AI agent containment measures the ability of an AI system to fully resolve a customer's issue without transferring or escalating to a human agent. The metric is typically expressed as a percentage of total AI-handled interactions that reach resolution without human intervention.
Containment is one of the most tracked metrics for AI agent deployments, but it carries the same risks as deflection rate - high containment doesn't necessarily mean good service. An AI agent can 'contain' an interaction by providing a confident but incorrect answer, offering a partial workaround that doesn't fully resolve the issue, or simply outlasting the customer's patience. Meaningful containment measurement requires pairing the rate with quality indicators: was the resolution accurate, did the customer contact again about the same issue, and would the interaction pass the same quality evaluation applied to human agents? Without these checks, containment becomes a vanity metric.
