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Enterprise AI strategies often stall when organizations struggle to align goals, talent, and processes. Slowdowns typically reflect unclear priorities, diffuse ownership, and a lack of measurable outcomes. Practical remedies focus on narrowing the roadmap to high-impact use cases, establishing clear governance and accountability, and building repeatable delivery patterns. Teams that standardize tooling and feedback loops can accelerate deployment while improving reliability and business relevance.