How to automate customer support with AI?

Start with a narrowly scoped chatbot handling 10-15% of your most repetitive tickets (password resets, billing questions, order status), then expand as you prove ROI. Most founders see wins by first documenting FAQs and common issues, then training a model on your actual support tickets using tools like OpenAI's API, Intercom's AI, or Zendesk's native bot. Deploy in a support channel (Slack, web widget) where it handles initial triage, escalates to humans when confidence drops below 70%, and logs every deflection for your team to review. Realistic expectation: 30-40% of simple tickets fully resolved, 50-60% deflected to humans faster. The trap is launching AI that frustrates customers with wrong answers. Start small, measure deflection rate and customer satisfaction, and add guardrails that let humans override any AI response in 10 seconds. Tools like Intercom, Zendesk, or Help Scout now have built-in AI at reasonable costs ($100-500/month). Skip the temptation to automate complex billing disputes or refunds early. Most successful launches automate data lookup and status checks first, then move to troubleshooting.