Proaction boosts sales 60% and saves 75+ hours with Codex

Proaction, a company building software for fleet management, uses OpenAI's Codex to transform its sales and operations. Co-founder and COO Colin Knudsen, who is non-technical, now creates four to six customized interactive demos per month using Codex—each taking just 30 to 45 minutes—avoiding 40 to 60 hours of engineering work monthly. By feeding Codex with call recordings, emails, and prospect data, he generates HTML demos featuring the customer's own fleet vehicles and workflows, increasing the percentage of deals moving from initial contact to solution development by 50% to 60%. Beyond demos, Colin leverages Codex plugins for tools like Granola, Gmail, Slack, Linear, GitHub, and HubSpot to handle his daily tasks across sales, support, and product management, estimating Codex saves him an additional 25 to 33 hours per month—bringing total savings to over 75 hours. Proaction also leverages OpenAI models across its platform: GPT-5.6 Sol identifies vehicle damage from photos, while GPT-Live-1 powers voice agents like "Marty" that coordinate vehicle maintenance. GPT-6 Astra accelerates building these capabilities. Danny O'Halloran, Head of Product, notes that "Astra's computer-use runs are more succinct" compared to previous models. Together, Codex and OpenAI models give Proaction more time to sell and support customers while delivering significant value to fleet managers.

(Source：OpenAI)