AI FinOps & Cost Governance

AI systems can create significant business value, but they can also generate substantial operational costs if not managed effectively. Cloud-based AI services, model training, inference workloads, storage, and third-party APIs all contribute to growing expenditures. Organizations require governance processes that balance innovation, performance, and financial accountability. In this lesson, learners will explore AI FinOps principles, cost governance, resource optimization, budgeting practices, usage monitoring, accountability structures, and operational efficiency controls. Understanding these concepts helps organizations maximize AI value, control spending, and support sustainable AI adoption at scale.