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Google enhances FinOps with new flexible billing and cost controls for Gemini Enterprise AI agents

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Google has introduced expanded billing flexibility and new cost management tools for AI agent workloads within Gemini Enterprise and its developer tools. These updates enable businesses to optimize AI spend with options like pay-as-you-go, consolidated pooled quotas, and Flexible Savings Plans. Designed for FinOps in the AI era, the features help align costs with usage patterns, protect budgets, and provide visibility for engineering, marketing, and operational teams. Select features are rolling out now, with others broadly available or coming soon.

  • →Introduce flexible payment options for Gemini Enterprise agents
  • →Consolidate developer access and pooled quotas for AI tools
  • →Offer Flexible Savings Plans for Gemini Enterprise usage
  • →Provide robust spend guardrails and governance in Google Cloud Billing Console
Features (4) ›
  • Introduce flexible payment options for Gemini Enterprise agents

    Users can now combine existing per-user seat subscriptions with a new pay-as-you-go option in the Gemini Enterprise app. This allows agent workloads to run without quota limits, scaling spend automatically with actual usage.

  • Consolidate developer access and pooled quotas for AI tools

    Google Antigravity and Android Studio AI use is now included in Gemini Enterprise subscriptions, with usage across app, platform, and developer tools rolling up into a single view. Daily usage allowances are pooled project-wide, maximizing resource utilization across business apps and developer tools.

  • Offer Flexible Savings Plans for Gemini Enterprise usage

    Organizations can commit to a monthly spend across Gemini Enterprise for 10-20% off token costs, with no minimum or maximum spend requirements. These plans are designed to lower token costs while maintaining budget flexibility and are Enterprise Agreement friendly.

  • Provide robust spend guardrails and governance in Google Cloud Billing Console

    New tools enable setting hard monthly caps on AI spend at the project level, estimating agent runtime costs, and detecting budget spikes. Features include early anomaly detection, project-level spend caps with API call pausing, and automated email alerts.

Read the original announcement →

https://cloud.google.com/blog/products/ai-machine-learning/flexible-billing-and-cost-controls-for-agents-on-google-cloud/

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