Embedded AI

AI features switched on inside tools an organization already runs for other reasons, such as a lead score in a customer-relationship platform or a draft-writer in an office suite. The most under-counted category in most inventories, because staff think of these as "just a feature" rather than as AI systems touching decisions.

AI features built into everyday products (email, document editors, search) rather than standalone chatbots; older cohorts often use far more of this than their self-reported chatbot use suggests, so "I don't use AI" frequently means "I don't use a chatbot."

AI capabilities built into products an organization bought without an explicit "AI decision" (for example, meeting transcription or smart categorization). Dangerous in continuity terms because it often fails silently, with no error message.

AI inside a product the user knows, where the AI is not the headline feature; examples include email priority sorting and CRM lead scoring.