New research shows that businesses are struggling to forecast AI costs, with more than half missing targets by 11–25% and nearly one in four missing by over 50%.
CFO Dive’s Alexi Alexis reports on the risk of significant cost overruns as AI pilots move into production in 2026, with 84% of companies already seeing margin erosion linked to AI spend.
Click here to read the full story on Revenue Brew: https://www.revenuebrew.com/stories/2025/09/16/companies-lack-forecasting-ai
Mavvrik has signed a distribution agreement with Ingram Micro that allows channel partners to offer cost governance across cloud, AI, SaaS, Kubernetes, and on-premises environments. The announcement is most relevant for MSPs and resellers that need multi-tenant FinOps delivery, Azure Tier 2 billing visibility, and GPU chargeback capabilities for customer environments.
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Universities are investing heavily in shared GPU clusters for AI research, but many still lack clear cost visibility. Transparent GPU chargeback enables research computing teams to track usage, allocate costs across labs and grants, and improve financial accountability across complex infrastructure environments.
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AI spending is growing fast, but cost visibility hasn’t kept up. Most teams can’t clearly answer what they spend on AI, which teams drive it, or what it costs to support a feature or customer. Full Stack AI Cost Governance changes that.
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