AI maturity

AI maturity (noun phrase)

(organizational journey) A measure of how deeply and effectively a person or organization has integrated AI into its actual working practices, as opposed to simply experimenting with it. It runs on a spectrum from isolated pilots and demos at one end to AI embedded as default practice at the other.
(skill/craft use) The level of skill someone brings to actually directing and working with AI, developed through practice rather than granted all at once. Immature use tends to produce generic, low-quality output (AI slop, or workslop in a workplace context) because the user isn't giving AI the direction, context, or scrutiny it needs. Mature use gets consistently strong results because the user has learned how to get them.

Example: "Running a chatbot demo didn't reflect AI maturity; having AI embedded in the actual approval workflow did."
Example: "Two people used the same tool on the same task. One got back something usable, the other got slop. The difference wasn't the tool; it was maturity."