AI Adoption, In Practice

The teams that keep using AI six months after training all have one thing in common: named internal champions. Here is how to pick them, what to give them, and how to measure whether it is working.

Licenses are provisioned, the announcement went out, and usage is flat. Here is the week-by-week plan we use to turn Microsoft Copilot or ChatGPT Enterprise into a daily habit for HR and People teams.

The EU AI Act made AI literacy a legal expectation for organizations that use AI at work. Here is what that means for HR teams, and how to build a literacy program that actually changes behavior.

Before another tool, another rollout, or another training day, answer these twelve questions. They predict AI adoption better than any feature list.

Executives report record AI spending and record frustration in the same breath. The data points to one cause: adoption is a people problem being treated as a purchasing problem.

AI enablement is the work of getting people to actually use the AI tools an organization already owns. Here's how it differs from implementation, and why most companies skip it.

Traditional consulting sells research. We flip that — give the knowledge away, earn trust, and partner on implementation.

Leaders approve AI. Practitioners adopt it. If you want AI to work, start with the people in the middle — not the top.

Most AI deployments fail not because of the technology — but because nobody trained the people who actually use it. Here is how to flip that script.