This research report analyzes how enterprises are adopting generative AI and the challenges preventing many pilots from scaling into production. Based on interviews and survey data, it shows that organizations are moving past experimentation toward value-driven use cases but remain constrained by data quality, governance, security, and talent gaps. The report highlights common applications such as code generation, customer support, analytics augmentation, and content creation. It emphasizes that success depends less on model selection and more on enterprise data readiness, integration with existing workflows, and clear ROI metrics. The report also warns of rising risks, including hallucinations, data leakage, and compliance exposure, concluding that governed, data-centric AI platforms are

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