Reactive Support

Reactive support has been the default customer service model for decades — customers encounter a problem, contact support, and wait for resolution. While reactive support will always be necessary, relying solely on it means customers must experience frustration before receiving help. Common reactive channels include email tickets, phone calls, live chat, and social media messages.

The quality of reactive support is measured by response time, resolution time, first contact resolution rate, and customer satisfaction. AI agents dramatically improve reactive support by eliminating wait times (instant response), maintaining consistency (same quality at 3am as 3pm), and resolving routine issues without human involvement. The goal for modern support organizations is to shift the balance from primarily reactive to primarily proactive, using AI to anticipate and prevent issues before customers need to reach out.