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How do you scope and run a successful AI proof-of-concept or pilot with a customer?

Most AI pilots fail not on the model but on scoping: vague success criteria, the wrong use case, or data that was never ready. For forward-deployed and applied roles, running a pilot well is the job. Here is the playbook.

Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.

Most AI pilots fail not on the model but on scoping: vague success criteria, the wrong use case, or data that was never ready. For forward-deployed and applied roles, running a pilot well is the job. Here is the playbook.

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LEARN THE BACKGROUND

No lesson covers this question directly yet. These teach the surrounding topic from the beginning.

Applied AI Engineering·The interviewPremium13mTalking about AI work without sounding like a demoThe behavioural round for this role has its own questions, and the ones about AI work are easy to answer badly. The last lesson of the course covers the four stories to have ready and the honesty that makes them land.Applied AI Engineering·The interviewPremium12mTurning this course into a study planA concrete four-week plan mapping the seven modules onto the question bank, plus what to do differently if your interview is next week rather than next month.
UP NEXT ON YOUR JOURNEY
Next in this trackThe field moves weekly. How do you decide whether a new AI technique or model is worth adopting (hype vs substance)?Next in this trackA customer's team is nervous about adopting your AI feature. How do you build trust and drive adoption?Next in this trackTell me about a time you handled a difficult or angry customer. How did you turn it around?
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