This ebook explains why finance leaders must prioritize AI-ready data foundations to realize value from AI investments. It outlines the broken state of enterprise data, including silos, governance gaps, and excessive manual preparation. The guide introduces key pillars of AI readiness—contextualization, governance, and automation—and shows how finance teams play a central role in shaping trustworthy AI outcomes. It also presents a roadmap for transitioning from manual processes to AI-optimized pipelines, helping finance leaders improve forecasting, compliance, and decision accuracy at scale.

Join for free to read