We embed AI employees
into sales, support and ops — built around your processes
30-minute audit → in 48 hours, a map of 5 spots where AI pays back in 3 months. No hype, no boxes. Won't pay back — we'll say so ourselves and pass.
Dubai · 8 months in real production · dozens of automations
What an AI employee actually is
Not a "neural net for pictures," not a "Telegram bot for $10/month." An employee in the literal sense: works to your playbook, remembers context, reports back. Just doesn't sleep and doesn't ask for a paycheck.
A program-employee that follows your rules
Understands what's asked in plain language. Asks follow-ups, checks the CRM, looks up stock, escalates to a human when the case isn't standard.
- Replies to customers at 10pm like a sales manager
- Fills the CRM while you sleep
- Builds a report in a minute instead of a day
- Tracks deadlines and deals slipping through cracks
- Make calls with no rule attached
- Replace a lawyer on a $1M deal
- Run without your oversight for the first 2 weeks
- Guarantee 0% errors — we catch them with guardrails
Sound familiar?
Half the day lost to copy-paste
A manager moves an order from email into CRM, then into inventory, then into a report. Every single day, on loop. Then we wonder why no one has time to think.
Lead messages at 10pm. By 10:05 they're with a competitor
By the time you reply in the morning, they've already signed with whoever answered first. Ad budget — gone. Lead — gone. Twice.
Everyone has their own number. No one is right
CRM says one thing, inventory another, accounting a third. The meeting starts with «well, in my spreadsheet…». Half a day on reconciling, zero on actual work.
Want more revenue — hire more people
More clients — more managers. More managers — more chaos: hiring, training, churn. Revenue goes up, you burn out.
We'll look at your processes. We'll tell you straight: what to automate now, what later, what not to touch at all. No upsell.
We don't sell boxes
We don't repackage SaaS, we don't bend your processes around someone else's template. Every project is built around your operating logic. But after 8+ months in production and dozens of scenarios, we have working patterns: what sticks in HoReCa, what sticks in e-commerce, what sticks in B2B. We adapt them to your case.
- 01Principle 01
One client — one project
No two businesses are alike — neither are our builds. Every solution is designed from scratch around your processes, people and tools.
- 02Principle 02
Stack picked for the task, not for us
n8n, Make, Python, low-code, custom — we choose what fits your case best. We don't push a technology because it's convenient for us.
- 03Principle 03
Won't pay back — we'll say so ourselves
We don't talk you into automating for the invoice. Sometimes the right answer is "leave it to the humans." We'll say it honestly and explain why.
To have a reference point — first, a look at how the leaders already use this. Then back to the six areas where our patterns pay back.
They pulled ahead. It's not magic — it's AI and automation.
Ten companies that didn't just adopt the tech — they used it to break away from competitors. Their budgets run into billions, yours into thousands. That's fine: don't watch the numbers, watch the pattern. They stopped doing repetitive work by hand long ago — and your slice of that logic can ship in weeks, not years.
- What's automated
Customer support across 23 countries handled by a single AI assistant. Internal comms, marketing, and legal run through a corporate GPT portal used daily by 90% of staff.
How they use AIAn OpenAI-powered assistant handles chat in 35+ languages 24/7, classifies tickets, processes returns and disputes. The back office plugs into GPT through Klarna's internal Kiki tool.
How far ahead2.3M conversations in the first month — two-thirds of all CS traffic. Resolution time fell from 11 minutes to under two. Repeat contacts down 25%. Estimated profit impact: $40M a year.
Region: Sweden · global
They pulled ahead because they started early. Your turn now — at your own scale.
The gap isn't budgets or geniuses — it's that they stopped doing by hand what machines have done for years. Next up — six areas where we already have proven payback patterns for small and mid-size business.
Six areas where the patterns are already there
Six areas with proven solutions and clear payback math. Stack, logic and scenarios — rebuilt around your team.
What we see most often in these niches
Which area are you in?
We'll show the patterns we've already shipped — and where they paid back first
Restaurant · HoReCa
Orders, bookings, supplies and analytics — no managers on the phone. Typically takes out 60–80% of inbound calls.
- Order intake via WhatsApp/Telegram, auto-saved to POS
- Table reservations with confirmations and reminders
- Stock control, auto-purchase orders to suppliers, demand forecast
These are starting points. The actual set we'll shape around your processes on the audit.
Digital document workflow for a city administration
We delivered a full incoming/outgoing document handling system: routing, approvals, deadline control, executor notifications. In production from month one.
Also worked on
Marketing websites
Landing pages and corporate sites with form-to-CRM and messenger integrations baked in.
Telegram bots
Bots that talk to customers, collect data, write into CRM and sheets — for services, bookings and support.
Turnkey integrations
n8n / Make scenarios linking CRM, inventory, payments and notifications — zero manual steps.
Four stages. After each — an artifact and a go/no-go decision.
- 01
Discovery & audit
30-min call + 48 hours of analysisWe get on a call and dig into your processes — no templates, no canned answers. In 48 hours you have a document you can decide on yourself — with us or without.
→Process map, ROI math, PDF in your hands
- Map of 5–7 of your processes, prioritized by payback
- ROI math: hours × loaded rate, in EUR or AED
- List of what NOT to automate (and why)
- PDF is yours to keep — even if we don't move forward
- 02
Prototype on your logic
1–3 weeksWe build a minimal working version on your real data and scenarios. You see the impact on concrete cases — before signing the bigger scope.
→Working prototype on your real data
- 03
Rollout
2–12 weeksWe scale the prototype, integrate with existing systems, train the team, and document everything. Access — yours from day one.
→Deployed system + documentation + trained team
- 04
Support
Monthly or quarterlyWe monitor stability, adjust to process changes, and add new scenarios. Walking away from us is painless — the stack is open, not proprietary.
→SLA, monitoring, new scenarios on demand
Between stages there's a kill switch. We don't move forward until you've seen the result of the previous one.
Danila · MagicWork AI demo
In 60 seconds I'll show you what's worth automating in your business. This isn't real GPT — it's a demo: 4 questions, I return a personal recommendation. The exact plan comes from the free audit.
Hi 👋 This is Danila, founder of MagicWork — well, my AI demo. In 60 seconds I'll show you what to automate first in your business — no budget talk, no jargon. Shall we?
What's written into the contract
No "we'll improve efficiency" — concrete obligations on paper. We deliver what we promise, or we refund.
Payment per stage
No next stage — no payment. No upfront fee for the full scope.
KPIs in the SLA
Concrete numbers in the contract: response time, accuracy, uptime. Not "we'll improve the team".
Access from day one
Logins, docs, repo — yours from day one. Walking away from us is painless by design.
Open stack
n8n, Python, standard APIs — any engineer can pick it up. No proprietary language of ours.
Prototype doesn't pay back — we refund the prototype fee
We fix the payback criterion in the contract upfront — as a number, not a vibe: hours × loaded rate, concrete metrics, a measurement window. After 1–3 weeks of prototyping we compare against real data. Doesn't match — we refund the prototype fee. Anything debatable resolves in the client's favor.
Two of us — both build
We moved to Dubai to deliver real value to local businesses: we ship what pays back and talk you out of what doesn't. No middlemen — the person on the call is the one who writes the code. Every project is run personally, from first call to release. On larger engagements we bring in trusted partners — but the interface stays the same: you talk to the people accountable for the result.
Danila Golod
Founder · Automation Lead
Mikhail Zankovich
Co-founder · Engineering
Common questions
Most failures come from "the box", not from the tech. We don't go into a big rollout without a prototype. 1–3 weeks, on your data, on your scenarios — if there's no impact, we don't move forward. You pay per stage, with a kill switch between them.
Leave a contact — we'll get back within 24 hours
Just your name and Telegram/phone is enough — the rest we'll cover on a call. Or message us directly on Telegram — that's the fastest path.