Drawing from practical lessons learned while building and maintaining customer-facing AI applications across Bloomberg Law, Bloomberg Tax, and Bloomberg Government, this talk explores the unique position of data-rich enterprises in today’s rapidly evolving AI landscape. These organizations possess deep reserves of proprietary data that foundational models have not seen during training. This talk will examine the strategic and technical considerations of leveraging such exclusive datasets, and how these enterprises can meaningfully participate in the AI transformation without developing their own models.