Stampli, the procure-to-pay fintech platform, compressed its Deep Finance product launch from weeks to six total weeks using OpenAI's ChatGPT Work and Codex, reducing estimated production work from 243 hours to 77 hours (3.16x faster). The team used Codex to synthesize product decisions, meeting notes, and messaging into a unified system that generated review-ready assets across a seven-part blog series, launch emails, webinar decks, social creative, PR releases, product pages, and sales enablement materials.
With design resources and outside contractors committed elsewhere, Stampli's product marketing team leveraged ChatGPT Work to automate context extraction from Jira, GitHub, meeting notes, and product systems. Codex handled roughly 90% of animation production work before a contractor added finishing touches. The infrastructure Stampli built for the Deep Finance launch now runs day-to-day content operations: the team reports producing hundreds of pieces of content per week (10x prior output), where it previously generated just a couple.
For architects, the case signals how agentic AI reshapes go-to-market velocity. By automating content synthesis and decision routing, teams reallocate humans to strategy and advisory work rather than reconstruction of context. Stampli's on-the-ground efficiency gain—moving prototype to shipped product in six weeks with constrained headcount—mirrors patterns across enterprise teams adopting persistent AI agents as workflow teammates rather than conversational assistants.