Proaction, a fleet-management software company, deployed OpenAI's Codex to transform its sales process. Co-founder and COO Colin Knudsen now creates four to six customized, interactive demos monthly—each taking 30 to 45 minutes to build—by directing Codex to call recordings, email threads, and prospect data (OpenAI News). Rather than relying on engineers, Colin generates HTML demo environments that mirror Proaction's product and reflect the prospect's own fleet, allowing non-technical salespeople to close the loop without engineering involvement.
The impact on deal velocity is substantial. The percentage of deals moving from initial contact into solution development has increased by 50% to 60% with custom demos (OpenAI News). Engineering time savings are equally significant: comparable manual demos would require approximately 10 hours each, meaning monthly Codex-assisted demos save 40 to 60 hours of engineering effort (OpenAI News). For commerce practitioners, this illustrates how AI code generation can unlock sales velocity by decoupling personalization from engineering capacity, enabling faster prospect engagement and clearer requirements handoff to product teams.
Proaction also deploys OpenAI voice agents—including GPT‑Live‑1 and GPT‑6 Astra—to handle fleet operations tasks such as maintenance coordination and service scheduling (OpenAI News). The company estimates Colin's broader use of Codex across sales, support, and product tasks saves an additional 25–33 hours per month, signaling how multi-tool AI integration can consolidate workflows and reduce context-switching friction in high-velocity sales environments.