OpenAI has introduced spend controls and enhanced usage analytics for ChatGPT Enterprise to enable organizations to monitor AI adoption, track consumption across teams, and set budgets for AI usage. But, analysts cautioned, it still can’t show how those costs lead to business benefits.
The new features provide administrators with centralized dashboards showing how ChatGPT is being used across an organization, enabling them to unders, principal analyst at Forrester.
“Enterprises are clearly shifting from adoption-led enthusiasm to cost and value governance, but this is a natural maturity transition rather than a pullback,” Mahapatra said. “AI is no longer an adoption problem but a measurement and credibility problem, with productivity gains present but fragmented and hard to tie to financial outcomes.”
As AI expands across business units, spending becomes distributed across teams, tools and experiments, making visibility and governance increasingly important, he said.
“Budgeting, usage visibility and spend controls are therefore becoming foundational, not just operational concerns, as they enable alignment between technology usage and business outcomes,” Mahapatra added.
OpenAI is addressing those needs with its new dashboards and spending controls address, he said.
Agent sprawl will add to cost control challenges
is becoming a focus for enterprises, as fragmented pricing models, vendor-defined consumption units and inconsistent pricing structures make it difficult for organizations to predict AI costs.
She expects the challenge to intensify over the next few years as enterprises scale up their use of AI.
“By 2028, an average global Fortune 500 enterprise will have over 150,000 agents in use, up from less than 15 in 2025, generating significant .
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