This brief explores how organizations can move beyond AI experimentation to realize measurable business value. It emphasizes that AI success depends on aligning technology investments with clear business outcomes such as cost reduction, revenue growth, risk mitigation, and customer experience improvement. The document discusses challenges including fragmented data, lack of skills, and difficulty scaling pilots into production. It highlights the importance of an AI-ready data foundation, hybrid deployment models, and governance frameworks. By focusing on outcomes rather than algorithms, enterprises can use AI to drive smarter decisions, automate processes, and gain sustainable competitive advantage.

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