Decagon AI agents use cases
Noom's AI went from solving 59% to 68% of questions in 30 days
The share of questions solved without a person rose from 59% to 68% in 30 days.
Chime cut support costs 60% while doubling member satisfaction
Support costs down 60%; member satisfaction scores doubled.
Duolingo's English Test had AI solve 80% of chats from day one
80% of chats solved by AI right after launch, up from about 30% with the old tool.
Rippling's AI now solves over half of chats across 12 products
Chats solved without a person rose from 38% to over 50%, for 400,000 users.
Whop's AI agent handles 70% of tickets and showed the team what to fix
65–70% of tickets handled by AI. Payment tickets halved after fixing what the AI flagged.
SimplePractice's AI solved 85% of questions a month after launch
85% of questions solved without staff within one month, beating its 66% year-end goal.
1-800-Flowers tested AI agents on chat and phone, and 93% of customers were happy
About 93% of customers rated it well, well above its old automated system.
ClassPass moved chat to 24/7 with AI and cut costs 95%
32% more questions solved without staff, costs down 95%, and chat now open 24/7.
Curology's AI chat now takes 80% of tickets and cut costs 65%
Chat went from 5% to 80% of all tickets, and support costs fell 65%.
Notion solves support tickets 34% faster with an AI agent
Up to 34% faster answers. Twice as many questions solved by AI, and only 3.4% of people ask for a human.
Substack's AI agent solves 90% of user questions
Over 90% of questions answered without a person, and users are happy with it.