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A 45-day executive blueprint for deploying Amazon Quick around business outcomes, trusted context, governance, measurable value, and scale-ready AI workflows.
Enterprise AI has reached the point where technical possibility is no longer the primary constraint. The harder problem is translating a promising capability into a governed workflow with an accountable owner, trusted data, acceptable controls, observable business contribution, and a credible next investment decision.
The 2025 market data shows the gap clearly. McKinsey found that 88% of organizations report regular AI use in at least one business function, yet nearly two-thirds had not begun scaling AI enterprise-wide and only 39% reported enterprise-level EBIT impact. BCG reported that 75% of executives ranked AI or GenAI among their top three strategic priorities for 2025, while three out of four said they had yet to realize tangible value from those investments. [1][2]
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