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Despite substantial investments, many organizations are finding it difficult to scale artificial intelligence projects beyond initial pilot programs. A key factor hindering progress is the lack of effective human-AI collaboration. Experts emphasize that unlocking the transformative potential of AI requires a fundamental shift in how people, processes, and technology interact. Traditional, siloed organizational structures often prove inadequate for supporting widespread AI deployment. A successful approach necessitates operationalizing human-AI synergy, where AI tools augment human judgment, allowing for accelerated execution and improved decision-making. This involves carefully mapping desired business value, designing collaborative workflows that blend human and AI capabilities, and establishing robust data governance and security frameworks. Organizations leading the charge are starting with low-risk use cases to refine their approach, constructing secure data enclaves, and integrating governance protocols into the decision-making process. The focus must evolve from simply optimizing existing processes to reimagining entirely new opportunities and business models enabled by the integrated power of humans and AI.