New usage analytics and updated spend controls for enterprises

OpenAI is rolling out new spend controls and usage analytics for ChatGPT Enterprise, aimed squarely at the finance and IT folks who've been asking, politely and not so politely, where all the tokens are going. Until now, scaling ChatGPT across a big org meant a lot of trust and not much visibility. That changes today.

The headline feature is spend controls, which let admins set budgets and limits across teams or departments rather than eating one unpredictable monthly bill. Pair that with usage analytics, and suddenly a CIO can see which departments are actually using ChatGPT for real work versus which ones signed up during a pilot and forgot about it. That's the kind of data that turns an AI rollout from a leap of faith into a line item someone can defend in a budget meeting.

This is OpenAI reading the room. Enterprise AI spend has ballooned over the past two years, often without the guardrails that CFOs expect from any other software category. Vendors like Microsoft and Google have been building similar cost-management layers into their own AI stacks, so this isn't OpenAI inventing a category — it's OpenAI catching up to what enterprise buyers already demand before they'll sign bigger contracts.

The timing also says something about where OpenAI thinks its growth is coming from. Consumer ChatGPT gets the headlines, but Enterprise is where the real, sticky revenue lives, and sticky revenue requires the boring stuff: audit trails, cost predictability, granular controls. Nobody renews a six-figure AI contract on vibes alone.