Organizations invest in AI tools to improve productivity and accelerate execution. As usage grows, costs increase across licenses, consumption-based pricing, and supporting infrastructure. Without clear visibility into value delivered, leaders struggle to understand whether AI investments are paying off.Reliable cost and ROI measurement is required to manage spend and allocate AI budgets with confidence.

AI usage data lives in AI platforms, while cost information sits in finance systems and procurement tools. Productivity gains are measured separately, if at all. These signals are rarely connected, leaving teams without a consistent view of how AI spend relates to outcomes.As a result, leaders lack a shared understanding of which tools, teams, or use cases deliver real return.