: we find the one bottleneck that eats the most of the team's time. Then AI only reads the working data, and the team checks the result against how they would have done it by hand.
Week 2 First results. AI prepares the drafts, a person confirms. Somewhere between day ten and day fourteen the first genuinely saved hour shows up.
Week 3 Expansion. A task goes from one person's tool to a shared team skill. A second person joins, and we tune the prompts on real edits.
Week 4 Decision and handoff. We keep what works, drop the rest, and write simple instructions. The owner runs it solo for a couple of days while I am on standby. By day thirty the handoff is done.

I published the week-by-week breakdown separately: 30 days to AI-native, day by day, with nothing dressed up.

Why I show everything publicly

I build this in the open. I record and write about the whole rollout into real teams: what worked, what broke, and what I would do differently. On YouTube I set up AI employees on camera, including the moments when something goes wrong. On Telegram and LinkedIn I post notes from inside the rollouts.

It is easier for everyone. You see the method at work before you decide to work with me, and I cannot hide the awkward parts behind a nice deck. An owner who figured out the system themselves ends up understanding it better than any outside contractor. That is the goal.

Want this kind of rollout in your team?

The product version of my method is called Juniors: an AI employee that does the repeating marketing work your team cannot stand. AI instead of an extra hire. See how it works, and write to me if it fits your case.

Work with me →