Around 95% of enterprise AI pilots produce no measurable impact, almost always from deployment, not the model. As the first FDE in a skeptical SWE shop, your month-one job is to not be pilot 95: pick a project that can win, prove it in 30 days, and turn the engineers who roll their eyes into the ones who vouch for you.
Updated Aug 2026 · Grounded in real Forward Deployed Engineer interview loops and written to a senior-engineer editorial bar.
Around 95% of enterprise AI pilots produce no measurable impact, almost always from deployment, not the model. As the first FDE in a skeptical SWE shop, your month-one job is to not be pilot 95: pick a project that can win, prove it in 30 days, and turn the engineers who roll their eyes into the ones who vouch for you.
This is a judgment question disguised as a planning question. The screen is whether you can pick a winnable first project (narrow, measurable, painful, with clean-enough data) rather than the flashiest one, and whether you understand that the skeptical engineers are the audience that matters, not the exec who hired you. The answer that fails picks an ambitious moonshot or a chatbot demo. The held-back follow-ups: 'what makes a project a bad first pick' and 'the engineers think AI is hype, how do you convert the loudest skeptic', and they want you to win the skeptic with their own code and an eval harness, not a demo.
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