A key difference between AI projects that stall at proof of concept and those that make it to production is proper scoping — from disqualifying projects ill-suited for LLMs, to clearly defining project boundaries, ensuring data readiness, and assembling the right team.

The good news: the barrier to successfully deploying enterprise AI projects is lower than many realize. This whitepaper offers a practical guide to scoping any enterprise AI project, answering: Which projects are strong candidates for generative AI, and how do I get started?

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