Faster tasks do not automatically produce a more productive business. AI’s value depends on how companies redesign workflows, integrate systems and use the time and capacity released. Implementation costs, reliability, staff adoption and accountability all influence whether a promising tool produces a measurable return. How should companies select and scale AI investments that improve business performance, and what evidence should determine whether to expand, change or stop a project?