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Published November 22, 2025
You're Measuring AI Adoption Wrong. Here's What High-Performing Teams Track Instead
Many organizations gauge AI progress by counting logins, prompts, or tool access—but those numbers rarely show whether work is improving. This issue looks at why basic adoption metrics can mislead leaders and highlights the kinds of signals stronger teams pay attention to instead, from workflow impact to measurable...
In this issue
- Why simple usage totals often fail to reflect real operational gains.
- A better way to evaluate AI through workflow and outcome-based indicators.
- How stronger teams connect AI efforts to measurable business performance.
- What to track when adoption appears high but impact remains unclear.
