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.

“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

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

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.