Knowledge gap

A knowledge base is the maintained source of truth that AI agents and human agents both answer from. Its accuracy sets a ceiling on the quality of every automated answer, which makes knowledge maintenance an operational requirement rather than a documentation project owned by nobody in particular.

Escalation is moving a contact to a more senior agent, a specialist team, or a human when automation stalls. Escalation paths are defined by business rules, and the rate at which contacts escalate is a direct measure of whether the first line is equipped to resolve them.

A fallback is the safe response an AI agent gives when its confidence is too low to act, typically an offer to hand the conversation to a human. Well-designed fallbacks fail early rather than guessing, because a confidently wrong answer costs far more than an admitted gap.

Containment rate is the share of automated conversations that end without escalation to a human. It is the primary efficiency measure for AI support, but a high rate only indicates success when paired with satisfaction and repeat-contact data confirming customers actually got their issue resolved.