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Organizations racing to implement AI solutions face a fundamental paradox: the very data infrastructure that has served them well for analytics and reporting is fundamentally misaligned with the requirements of modern AI applications. This creates what we call the “AI Data Readiness Gap” – a critical obstacle preventing companies from realizing agentic AI’s promised value.