Which AI use cases deliver fastest ROI?

The provided sources do not contain sufficient specific information to identify precise AI use cases that deliver the fastest ROI, as they focus more on general strategies, challenges, and industry trends rather than ranked or detailed case studies. However, they highlight that faster ROI is often achieved through narrow, well-defined workflows using existing data, particularly in agile environments like startups or small companies, which can quickly implement AI without disrupting established processes [6][10]. Examples include fraud detection, where prioritizing minimization of costly errors (e.g., false negatives) over overall model accuracy can yield superior returns [9], and HR applications for streamlining decisions across stages [1]. Additionally, customer support in retail is noted for high AI adoption (over 95% by 2026), suggesting potential quick wins in interaction handling [11], though broader ROI questions persist in sectors like insurance [5].