Case Study: Domo Gains Visibility into AI Spend and Saves $1.2M with CloudEagle

A CloudEagle Case Study

Preview of the Domo Case Study

Domo saves $1.2M in Q1 with CloudEagle

Domo, a business intelligence software company, faced a challenge gaining visibility into its AI tool usage and spending. With tools like Claude, Gemini, and Cursor each using different consumption models, their $2.4M annual AI spend was fragmented across separate vendor consoles. This made it impossible to see which teams were actively using the tools, leading to wasted spend on inactive licenses and an inability to measure ROI.

CloudEagle implemented its platform to pull live usage data from all three AI tools into a single view. This solution mapped every token and API call to specific teams and cost centers, automatically surfacing inactive licenses. As a result, Domo identified that 34% of its AI licenses were unused and saved $1.2M in the first quarter by reclaiming and optimizing this access, bringing full visibility and control to their AI spend.


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