The Forward-Deployed AI Engineer

You can build an impressive AI demo. Then it stalls at the doorstep. The deal freezes. The client asks if it's "safe." It breaks the moment real data hits it — and you can't prove it ever worked. The gap was never your coding. It's the last mile: the distance between a demo that dazzles a room and a system a real business actually runs on. It's where almost every AI project quietly dies, and where the most valuable, most scarce engineers in the field do their work. They're called forward-deployed engineers, and demand for them has exploded while the qualified pool has barely moved. This is the field guide to becoming one. Written by a non-technical founder who used these exact methods to build a clinical AI system independently estimated to cost over a million dollars to rebuild, it teaches the repeatable six-stage method — Discover, Scope, Build, Validate, Go-Live, and Operate — for taking any AI idea from prototype to a production deployment that is clear, controlled, measurable, adopted, and supportable. Through one company's story, walked end to end, you'll learn to find the one workflow worth deploying, scope a version that ships, prove it works with evidence, launch it without breaking anything, and, if you choose, get paid well for it. Includes an industry-playbook set, a deployment prompt pack, ready-to-use templates, and a 447-term field glossary. Everyone can reach the doorstep now. Almost no one gets through the door. This book makes you the person who does.