AI employees that keep working while you sleep
They answer customers, book appointments, sell, hire and take routine work off your plate. You pay less for repetitive work and lose nothing at night or on weekends.
You're not losing money because of the market — you're losing it because your people can't keep up
Leads wait until morning
A customer messaged in the evening and by morning had already bought from whoever replied first.
Managers forget
Deals stall without a next step, and your CRM no longer reflects reality.
Hiring eats up your time
Hundreds of applications just to find a few people who will actually show up.
Routine costs you salaries
You pay people for repetitive work that could be written down as a set of rules.
An AI subscription isn't an employee yet
Chatbot
- Answers only when asked
- Doesn't know your rules or numbers
- You have to check its output and copy it over by hand
AI employee
- Does its assigned work on its own
- Follows your rules and uses your data
- Works inside your systems and hands complex cases to a person
Build your own team of AI employees
- Sales rep who takes payments
- Lead handler
- Dormant-client reactivator
- Sales team supervisor
- Proposal writer
- Receptionist with booking
- Consultant
- 24/7 support
- Review manager
- Copywriter
- Video studio director
- SEO specialist
- Ad manager
- Market scout
- HR manager
- Onboarding mentor
- Price controller
- Sales analyst
- Finance reconciler
- Purchasing assistant
- Secretary
What to hand over to an agent
- Round-the-clock replies
- Hundreds of similar conversations
- Keeping track of deadlines and numbers
- Bookings, reminders, reports
What to keep for people
- Conflicts and complaints
- Non-standard deals
- Decisions involving big money
- The final interview
How much are you paying for routine work?
I don't sell anything I haven't tested with my own money
I'm an entrepreneur with more than 15 years of experience, not just a developer. In my own business selling on online marketplaces, I've built a team of AI employees, so I evaluate each one like a staff member: what it does, what it costs and whether it pays off. I build the process as an entrepreneur first, and only then hand it over to AI.
Your first AI employee — with no risk to your customers
- 01
Discovery
We find the task where an agent will pay off fastest and record how much time and money it takes today.
- 02
Training
We hand over the rules and know-how and connect the systems it needs.
- 03
Launch with approval
At first, a person confirms every important action.
- 04
Measuring results
We compare against the starting point: actions, hours and cost. Then we decide what to scale.
What people usually ask
Usually it takes over the repetitive part of the job, and people keep the complex cases and the decisions. How many roles you can cut, we work out from your actual tasks.
At the start, a person approves important actions. For every agent we set boundaries, keep an action log and define when it hands the conversation over to a person.
CRMs, email, messengers, calendars, seller accounts and spreadsheets — anything with an API or another reliable way to connect. We check this during discovery.
A first AI employee can realistically be up and running in about a week. The cost depends on the task and the integrations, so I quote it on a free call.
We agree upfront what data the agent needs, where it's stored and who has access. Nothing extra is shared.
No. You need a clear task, someone responsible on your side and access to the right information. I take care of the technical side.
A chatbot mostly answers questions. An AI employee does assigned work by your rules, uses your company's data and systems, and hands complex cases over to a person.
Yes — that's usually the best way. We launch one employee, compare the result with the starting point, and only then decide what to scale.
Tell me about your task. I'll tell you if an agent will pay off
The assessment and the call are free. I reply personally. If automation won't pay off, I'll say so.