Article

Decagon case study: Notion

Decagon · decagon.ai

Concrete numbers from a product founders know: 34% faster resolution and a 3.4% ask-for-human rate.

Open on decagon.ai ↗

The question it answers

  1. Why can AI now handle most support tickets, and should it?

Read with it

  1. The clearest outside teardown of how betting the company on an AI support agent took Fin from $1M to $100M+ ARR. growthunhinged.com Article Intercom's decisive bet on AI Kyle Poyar (Growth Unhinged)
  2. Decagon's CEO explains exactly which tickets AI can genuinely resolve today and where it still breaks. open.spotify.com Podcast How AI Agents Are Transforming Customer Support, with Decagon's Jesse Zhang No Priors (Sarah Guo & Elad Gil)
  3. A sharp market-level view of why support became the first big AI agent category and what buyers actually get. a16z.com Podcast Can AI Agents Finally Fix Customer Support? a16z (Kimberly Tan & Jesse Zhang)
  4. The former Salesforce co-CEO's argument for why every brand's AI agent becomes its front door. sierra.ai Podcast No Priors Ep. 82: Transforming Customer Service through Company Agents, with Sierra's Bret Taylor No Priors with Bret Taylor
  5. Taylor connects AI support resolution to the deeper shift from selling software to selling outcomes. sequoiacap.com Podcast How AI is Reinventing Software Business Models ft. Bret Taylor Sequoia Capital Training Data
  6. A grounded profile of Decagon with real customer names and numbers, useful for calibrating the hype. forbes.com Article This 28-Year-Old AI Founder Thinks His Customer Service Startup Can Beat Out Companies 10x His Size Forbes (Rashi Shrivastava)
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