What Leaders Should Know About Measuring AI Project Value

Absolutely agree: “Most AI/machine learning projects report only on technical metrics that don’t tell leaders how much business value could be delivered. To prevent project failures, press for business metrics instead.“

In our workshops and training courses, we often explain the Analytics & Maturity Model (using the canvas of the same name) to our clients and participants. A key message of the model is that the basis for successful and advanced analytics and AI is solid data management and essential descriptive analytics to build automated and reliable business reporting. Without the right business metrics and KPIs, it is difficult to measure and monitor the benefits, costs, and risks of predictive, generative, or agentic AI.

Here is a good read that explains how to choose the right business metrics for measuring the AI value:

👉 https://sloanreview.mit.edu/article/what-leaders-should-know-about-measuring-ai-project-value