Next-gen FinOps for the AI era

Today we’re excited to announce the next generation of our FinOps product suite to help our customers increase operational efficiency, better understand their costs, and control them with Spend Caps. 

What’s new: We’re introducing a new FinOps Explainability agent, which is designed to operate autonomously, and investigate the drivers of your AI-related Cloud costs. This is in addition to new FinOps tooling which provides commercial auditability. 

We’re also announcing a private preview of Spend Caps in Google Cloud, enabling FinOps and DevOps managers to set budgets and enforce cost boundaries at the project level for Google AI Studio (AIS), Gemini Enterprise Agent Platform (the evolution of Vertex AI) , Cloud Run, Cloud Run Functions, and Maps. These caps alert and ultimately pause API traffic once your set budget is reached.

Why it matters for your business: These new FinOps tools give you clear visibility into AI costs, increase control with Spend Caps to prevent overspending, and offer the commercial flexibility needed to scale your AI innovations efficiently. Customers who are using our existing  FinOps tools are seeing huge improvements. Since launching Gemini Cloud Assist (GCA) for FinOps last year, cost reporting adoption has surged 75% while simultaneously slashing customer time spent doing FinOps cost analysis by 18%.

Where to get started:  You can access the FinOps Explainability Agent in the console here, along with the FinOps tooling. Customers can sign-up for the private preview of Spend Caps here.  

Goodbye static reporting 

Given the number of variables and the number of services commonly running for a large enterprise, cloud cost reporting can be noisy. Even when, in theory, AI costs are just the result of quantity (q) times price (p). Quantity can be driven by a large mix of variables such as API request traffic, error logs, fluctuating token counts, or even cloud storage. And price often fluctuates with different AI model types, and frequent provider price shifts. This challenges FinOps and DevOps managers to synthesize this data to identify efficiency opportunities, or take timely action. 

In Google Cloud Billing we used Gemini to develop our new FinOps Explainability agent to autonomously help users understand the drivers of AI costs. Attributing ROI to AI projects requires a clear understanding of its costs, but because AI often piggybacks on existing infrastructure, its expenses frequently blur into the general cost of doing business.

Now you can use the FinOps Explainability agent to identify your AI cost drivers automatically, and use it to answer questions like:  “How much did I spend on Gemini 1.5 Pro versus Gemini 1.5 Flash?” Or,  “Break down my total spend by API Key so I can see which integration is expensive.” Or, “Show me the split between Input Token costs and Output Token costs for Gemini 3.0 Pro.” Users can quickly discover what services and which projects are driving your AI costs.

Hello automated Spend Caps

The speed of AI adoption and usage is driving cloud spend that behaves differently than traditional cloud spend. AI uses specialized hardware (TPU/GPUs) and a single runaway training job or unoptimized model running on that hardware can drain a budget in a very short amount of time. Users are also constantly experimenting. Traditional cost control tools typically alert managers, but don’t enforce budget caps. The result: many enterprises have been forced to build their own complex custom spend guardrails that are enforced through destructive actions that may be time consuming to adjust, such as disassociating forms of payment. 

We’re excited to announce that Spend Caps are coming soon to Google Cloud. Designed to work with Google Cloud Budgets, FinOps and DevOps can set budgets that enforce automated cost boundaries (caps) at the project level for AIS, Agent Platform, Cloud Run, Cloud Run Functions, and Maps. These caps alert and ultimately pause API traffic once your set budget is reached, but leave your resources intact. If you need the traffic to resume, simply suspend the Spend Cap. 

We expect customers that want to contain the costs of AI R&D to benefit immensely from this new feature. You can sign up for the private preview today.

Real commercial incentive auditability.  

Google Cloud meets you at every stage of growth—offering the commercial flexibility, startup programs, and enterprise incentives needed to help your costs scale efficiently. To help users more clearly understand the connection between commercial agreements and the services being billed, we’ve designed our FinOps tooling to provide end-to-end auditability of our commercial obligations. With the private preview rollout of enhanced billing account hierarchies, customers can view their aggregated spend across multiple billing accounts, including Other Eligible Services (OES) spend. Additionally, we are announcing a private preview for Google Cloud contract commitment reporting, providing visibility into Google Cloud commit contract burndown within your Enterprise Agreement. 

The future of FinOps is here. Built with AI for AI. 

With the FinOps Explainability agent for deep visibility, Spend Caps for increased control, and enhanced billing account hierarchies with contract commitment reporting for ultimate commercial flexibility, Google Cloud is empowering you to scale your AI innovations with confidence and precision.