AI solutions tailored to every company. Built by a practitioner who doesn't consult from slide decks — he builds and maintains working systems.
Most companies that invest in AI end up with a tool nobody uses. Not because the technology is weak — it has never been better — but because the people who design the system don't do the work the system is meant to improve.
The person who closes your month-end in 90 minutes is that fast because she's done it two hundred times. She knows which line items move, which exceptions matter, and which vendor always sends the wrong invoice. None of that is written down. None of it survives a slide deck for the vendor. And none of it finds its way into a prompt on its own.
So the vendor builds something elegant. The employee quietly goes back to her spreadsheet. Six months later the system is shelfware and the budget is gone.
I build with the people who do the work. The system that ships is the one already running in their hands — minus the parts a machine does better.
I don't consult from presentations. I build and maintain production AI systems — from process automation to entire applications.
I build automation systems on n8n with AI agents — and where low-code ends, I write custom microservices: APIs, scrapers, document converters.
I process hundreds of thousands of documents — PDFs, scans, mixed formats: extraction, structuring, semantic search.
Applications and backends built agentically (Claude Code + MCP) — always under the control of architecture, specifications and tests.
I design MCP servers, fine-tune and select models for specific tasks, and take care of security and cost control.
Ready for AI in your company?
Book a free consultationReal projects: what I built, for whom, and the results.
Over 200 workflows on one platform — marketplace automation across 6 countries, agentic product research, custom microservices and an internal automation team trained to work independently.
Read the case studyA self-updating base of 538,000 tax interpretations, hybrid search, a research agent and opinion drafts. From ~12 hours of work to ~2 minutes.
Read the case studyThe tool that lets AI agents build working n8n workflows — 21,600 GitHub stars and 100,000 users, including at Deutsche Telekom, PayPal, Mercado Libre, MIT and NYU. Built entirely agentically.
Read the case studyFrom a file in a folder to a live ad — AI analysis of images and videos, French copy in three positioned variants, standardised naming and automated upload to Meta Ads.
Read the case studyAI reads broker offerings from emails and flyers (vision), fuzzy-matches them against a property database, enriches them with neighbourhood data and generates Letters of Intent in one click.
Read the case studyI build and ship production AI systems — from agentic process automation, through MCP servers and model fine-tuning, to document-analysis pipelines. I'm the creator of n8n-mcp — an open-source tool that lets AI agents build n8n automations on their own.
I help organisations move from AI experiments to architecturally coherent, maintainable production systems. I believe every company — regardless of size — can benefit from that.
AiAdvisorsBook a free strategic consultation and discover what AI can do for your company.
or write: romuald@aiadvisors.pl · +48 695 263 884
