About Beanski AI

Beanski AI is a consulting practice built on one conviction: AI is most valuable when it connects to the systems your team already uses — not when it exists as a standalone demo.

I've spent years building production AI systems that integrate with enterprise tools — helpdesks, facilities management platforms, business intelligence dashboards, communication tools, and workflow engines. The work isn't flashy, but it ships, it scales, and it makes people's jobs better.

What Makes This Different

Most AI consulting starts with the technology and works backward to find a problem. I start with your team's actual workflows — the manual processes, the bottlenecks, the data that exists in systems nobody talks to each other — and build AI that fits into how you already work.

This means building custom MCP servers that expose your APIs to AI assistants. It means creating agents that can triage support tickets, manage work orders, or generate reports by connecting directly to your existing tools. It means production-grade systems with proper authentication, error handling, and observability — not prototypes.

Background

Before starting Beanski AI, I built AI operations platforms spanning 40+ projects — from custom SDKs and MCP servers to agent orchestration systems and multi-model routing. That experience showed me what actually works when AI meets enterprise reality, and what doesn't.

I work across the full stack — TypeScript, Python, React, Astro, FastMCP, Prefect, and more — because real integration work doesn't respect technology boundaries.