About
Krystian Klementowicz
Enterprise Automation & AI Architect. One person, accountable end to end - from the first stakeholder conversation to the robot fleet running at 3 a.m.
I architect automation for one of the most demanding environments there is: a global healthcare-technology enterprise, where a filed document is compliance evidence and a wrong "valid" has tax consequences. My production footprint there spans a Pega platform of 1,500+ rules across eight business domains, a UiPath fleet automating seven SAP transaction families, and the Snowflake analytics layer both of them read from.
That combination - workflow platforms, RPA and the data layer in one head - is rare, and it is exactly the foundation agentic AI needs. Since the LLM era began I have been building the bridge: knowledge-injection files that teach local models to write production-grade automation code, validators that catch their hallucinations, agent platforms with real permission models. Currently engaged building background agents and LLM chat capabilities for an enterprise AI-agent marketplace at a global healthcare-technology enterprise.
On the private side I run a full self-hosted AI platform - GPU inference cluster, multi-model chat, 30+ agent tools, voice, image generation - as my own daily production environment. It is the reference architecture behind the Private AI practice: I recommend only what I have personally operated and broken.
Based in Warsaw, working remotely across EU and US time zones. English and Polish, B2B.
How I work
Four principles that survive contact with production
Numbers before adjectives
Every claim on this site carries a volume, a count or an artifact. If a statement cannot be backed, it does not ship - in our copy or in your architecture review.
The translation layer
The rarest failure mode in enterprise IT is not bad code - it is correct code solving the wrong problem. The job is sitting with business stakeholders, extracting the real rules, and grounding ambitious goals in buildable architecture.
Constraints are the brief
MFA on unattended robots, data that may not leave the network, systems you may not touch in daylight. We do not ask for exceptions; we architect inside the fence.
Operate what you design
We run our own inference cluster, agent infrastructure, git, CI and monitoring. Architects who operate systems design systems that can be operated.
Talk to the person who will actually build it
One architect, end to end: scoping, architecture, delivery, operations. Write a paragraph about your problem and you will get an engineering answer, not a sales call.