Guide to Ditching Vanity Metrics and Driving Deep AI Adoption

A Blueprint for Measuring Impact, Not Just Inputs

Inside this guide, you’ll learn:

• Why “percent of employees using AI” is a misleading vanity metric that creates a false sense of progress.

• The critical difference between usage volume (prompts typed) and usage depth (workflow embedded).

• How to shift your AI strategy from chasing adoption breadth to demanding adoption depth for measurable ROI.

• New ROI-first metrics to track that directly correlate AI usage with cost savings, revenue growth, and risk reduction.

• Practical strategies for training and nudging teams away from basic features toward complex, high-value AI workflows.

• How to embed AI into core processes so deeply that it transforms workflows, rather than just assisting them.