AI engineer · Business process automation
First I learn how your business actually works. Then I design and implement an AI system for that specific process — no generic templates, no automation for automation's sake.
01 · Problem
It is spread across people, chats, spreadsheets and tools — anywhere from a few minutes to a few hours, every single day.
is what a team can spend on tasks that could be automated.
Repeated answers, follow-ups, status requests, information passed along by hand.
Copying between systems, manual reports, re-entering data, out-of-sync databases.
Handling a new lead, placing an order, onboarding an employee, tracking the next action.
02 · Approach
01
I start with a conversation with the manager and the team, not with a tool. I study what should happen according to the playbook, how the process really works, and which critical knowledge exists only in people's heads.
02
I score every opportunity by Impact, Confidence and Ease. That way we start not with the most visible task, but with the solution that brings the most value for a reasonable effort.
03
Together with the client I map the whole process: the trigger, data movement, decisions, branches, AI actions and the final result.
04
I test the automation on real data and edge cases, looking for situations where naive logic would miss a problem — or reproduce it.
05
I record the before-and-after metrics, prepare the production configuration, the instructions, and the differences between the test version and production.
03 · Projects
What was needed, what was built, what effect it had.
n8n automation · marketplaces
n8n + Telegram · ElevenLabs
Full-stack + AI agent · personal project
04 · Principle
I don't sell one-size-fits-all automation
First I understand how a specific team works — only then do I design the solution.
05 · Services
30–60 minutes · free
A conversation with the manager about current processes, where time is lost, and the first automation opportunities.
Book an intro callreference: $1,000–2,000
Process audit before automation: process research, gap analysis, ICE prioritisation and an implementation plan.
Payment model: you decide how much it's worth after you receive it.
priced after the audit
Design, build, testing, launch and handover of the solution.
FAQ
It depends on the process: the intro review is free, a full audit is priced at $1,000–2,000 as a reference (you decide what it was worth once you've had it), and automation development itself is scoped and priced after the audit, once the actual work is clear.
RPA replays a fixed sequence of clicks and breaks the moment something deviates. An AI agent makes decisions from context, handles unstructured data, and adapts to edge cases — they're different tools for different jobs, and I pick the one that fits instead of selling the same template to everyone.
n8n gives full control over the logic (including self-hosted), custom code inside workflows, and no plan-tier ceiling on complexity — that's what I use for production systems, not demo integrations.
06 · About
I'm an AI engineer and n8n specialist, building AI agents and business process automation.
Before proposing a solution, I study how the team works: where time is lost, which actions repeat, and which decisions rely on manual control.
Then I design a system for that specific process — from automatic enquiry handling to AI agents, internal knowledge bases and integrations between services.
I'm deliberately building a broad profile, working with tasks across industries to spot recurring patterns and create solutions that respect how a business actually operates day to day.