I bring AI employees into your business
Businesses used to be reshaped around mobile, so the customer could get through from a phone. Now it is around AI employees: agents that work in your loop without days off.
An AI employee does not get sick, does not quit, does not leave for a competitor. No income tax, no insurance contributions, no talent shortage, running around the clock. Against rising taxes and a shortage of people, this is no longer a luxury but a condition for survival: companies with an AI staff get a serious head start.
But you cannot drop an AI employee into a mess. For it to work, it needs access to your data and processes: sales, CRM, 1C, the contracts department. First put that order in place, then launch the agents. That is exactly my job.
«I reshape your business for launching virtual employees, agents into your loop.»
That is why I split the work in half
So you do not pay for a rollout where learning is enough, and do not lose months where engineering is needed.
You assemble the first AI employee yourself
I teach you to assemble your first AI helper with your own hands: we set up Codex and work on your real tasks until it runs. After that you repeat it without me. This is not something to pay for as a rollout, it is something to simply learn, and it is part of the consulting.
An AI staff on your systems
I connect AI employees to your rails (1C, CRM, AMO) and move the team onto them. This is no longer a prompt but engineering: I design the loop, hire the agents and put them to work, set up the process.
You will assemble the first AI helper yourself, I will teach you as part of the consulting. A team of agents inside your systems and data is already my engineering.
I do not consult in theory. I show it on my own products
I build AI products and agents myself, so I speak from practice, not from articles. I see where AI genuinely speeds things up and where it is still just talk. Here is what already works.
Personal operating system (MyOS)
BLD-01My system on Obsidian and AI agents: tasks, knowledge and decisions in one place. I run all my projects on it, and I set the same thing up for clients.
Psychologist marketplace
BLD-02The platform matches a client with a psychologist by compatibility. More than 40 practicing specialists work in the system.
The Pochva platform
BLD-03An IT platform for mental health and personal effectiveness: a neuro-trainer, breathing practices, courses.
Vehicle inspection booking in Cyprus
BLD-04Booking a MOT through WhatsApp entirely without operators. Inside are six AI agents: they catch requests, find slots, book, and check quality.
What I work with every day: Claude Code · Codex · Antigravity · MCP · LangGraph · Ollama
What backs it up
The market is full of prompt engineers, AI bloggers pushing 500 neural networks, and coaches with no real grasp of AI. I work at the intersection and build working systems by hand.
People usually come to me when
Your peers in the market already count AI in money, while you still do it by hand. A year from now, the ones who adopted AI seriously pull far ahead on speed and margin. Catching up will cost more than starting now.
routine eats 60+ hours a week and someone's salary, even though a single AI agent closes it in an hour
you have the data, but it is scattered: CRM, 1C and Excel live separately, and decisions get made by gut feel
you want to adopt AI, but it is unclear where it pays off and where you would just burn the budget
What this delivers in practice
Names and recognizable details are changed, that is the ethics of the practice. The before-and-after numbers come from real rollouts in progress.
Bakery chain
- AT INTAKE:
- Fresh baked goods get written off at the end of the day and eat into the margin. Ingredients are ordered by gut feel: now a shortage, now overproduction. Across locations it is not visible where exactly the money leaks.
- INSIGHT:
- Not a big AI project, but a single loop: AI gathers sales by location and day, forecasts demand, and suggests how much to bake and how much to order.
- OUTCOME:
- Write-offs fell from 12% to 5% of revenue across the chain's locations. About 15 hours a week of manual order planning was freed up. The rollout paid for itself in roughly 2 months.
Support fleet
- AT INTAKE:
- Requests for vessels land in email and messengers, and dispatchers compile the plan by hand. Hence downtime, scheduling conflicts, and hours spent preparing voyage documents.
- INSIGHT:
- An AI agent takes in requests, compiles them into a vessel loading plan, and prepares drafts of the voyage documents. The dispatcher only checks and approves.
- OUTCOME:
- Request handling time dropped from 40 minutes to 5. The dispatching routine shrank by roughly 20 hours a week. Scheduling conflicts became noticeably fewer.
AI HQ: an intensive for the owner and the team
Over the intensive, the owner and team assemble their own staff of AI employees and leave with a working HQ, not a notebook of notes. From €5,000.
Products
Four directions I work in. The main one is bringing AI into business. The rest is built on the same engine and aimed at the same result: less manual work, more value.
Bringing AI into business
From breaking down processes to a live AI loop with numbers before and after. This also includes the advanced part: virtual employees and agents that run on your data. Four formats, from an intro call to an architect on retainer.
Gallup team console
The whole team on one screen: who is strong at what, where the group sags, what risks hide in the lineup. Turnkey for a team of up to 8 people, with an onboarding walkthrough.
Gallup couple console
Two profiles across 34 CliftonStrengths themes combine into a compatibility map, an emotional contour, and the strengths of the union. For partners in business and in life.
AI HQ: an intensive for the owner and the team
Over the intensive, the owner and team assemble their own staff of AI employees: from the model and data to agents by role. You leave with a working HQ, not a notebook of notes.
How to start
Introduction call · 30 minutes
If it resonates, I invite you to a 30-minute online introduction call. No obligations, no presentations, no sales. We will find out if there is working chemistry between us and where to dig. If I cannot name a concrete direction within 30 minutes - I write a 1-page review of your question in DM for free. 5 slots per week; nearest ones close 7-10 days in advance.