Stampli是一个智能的采购到付款平台，连接采购、应付账款、供应商管理、支付和员工支出。其Deep Finance™产品将流经Stampli采购到付款平台的数据转化为面向CFO、副总裁及其他业务领导者的高管支出洞察。推出该产品意味着产品开发、定位、设计、传播、赋能和运营需要在固定时间表上并行推进，而设计资源和外部承包商已承诺投入其他优先事项。
Stampli的市场营销团队使用Codex将产品背景、会议记录、决策和消息传递指南连接到一个共享系统中。借助OpenAI工具，他们将预计243小时的生产工作压缩到约77小时，同时对所有面向客户的内容保持完整的人工审查和最终批准。
这次发布是贯穿Stampli产品营销团队日常工作的模式最清晰的例证：结合使用ChatGPT Work和Codex，保持产品知识的最新性，挖掘业务洞察，并更快地将想法推向市场。
“Codex缩短了客户需求、我们团队的响应以及来自实际使用中的真实学习之间的距离。通过将技术能力扩展到每个团队，它帮助我们从需求到可部署解决方案的速度提升了10倍。”
——Eyal Feldman，Stampli首席执行官兼联合创始人
从原型到发布，仅用六周
Deep Finance从初始原型演示到公开上市发布及首个交付产品，大约用了六周时间。由于设计资源和外部承包商已承诺投入其他优先事项，团队使用Codex将不断演变的产品决策转化为可供审查的资产，涵盖七部分博客系列、发布邮件、网络研讨会及其配套演示文稿、社交和付费创意、PR Newswire新闻稿、Deep Finance网页以及销售赋能材料。Codex还通过探索、迭代和打包帮助创建了发布的主视觉动画，在承包商完成开场场景和最终格式之前，处理了约90%的精修动画工作。
在明确的Deep Finance上市和内容生产工作流程中，Stampli团队估计，如果没有Codex，这次发布大约需要243个建模的活跃角色工时。使用Codex后，大约耗时77小时，节省约166小时，生产效率提升3.16倍。
为日常使用而构建的系统，而不仅仅是为发布
Deep Finance发布背后的基础设施与Stampli产品营销团队日常依赖的系统相同。过去，保持产品材料的最新性需要采访产品经理、阅读Jira工单、查看GitHub并梳理会议记录。团队随后必须将这些信息转化为帮助中心文章、演示文稿、一页纸简介和其他资产。
Stampli已通过GPT驱动的系统自动化了这一过程中的大部分工作。它从产品系统和会议记录中收集信息，然后帮助保持这些材料的最新状态。
同样的自动化帮助产品营销团队以更大规模创建内容。连接到公司单一事实来源的智能体可以为网站和社交渠道生成材料。据产品营销总监Melad Zahedi称，“它将一个小团队的产出放大了10倍，每周发布数百条内容，而之前仅限于几条。”
在关键时刻浮现洞察
ChatGPT Work还帮助员工将相关的业务背景带入重要决策中。Zahedi使用GPT驱动的自动化作为“第二大脑”，在排满连续会议的时间表中组织信息。
他说：“能够带着背景信息参加每次会议，理解会议对我的要求以及如何高效利用时间，这带来了巨大的好处。”
在一次高管会议中，出现了一个关于存储在HubSpot和其他系统中指标的问题。一名员工能够在通话期间快速要求Codex检索并分析相关数据。Zahedi说：“这件事如果让我们的财务规划与分析团队来做，需要半天时间整理报告、建立模型并给出我们信服的答案。而有人仅用20秒的键盘输入就完成了。”
为战略腾出更多空间
节省下来的时间让产品营销团队减少了重建背景信息的时间，增加了为领导者提供产品和公司战略建议的时间。同时，团队也更多地参与为副总裁和高管层提供公司及产品战略建议。
ChatGPT Work还充当产品营销团队的思维伙伴。员工使用它来深化知识、头脑风暴想法、创建利益相关者画像，并在向领导层展示建议之前进行测试。
产品、营销、客户成功、销售和赋能等跨职能团队正在使用ChatGPT Work和Codex将想法从原型推进到发布。Zahedi估计，借助OpenAI工具，这一过程大约耗时六周，而以前可能需要数月甚至数个季度。
下一步
Deep Finance的发布向Stampli展示了更互联、AI支持的产品周期可能是什么样子。现在，公司正在探索如何将该方法应用于更多产品、工作流程和上市计划。
对Zahedi而言，更大的机遇在于拓展员工对自己能够承担工作的认知。ChatGPT Work和Codex帮助他的团队学习新领域、构建自己的系统，并将更多时间投入到推动公司前进的决策中。
“保持好奇心，不断问‘我能做什么？’，并首先通过ChatGPT尝试一切，将会释放你未曾意识到存在于组织中——以及你自己身上的大量潜在能力。”
——Melad Zahedi，Stampli产品营销总监
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.
Making more room for strategy
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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