AI agent governance is the set of controls that determine what an autonomous agent is allowed to do, when, and on whose authority — and that record why each action was permitted.
Letting an AI agent act on a company's behalf raises an accountability problem: who authorized this action, and can it be justified after the fact? Governance answers that with explicit authority levels, gates on sensitive actions, and an auditable trail.
Osora's approach ties governance to capture. Skills earn authority through maturity gates rather than being switched on, and provenance binds every action to the rule and moment that authorized it — so an agent's behavior is always explainable.
Record a process in two minutes and watch it become searchable company memory — and a skill that can run it.