Glossary

Plain-language definitions of the terms this bundle uses. It grows as the bundle does.

AI enablement. The practice of getting an organization to actually adopt AI — to change how people work, not just what tools they can open.

Adoption. Sustained behavior change, not access. A team has adopted AI when the way it works is different, not when it has logins.

AI Enablement Lead. The operator accountable for adoption: literacy, champions, behavior change, and measurement. The reader this bundle serves.

AI Center of Excellence (CoE). A team that drives AI adoption across the organization and prevents fragmented, ungoverned use. Operating models range from centralized to advisory.

AI Council. A cross-functional governance body — typically an executive sponsor plus IT, change, and risk — that steers and unblocks the enablement effort.

AI Champion. A peer inside a team who spreads AI use locally through example and coaching. Not a manager. The multiplier the enablement lead recruits and sustains.

Shadow AI. Unsanctioned use of personal AI tools for work, outside official tooling. Often a signal of real demand the enablement lead can convert.

Depth of use. How far a person's work actually relies on AI, beyond whether they logged in. The measure that separates real adoption from activity.

DAU / MAU. Daily and monthly active users. A usage floor, not proof of behavior change on its own.