Shift Left FinOps: AI Powered Cost Control

The rapid evolution of technology and the increasing complexity of software development have led engineering teams to continuously adapt their strategies and methodologies.

Represents directional decision or path selection. Highlights choosing a cost strategy.

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AI budgets in enterprises are increasingly being allocated towards operations rather than training, reflecting maturity in AI spending. However, a significant portion of projects face unexpected costs, which can derail progress. Data from Gartner, Mavvrik, and Deloitte highlight this transition and its associated challenges.

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Ray (Benchmarkit) sat down with Kathy Rudy (ISG), Larry Lubinski (AlixPartners), and Sundeep Goel (Mavvrik) to break down what’s really happening with AI spend and why so many companies still can’t answer a simple question: what is this actually costing us?

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The Mavvrik LiteLLM integration brings cost and usage data recorded by LiteLLM Proxy into Mavvrik. Finance, FinOps, engineering, and AI platform teams can analyze that consumption alongside other AI cost sources without building a separate reporting pipeline.

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