title: "How to Measure AI ROI | Cohere"

Measuring the return on investment (ROI) for artificial intelligence projects presents significant challenges for enterprises. A proper framework involves thoroughly assessing all associated costs, including infrastructure, data management, and model development. To quantify financial value, businesses must identify key performance indicators (KPIs) that can be improved by AI, such as increased revenue, reduced operational costs, or enhanced customer satisfaction. By combining a clear understanding of both costs and potential value, organizations can build more credible and defensible ROI estimates to justify AI investments.