Skip to content

Customer Support

How I Reduced Misrouted Tickets by 89% Using LangGraph

If you've ever watched a customer support ticket bounce between three different agents… or had a customer rage-quit after explaining their problem for the third time - this is why:

Your tickets aren't getting to the right people.

27% of support tickets land on the wrong desk. That means 1 in 4 customers gets transferred, re-explains their problem, and waits longer for help.

Misrouted tickets slow down support, kill customer trust, burn team time, and spike churn. Trying to patch it with a chatbot only makes it worse.

So instead of building another chatbot, I built them a system to fix the root cause. And the misroutes were cut by 89% in a couple of weeks.

The Proven 6-Step Process to Build Customer Support AI That Actually Works

90% of AI customer support implementations crash and burn within 3 months.

Not because the technology doesn't work. It's because everyone starts with the same mistake: they start with a chatbot.

While your competitors are burning cash on chatbots that make customers angrier, I'm going to show you the 6-step system that actually works. The same system that took one team from 27% misrouted tickets to under 3% in just a couple of weeks.