Software Engineering Leaders Should Co-Own Responsibility of AI FinOps: A Guided Tour

• How Google Gemini Enterprise’s new pricing models are reshaping AI budgeting and FinOps responsibilities 

• Ways to segment developer usage and optimize AI spend across your engineering teams 

• How to partner with IT procurement to negotiate hybrid pricing and maximize cost savings 

• Best practices for monitoring AI consumption and optimize token consumption

As Google rolls out major Gemini Enterprise pricing changes - including user-based licensing, consumption-based pay-as-you-go, and flexible savings plans - software engineering leaders must step up to co-own AI FinOps with IT procurement. With AI coding agent costs rising and usage patterns varying widely, traditional budgeting approaches are no longer enough. This session will break down the new pricing models, show you how to segment developer usage, and offer actionable strategies for building robust cost management and vendor negotiation practices. Join Gartner experts, Nitish Tyagi and Alec Palin, to learn how to optimize your AI coding budgets, avoid surprise overruns, and drive measurable business value from your AI investments. 

For software engineering leaders, CIOs, CTOs, SPVM, enterprise architects, and those responsible for deploying or managing AI systems, understanding and adapting to these new standards is now critical for effective cost management and maintaining a competitive edge. 

Return to this web page to watch the webinar. Contact us at gartnerwebinars@gartner.com with questions about viewing this webinar.

Want to learn more and discuss the implications? Book an analyst consultation with Nitish Tyagi, Ray Collins, Luke Parker, Alec Pallin or Shiva Varma. 

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