Organizations aren't short on AI enthusiasm — they're short on the ability to turn that enthusiasm into anything that actually runs. In Part 1 of our two-part series, Luise Freese, developer, consultant, and author breaks down why so many AI initiatives stall after the demo. She covers how to evaluate use cases with intent, why data readiness shapes everything AI can deliver, and what leaders should be asking to turn early momentum into lasting operational capability.

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