---
格式版本: 2
标题: "Stampli cuts launch hours by 68% using ChatGPT Work"
原文链接: "https://openai.com/index/stampli"
发布日期: "2026-09-07"
发布时间校准状态: "found"
发布时间需复核: "否"
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发布时间证据: "provider publishedAt: 2026-09-07"
发布时间校准原因: "候选日期来自页面提供的元数据发布信息，且没有其他冲突日期，符合文章发布时间判断标准。"
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发布时间原页读取状态: "source template page reused from URL open"
发布时间未找到原因: ""
发布时间校准时间: "2026-09-07T22:54:25+08:00"
发布时间仲裁状态: "confirmed"
发布时间仲裁尝试次数: 1
发布时间仲裁耗时毫秒: 4573
发现时间: "2026-09-07T22:06:43+08:00"
入库时间: "2026-09-07T14:54:32.123Z"
来源平台: "固定入口"
搜索渠道: "fixed_url"
搜索词: "https://openai.com/news/security/"
匹配关键词:
  - "AI"
相关厂家:
  - "OpenAI"
相关专家:
  []
内容类型: "网页"
抓取工具: "Free Fetch + Defuddle"
清洗工具: "Defuddle Markdown + Defuddle/Readability 正文提取"
原始附件:
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AI优质: "否"
AI打分: 25
AI分档: "非优质"
AI质检状态: "不通过"
AI打分理由: "正文主线是Stampli使用ChatGPT Work和Codex制作营销内容、整理业务信息并缩短产品上市周期，属于企业应用与工作效率案例，不涉及超节点、AI Rack、机架级互连、供电、液冷或RAS。来源为OpenAI官方客户案例，但关键成效主要是客户自估和宣传性表述。固定知识库未见该案例的历史记录，但未命中不能证明首次出现；本文新增的243小时降至77小时、六周上线等事实仅属于应用工作流，不构成机架级基础设施新增。命中应用导向强否决，且无相关产品、标准、量产或基础设施部署通道。"
AI质检模型: "gpt-5.6-sol"
AI质检时间: "2026-09-08T04:35:28+08:00"
AI主题相关性: 0
AI来源权威性: 12
AI新颖性: 4
AI技术细节: 0
AI商业部署信号: 0
AI完整性: 9
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AI评分知识库版本: "knowledge_base_v1-20260819+runtime.87"
AI评分知识库SHA256: "93ca8fb8a4c1ba6cd0f932089fad55eb0ad588dfb335dc4bd8fb1ef642a34d31"
AI评分知识库检索词: "[\"OpenAI\",\"https://openai.com/news/security/\",\"RAS\",\"Intel\",\"PR\",\"GPT\",\"CFOs\",\"VPs\",\"CEO\",\"GTM\",\"FP\",\"AI-supported\"]"
AI评分知识库命中: "[{\"id\":\"historical-may-024\",\"title\":\"OpenAI、Microsoft等围绕MRC协议构建更大规模AI以太网训练网络\",\"sourceType\":\"curated_item\",\"time\":\"2026-05\",\"matchedTerms\":[\"OpenAI\",\"Intel\"],\"rank\":-9.719797479570278},{\"id\":\"july-correct-0077\",\"title\":\"AMD and OpenAI: Collaborating Across Every Layer of the Stack\",\"sourceType\":\"labeled_article\",\"time\":\"2026-07\",\"matchedTerms\":[\"OpenAI\",\"RAS\",\"PR\",\"GPT\",\"CEO\"],\"rank\":-8.788291516121232},{\"id\":\"july-correct-0015\",\"title\":\"AMD to join the optical interconnect party with 2027 Instinct GPUs\",\"sourceType\":\"labeled_article\",\"time\":\"2026-07\",\"matchedTerms\":[\"OpenAI\",\"PR\",\"GPT\",\"CEO\"],\"rank\":-7.6746920784507004},{\"id\":\"runtime-9bc80a24a6539bc9fc9bd712\",\"title\":\"Nvidia Backs OpenAI’s Ohio Data Center Buildout With $105B\",\"sourceType\":\"ai_excellent_article\",\"time\":\"2026-08-19\",\"matchedTerms\":[\"OpenAI\",\"RAS\",\"Intel\",\"PR\",\"CEO\"],\"rank\":-7.402589260296436},{\"id\":\"july-correct-0033\",\"title\":\"Microsoft, Alphabet, Meta Pivot from Buy to Build in AI\",\"sourceType\":\"labeled_article\",\"time\":\"2026-07\",\"matchedTerms\":[\"OpenAI\",\"RAS\",\"PR\",\"GPT\",\"CEO\"],\"rank\":-6.942452232992662}]"
AI摘要: "Stampli 使用 OpenAI 的 Codex 与 ChatGPT Work，将新款 Deep Finance 产品的上市制作时间从约 243 小时压缩到约 77 小时，提速 3.16 倍，整个流程约六周完成。"
AI摘要模型: "ali-deepseek-v4-flash"
AI摘要时间: "2026-09-07T21:43:34.442Z"
采集批次: "2026年9月7日22点05分18秒"
采集批次ID: "20260907-220517-361"
去重键: "https://openai.com/index/stampli"
---

With a fixed deadline and design resources committed elsewhere, Stampli used Codex and ChatGPT Work to compress weeks of launch production into days.

Company size: Mid-market

Region: North America

Industry: Finance, Technology

Products: Codex

100s

Pieces of content created each week using ChatGPT Work

3.16x

Faster launch to production with Codex

Stampli is an intelligent procure-to-pay platform that connects procurement, accounts payable, vendor management, payments, and employee spend. Its Deep Finance™ product transforms the data moving through Stampli’s procure-to-pay platform into executive spend intelligence for CFOs, VPs, and other business leaders. Launching it meant product development, positioning, design, communications, enablement, and operations all moving in parallel, on a fixed timeline, with design resources and outside contractors already committed to other priorities.

Stampli’s marketing team used Codex to connect product context, meeting notes, decisions, and messaging guidelines into a shared system. With OpenAI tools, they compressed an estimated 243 hours of production work into about 77, while keeping full human review and final approval on everything customer-facing.

That launch is the clearest example of a pattern that runs through Stampli’s product marketing team every day: using ChatGPT Work and Codex together to keep product knowledge current, surface business insights, and move ideas to market faster.

> “Codex shortens the distance between a customer’s need, our team’s response, and real learnings from usage. By extending technical abilities across every team, it helps us move 10x faster from requirement to deployable solution.”

—Eyal Feldman, CEO and Co-Founder, Stampli

## From prototype to launch, in six weeks

Deep Finance moved from an initial prototype demo to a public GTM launch and first shipped product in about six weeks. With design resources and outside contractors committed to other priorities, the team used Codex to turn evolving product decisions into review-ready assets across a seven-part blog series, launch emails, a webinar and its supporting deck, social and paid creative, a PR Newswire release, the Deep Finance web page, and sales enablement materials. Codex also helped create the launch’s hero animation through exploration, iteration, and packaging, handling roughly 90% of the polished animation work before a contractor finished the opening scene and final format.

Across the defined Deep Finance go-to-market and content production workflow, the Stampli team estimates the launch would have taken about 243 modeled active role-hours without Codex. With Codex, it took approximately 77, saving roughly 166 hours or 3.16x faster production.

## A system built for daily use, not just launches

The infrastructure behind the Deep Finance launch is the same one Stampli’s product marketing team relies on day to day. Keeping product materials current used to require interviewing product managers, reading Jira tickets, reviewing GitHub, and working through meeting notes. The team then had to translate that information into help center articles, presentations, one-pagers, and other assets.

Stampli has automated much of that process with a GPT‑powered system. It gathers information from product systems and meeting notes, then helps keep those materials up to date.

The same automations help the product marketing team create content at greater scale. Agents connected to the company’s source of truth can produce material for the website and social channels. According to Melad Zahedi, Director of Product Marketing, “it’s multiplied the output of a small team by 10x, putting out hundreds of pieces of content on a weekly basis, where it was limited to just a couple before.”

## Surfacing insights when they matter

ChatGPT Work also helps employees bring relevant business context into important decisions. Zahedi uses GPT‑powered automations as a “second brain” to organize information across a schedule filled with back-to-back meetings.

“Being able to go to every meeting prepared with context, understanding what is needed from me in that meeting and how to stay efficient with my time, has been an amazing benefit,” he says.

In one executive meeting, a question arose about metrics stored across HubSpot and other systems. An employee was able to quickly ask Codex to retrieve and analyze the relevant data during the call. “This is something that would’ve taken our FP&A team half a day to put a report together, give us a model, and give us an answer that we felt confident in. Someone was able to do it with 20 seconds of keystrokes,” Zahedi says.

The time saved let product marketing spend less time reconstructing context and more time advising leaders on product and company strategy. At the same time, the team became more involved in advising VPs and C-suite leaders on corporate and product strategy.

ChatGPT Work also serves as a thought partner for product marketing. Employees use it to deepen their knowledge, brainstorm ideas, create stakeholder personas, and test recommendations before presenting them to leadership.

Teams across product, marketing, customer success, sales, and enablement are using ChatGPT Work and Codex to take the idea from prototype to launch. Zahedi estimates that with OpenAI tools the process took about six weeks, which previously would have taken months or even quarters.

## What’s next

The Deep Finance launch showed Stampli what a more connected, AI-supported product cycle could look like. Now the company is exploring how to apply that approach across more products, workflows, and go-to-market programs.

For Zahedi, the larger opportunity is expanding what employees believe they can take on. ChatGPT Work and Codex have helped his team learn new disciplines, build its own systems, and spend more time on decisions that move the company forward.

> “Being curious and just asking, ‘What can I do?’ and trying everything first through ChatGPT will unlock a lot of latent capacity that you didn’t realize was there in your organization—and in yourself.”

—Melad Zahedi, Director of Product Marketing, Stampli

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