Build an AI support layer that triages every ticket on arrival, drafts the reply you approve in ten seconds, and answers the routine cases without you watching.
Your support inbox is winning, and you are the bottleneck on every reply.
Most founders try to fix support by answering faster, so they stay glued to the inbox and the backlog still grows. The work that actually scales is sorting what comes in, drafting the response before you touch it, and deciding which questions a bot should close on its own.
This course builds that system one layer at a time. You start by sorting your last hundred tickets to see the real patterns, set up triage that tags and routes each message on arrival, then move from approving AI-drafted replies in seconds to letting the bot answer the repetitive cases outright. You add proactive answers that resolve questions before they reach you, and you read the numbers to know what to trust the system with next.
You walk away with a working AI support layer: triage that sorts and routes tickets automatically, an approve-in-ten-seconds reply flow, an auto-answer bot for routine questions, and a metrics view that tells you what to hand off next.
Solo founders: are drowning in support tickets and want a system that handles the routine ones without hiring.
Small support teams: want triage and drafted replies so agents spend their time on the cases that actually need a human.
Operators: want a support layer that runs unattended and reports the numbers that prove it is working.