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

OpenAI News ()4 min read5 · 3 reads
AI summary · grok-4.7Summaries by Vani AI

Fleet software maker Proaction says Codex demos raised deal progression about 60% and saved engineering hours.

Proaction, a fleet-management software company, says non-technical staff use OpenAI Codex to turn sales calls, emails, and spreadsheets into customized HTML demos in 30–45 minutes. Co-founder Colin Knudsen estimates four to six demos a month avoid 40–60 hours of engineering work and that deals moving from first contact into solution development rose 50–60%. The company also uses ChatGPT-5.6 Sol to assess damage photos and GPT-Live-1 and GPT-6 Astra for voice agents that handle maintenance, tolls, and service.

Key facts
  • Non-engineers build four to six custom demos monthly in 30–45 minutes.
  • Codex reportedly avoids 40–60 engineering hours and lifts deal progression 50–60%.
  • Plugins link Granola, Gmail, Slack, Linear, GitHub, and HubSpot inside Codex.
  • GPT-Live-1 and GPT-6 Astra power voice agents such as maintenance coordinator Marty.
  • ChatGPT-5.6 Sol helps identify vehicle damage from customer photos.
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From the original article

4 min read at openai.com

With Codex, GPT-Live-1, and GPT-6 Astra, Proaction builds, operates, and sells modern fleet management faster.

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.