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Case Study: OpenAI moves from homegrown scripts to automated billing on Metronome

OpenAI Case StudySourced & dated by Case Study Desk
Key facts · TL;DR
Company
OpenAI
Industry
AI
Challenge
A manual, hardcoded-script billing system could not keep pace with rapid product launches and enterprise contracts.
Headline result
OpenAI went live on Metronome in production in less than two weeks and now makes pricing changes in the UI in under an hour, without engineering resources.

Key results

<2 weeks
From start to production on Metronome
<1 hour
To make a pricing change in the UI
with no engineering resources
Hours to minutes
Monthly invoice management
previously managed manually in Excel

The challenge

OpenAI was accelerating product launches and building an enterprise motion while running billing on a homegrown, manual system built from hardcoded scripts. That approach could not scale to support frequent product launches, self-serve and enterprise users, or usage-based pricing.

The solution

OpenAI adopted Metronome's platform, using its real-time data streaming for a rapid integration and its UI and workflows to manage plans, pricing, and enterprise contracts without engineering effort. Revenue Operations manages customer creation, plans, and alerting directly in Metronome.

Metronome has been an essential billing partner on our journey to bring the world products loved by millions of developers.

PW
Peter Welinder
VP of Product and Partnerships, OpenAI

The results, in context

OpenAI was up and running in production on Metronome in less than two weeks, with the full billing system implemented in a few weeks. New products and pricing changes can now be launched in hours, and the revenue operations team moved from spending hours each month managing invoicing in Excel to making changes in minutes in the Metronome UI.

Products used

Metronome Metronome usage-based billing platform