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 PoCs under 2 weeks, and estimate production costs upfront; advanced teams with clean data can extend scope to 3-4 weeks, fine-tune models, and explore multi-agent solutions. Across all levels, matching ambition to organizational readiness is the key to turning a PoC into a real product.