Which metric best helps leaders understand whether AI is delivering business value rather than just technical performance?

Business value from AI is measured by its impact on key performance indicators (KPIs) and business outcomes, not by technical or usage metrics alone. A reduction in average handling time (AHT) is a direct measure of improved operational efficiency, which translates to cost savings and better customer experience. This metric clearly demonstrates that the AI solution is delivering tangible value to the business process, which is a primary goal for any AI transformation leader.

B. Number of GPUs used is a cost and resource consumption metric, not a direct measure of business value delivered.

C. Total number of models deployed is an activity metric; it shows output but does not quantify the actual business impact or value.

D. Number of prompts is a usage metric. High usage does not guarantee positive business outcomes, especially if outputs are inaccurate or not useful.

1. Microsoft AI Business School, "Define an AI strategy to create business value". This course emphasizes focusing on business problems and measuring success with business KPIs, such as efficiency gains, rather than technical metrics. (Specific module: "Create a strategy for business value").

2. Microsoft Cloud Adoption Framework for Azure, "AI strategy and plan". The framework guides leaders to "Define business outcomes" and "Measure business impact" by linking AI initiatives to measurable improvements in business processes, like AHT. (Section: "Strategy > AI strategy and plan").