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How This CEO Turned 25,000 Hours of Sales Calls Into a Self-Learning Go-to-Market Engine | Matt Britton (Suzy)

In this episode, Suzy CEO Matt Britton explains how he transformed 25,000 hours of sales call data into a self‑learning go‑to‑market engine using trigger‑based Zapier automations, LLM‑generated summaries, sentiment scores, and keyword extraction. He demonstrates practical techniques for quantifying sentiment to predict churn, delivering automated coaching feedback, creating follow‑up emails, and even generating privacy‑compliant blog content from call transcripts. Britton stresses that CEOs should get hands‑on with AI workflows rather than delegating to engineers, leveraging tools like Browse AI, Google Sheets, and Slack for real‑time insights. Listeners walk away with a systematic, no‑code blueprint for turning raw conversation data into actionable sales and marketing intelligence.