Pablo Povarchik
AI Systems Builder — Real Environments, Not Demos
I help executives and small teams turn AI experiments into systems that actually hold up under real workflows, real data, and real incentives.
I’ve spent 25 years building systems and deliberately stress-testing them until they break — so failure happens in controlled conditions instead of production. I started pre-cloud, running bare metal and distributed infrastructure when failure was loud and expensive, and later spent a decade helping organizations like Oracle, Marriott, and Veolia turn complex information into decisions under pressure.
Today, I build and troubleshoot AI systems that have to work in real environments — not demos. Engagements typically start with either hands-on system work or a focused working session to pressure-test what’s already in motion, depending on where things already are.
How I help
- Custom agentic systems design, development, and troubleshooting
- Document intelligence & conversational data turning large, messy inputs into usable signal
- Workflow automation practical tools that reduce friction and save time
- Executive briefings adoption timing, false positives, and where value will actually appear