How to Drive AI ROI Guide

Connecting cost, performance and infrastructure so you can scale responsibly.

AI spend is growing fast and for most organizations, it’s growing in the dark. This practical guide is for engineering, finance and FinOps leaders who need more than dashboards in the age of AI; they need answers. Learn how Datadog enables organizations to connect AI spend to the infrastructure and model performance data required to make real-time decisions.

Inside, you’ll learn how to:

• Break down AI costs by token, model, provider and team across OpenAI, Anthropic, and beyond
• Get alerted the moment inference volume spikes or API spend exceeds budget, not weeks later
• Correlate cost increases directly to architectural changes, so root-cause analysis takes minutes, not months
• Put cost data in front of the engineers making the decisions that drive it
• Connect cloud spend to GPU efficiency and model performance for a complete picture of ROI

See how Kevel cut AWS costs by up to $100,000 per month after replacing reactive cost reviews with real-time visibility enabled by Datadog.