Every business has work clients pay for. And work that just eats the day: requests scattered across three chats, hunting for documents, calling back for details you should have asked once. I find the second kind — and remove it.
Automating a bad process gives you the same mess, only faster. So I start by breaking the work into steps and asking one question about each: would the client notice if this didn't happen?
They'd notice — that's green, it's what they pay for. They wouldn't, but the business would stall — yellow, the internal machinery. They wouldn't and nothing would happen — red.
Recognise any of them? Then we already have something to talk about.
Chatbot development, CRM systems and business process automation on Make.com and n8n with AI. These systems are already built and running — but none gets installed "as is": logic, copy and integrations change for your business.
Not mockups and not slide decks. I built each of these end to end, and each one works. Two you can watch in action, one you can test yourself. These are a selection from dozens of systems built; bigger ones are in progress right now. If your case isn't here — write to me: chances are I've built something close.
CVs in the inbox, data in a spreadsheet, emails written by hand. Every candidate meant 20–30 minutes of routine — and the more applications came in, the more people fell through the cracks.
An application arrives — AI reads the CV, scores it, checks for duplicates and files it into the CRM. The recruiter gets a card in Telegram and sends a test task or rejection with one tap. Every decision updates the database and emails the candidate automatically.
Clients write at all hours in different languages. The questions repeat — residency, taxes, prices. Agents burn hours on conversations that lead nowhere while hot leads get lost in the noise.
The bot answers in four languages and holds the client's language throughout. Facts come only from the agency's knowledge base — zero invented numbers. It qualifies in conversation and, when the client is ready, hands the agent a structured lead and logs it to the CRM.
Contracts and invoices scattered across email, cloud and paper. Finding one takes 20–30 minutes. A quarterly reconciliation means days of manual digging.
Send a photo to Telegram — the text is recognised, AI identifies type, parties, dates and amounts, and the document lands in a structured database. The original goes to the archive; search takes seconds.
DMs arrive around the clock, the admin replies during business hours. Bookings by hand, no reminders, client history living in someone's memory.
An AI manager answers questions, books time slots via Cal.com, handles reschedules and cancellations, sends reminders the day before, and builds a client database from the first message.
An auto service runs on phone calls. A client calls in the evening — nobody picks up. The mechanic is under a car and can't reply in chats. The owner never sees how many requests got lost in between.
The client describes the problem by voice or text — AI transcribes it, classifies the category (suspension, engine, electrics, body, service) and matches the right mechanic by specialisation. The mechanic replies by voice too: free slots and a price — AI turns that into concrete date buttons for the client. Then booking, confirmation, status updates. Everything goes through the bot: client, mechanic and owner each see their part.
This is my own system — the largest I've built (around 90 modules). It runs, and you can test it yourself: message me and I'll give you access to the bot so you can walk the whole client journey in two minutes.
You always know what comes next and what it costs. No "well, this part needs extra budget".

Before automation I spent years selling clothing on eBay: hundreds of buyers across dozens of countries — from the US to Australia. Sourcing, messaging, returns, shipping parcels halfway around the world.
It sounds far from AI, but it gave me the thing that matters: I know what a business looks like from the inside when everything rests on you. I know how much time repeat questions eat, and how easily one unsent reply loses a client. I automate pain I've lived through myself.
Then came hundreds of hours of practice: automation and AI courses, n8n certifications, dozens of scenarios built. Every system on this page was built by me end to end.
Thirty minutes and you'll know whether there's anything worth automating. No decks, no pressure — we break down your process and the decision stays yours.