ChatGPT Work | Zapier: Seven Figures in Monthly Pipeline

TL;DR: A Zapier employee used ChatGPT and Codex to build an automated QA/QC system, cutting per-lead processing time from 35-45 minutes and generating seven-figure pipeline leads each month. ## Background: Zapier's "Leave No Lead Behind" Initiative At Zapier, the team launched an initiative called "Leave No Lead Behind," aimed at minimizing lost inbound leads and ensuring all leads successfully convert into meetings. Lead assignment follows a "one person, one lead" model, and Zapier receives thousands of such leads daily. Previously, manually processing a single lead typically took 35 to 45 minutes just to figure out what was wrong. ## Solution: Building an Automated System with ChatGPT and Codex I spent a weekend diving deep and used ChatGPT and Codex to build a system. This system can simulate all the steps a human would take, automatically perform quality assurance/quality control (QA/QC) on leads, and quantify the impact of the entire project. ## Results: Seven-Figure Pipeline Value Per Month After the system went live, it generates seven-figure pipeline leads every month, which can then be seamlessly handed off to the sales team. This has completely transformed how we work and expanded what we can achieve. --- Source: https://www.youtube.com/watch?v=sqXsMDOxP0Y