The Business of Agentic AI: Costs and Commercial Models

This white paper discusses the complexities of implementing agentic AI within enterprises, focusing on the costs, commercial models, and execution strategies necessary for successful deployment. It highlights the execution gap that many organizations face as they transition from pilot projects to operationalizing intelligent agents at scale. The document outlines a disciplined framework for understanding the total cost of ownership, emphasizing that the initial costs of building and implementing agentic systems are often underestimated. It details the various cost components, including upfront build costs, recurring technology expenses, and ongoing operational costs. The paper also addresses the need for organizations to construct robust business cases that account for both quantitative and qualitative factors, moving beyond simple ROI calculations. By providing a pragmatic lens on the financial implications of agentic AI, the paper aims to guide leaders in making informed decisions about integrating these systems into their operations, balancing autonomy with control to enhance efficiency and effectiveness.