AIToday
Large Language ModelsOpenAI BlogPublished: Aug 21, 2026, 01:00 JST

Stampli uses Codex, ChatGPT Work to launch Deep Finance in 6 weeks

Stampli uses Codex, ChatGPT Work to launch Deep Finance in 6 weeks

3 Key Points

  1. What happened

    Stampli, a procure-to-pay platform, launched its Deep Finance product in about six weeks using OpenAI's Codex and ChatGPT Work. The team compressed an estimated 243 hours of production work into about 77, saving roughly 166 hours.

  2. Why it matters

    This launch shows how AI tools that connect product data and meeting notes can speed up go-to-market work. Stampli's marketing team produced assets like a seven-part blog series, launch emails, and a webinar, with Codex handling about 90% of the hero animation before a contractor finished it.

  3. What to watch

    The key question is whether this one-time launch success can become a repeatable pattern. Stampli says it now uses the same system daily, and its product marketing director reports multiplying output by 10x, producing hundreds of content pieces weekly instead of a couple.

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Context & Analysis

The real test is whether this pattern scales beyond the launch. Stampli is exploring applying the approach to more products and workflows. The outcome hinges on whether employees embrace AI as a thought partner, learning new disciplines and testing ideas before presenting. If they do, the company could unlock latent capacity across teams, but this remains to be seen.

FAQ
How much time did Stampli save using OpenAI tools?
Stampli estimates the launch would have taken about 243 modeled active role-hours without Codex. With Codex, it took approximately 77, saving roughly 166 hours.
What did Codex help create for the Deep Finance launch?
Codex helped create assets like a seven-part blog series, launch emails, a webinar, social and paid creative, a PR Newswire release, and sales enablement materials. It also handled about 90% of the hero animation work before a contractor finished it.

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