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This article discusses eight areas that should be tracked and evaluated to gauge the success of enterprise generative AI programs and projects. These areas include measuring ROI, goal completions, and fidelity. Additionally, it is important to set clear KPIs for success and allocate a sufficient budget for research. Lastly, it is important to understand the purpose of the AI-based system in order to measure its success.