Answers
Answers to the questions leaders ask about AI return
Each page answers one question in its first paragraph, then sets out the evidence and a first move. Start with the question closest to yours.
Which questions do the answers cover?
How to measure the ROI of AI training →
Completion rates don't show return. A five-step method for measuring AI training ROI against a work baseline, with what to count and what to leave out.Why employees resist AI tools →
Employees resist AI for reasons that make sense from where they sit. The four most common, what each one tells you, and what leaders can do about it.We bought Copilot and nobody uses it →
You bought Copilot and usage is low. What low usage usually means, what to check before cutting licenses, and a 30-day plan to get one team using it well.How to report AI ROI to the board →
A one-page structure for reporting AI ROI to the board: spend, usage, the three conditions that decide return, and what to say when results lag.Which change management framework works for an AI-led reorganization? →
Kotter and ADKAR each cover part of an AI-led reorganization. What each one does, the capacity decision both leave out, and how to sequence them.
More questions, answered in depth
What is AI workforce readiness, and how does a CHRO build it? →
AI workforce readiness is whether your people can use AI on their own work and trust it past the basics. How CHROs can measure it and build it.How do you lead your team through AI change from the middle? →
You were handed AI and the targets, and your team has mixed feelings about both. How to lead them through AI change, one real task at a time.Why do Copilot and ChatGPT Enterprise licenses go unused, and what fixes it? →
Why Copilot and ChatGPT Enterprise licenses go unused after launch, what to fix before renewal, and how to run a second launch built around real work.
Next step
Find out which condition is holding your AI return back. Eight questions, about two minutes.