95% of AI proof-of-concepts fail because organizations attempt projects beyond their current capabilities. A framework tailored to three AI readiness levels helps avoid this: beginners should focus on incoming data use cases and avoid forcing AI where it isn't needed; intermediate teams should pick non-critical processes, keep
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