Stampli cuts launch hours by 68% using ChatGPT Work

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.

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.

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.

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.”