This whitepaper cuts through exaggerated expectations around AI and focuses on how organizations can deliver real, measurable value from AI investments. It explains why many AI initiatives stall after pilots due to weak data foundations, unclear business ownership and misaligned operating models. The document emphasizes starting with concrete business problems, investing in modern engineering practices and embedding AI into everyday workflows rather than treating it as a standalone capability. It also highlights the importance of cross-functional teams, responsible AI practices and continuous learning. The paper positions AI as an enabler of better decisions and outcomes when paired with strong product thinking and organizational change.

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