Controllability refers to how well AI behavior can be guided or constrained through defined boundaries — on responses, tool usage, tone, data access, and scope.
A customer-facing agent that stays on topic, respects data access restrictions, and declines to make recommendations outside its designated scope is exhibiting controllability. The alternative is an agent that drifts, says things it should not, or takes actions outside its intended boundaries. In enterprise settings, controllability is not optional — it is a prerequisite for deploying AI in production.
