About us
We built this because most AI training doesn't work.
Not because it's wrong. Because it's not embedded.
The origin
Here's what we kept seeing:
Teams would go through an AI training. Excited in the room. Confused at their desk. Back to their old workflows within two weeks.
The knowledge didn't stick because the knowledge was never connected to their actual tools, their actual data, and their actual problems.
We're builders. We know how to fix that.
Stationed Labs is what happens when you stop treating AI adoption like a classroom exercise and start treating it like an engineering project.
We don't teach AI in the abstract. We embed engineers directly inside your team and build real workflows alongside your people — until they can build without us.
That's a Forward-Deployed Engineer. And it changes everything.
The team
The People Behind Stationed
Courtney Murtha
Founder & Creative Director, HOT GIRLS DONT WORK
Serial entrepreneur and Creative Director with 15+ years building companies across fintech, real estate, media, and AI education. Grew The HRC Group from $50M to $10B AUM on Wall Street. Founded Registered Fund Solutions ($1B AUM, acquired). Managed ~$100M in real estate strategies for global family offices and institutions.
She brings the operator's lens — the understanding of what it actually takes to move a team from where they are to where AI can take them.
Ja'Dan Johnson
Founder, Stationed.ai
Builder since age ten. At 16, ran a seven-person media company in Jamaica. Organized Jamaica's first hackathon — now the Caribbean's largest. Built Miami Hack Week with Founders Fund and SoftBank. Led developer marketing at Devpost, the global home for hackathons.
During COVID, led Open Source Medical Supplies — mobilizing a global maker network and raising $1M backed by the Schmidt Foundation.
Our philosophy
How We Think About AI Adoption
Most training is about information transfer. Ours is about capability transfer.
The goal isn't that your team knows what AI can do. The goal is that your team ships AI workflows — without needing us in the room.
We measure success by what your team builds after we leave, not what they remember from our sessions.
This works for marketing teams. It works for operations teams. It works for any team running repeatable processes that AI can handle better than humans.