Short answer
The level of autonomy, or autonomy spectrum, describes how much an AI system acts on its own, ranging from suggesting actions for human approval to fully resolving tasks without intervention. It is a way to talk about how much trust a system has earned to act, not just what it can do.A common reading runs from assist, where AI drafts and a person decides, to act-with-approval, to supervised autonomy, to full autonomy on defined work. The spectrum is useful because autonomy is rarely all-or-nothing. The same operation can be fully autonomous on one task and human-only on another.
Aide, the AI platform for customer service, applies autonomy at the level of the intent, not the whole system. Classification of every message against the team's own topics lets each intent sit at the level of autonomy it has actually earned. An intent moves up the spectrum only once its automation has been verified against real historical conversations.
The Agent Governance Engine will not grant an intent more autonomy than its test record supports, so no customer ever meets an untested action. Each step up is visible to the team, which intents run at which level and why, so a more autonomous operation is a better-understood one. Autonomy, here, is earned per intent, not declared for the whole system.