How I AI

How this CEO turned 25,000 hours of sales calls into a self-learning go-to-market engine | Matt Britton (Suzy)

152 snips
Nov 10, 2025
Matt Britton, founder and CEO of Suzy, shares his innovative journey of transforming 25,000 hours of sales calls into a self-learning AI system. He dives into crafting an automated workflow that generates call summaries, sentiment analysis, and personalized feedback for sales reps—all without coding. Matt explains how extracting keywords from conversations fuels Google ad campaigns and discusses privacy-compliant blog content generation. He emphasizes the importance of building AI skills for leaders and explores the organizational impacts of these automations.
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INSIGHT

Calls Are The Ultimate Customer Data

  • 25,000 hours of recorded customer calls are the ultimate source of truth about customer needs and language.
  • Building systems on top of those transcripts unlocks real-time and historical market intelligence.
ADVICE

Scrape The UI To Create Reliable Triggers

  • When data isn't exposed, scrape or feed the UI to create a trigger for automation tools like Zapier and Browse AI.
  • Persist until you solve the scraping hurdle because it unlocks all downstream automations.
ADVICE

Preprocess Transcripts Before LLMs

  • Clean and normalize scraped transcripts before analysis by removing HTML and noise.
  • Add brief delays after scrapes to avoid race conditions when running many automations.
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