Observable AI: How Engineering Leaders Make AI Investments Pay Off

A fireside chat for engineering leaders navigating AI adoption and the teams under pressure to make it all work.

What We Cover:

Why observability is the most overlooked risk in AI adoption and what happens when you skip it
How to use metrics to prove whether AI is actually improving outcomes
What organizations get wrong when AI tools stall after rollout
How observability gives you visibility into your AI spend before costs outpace results

Who This Is For:

Senior technology and business leaders. CTOs, VPs of Engineering, Directors of IT, and the executives accountable for making AI investments pay off.

Your Hosts

Stephen Koza - CEO, EverOps

Stephen leads EverOps, the cloud services partner trusted by high-growth engineering teams to ship faster, reduce risk, and optimize cloud spend

Joseph Angeja - Sr Delivery Director for Observability, EverOps

Joe’s expertise spans network engineering, cloud & automation, and IT leadership. He brings operational discipline from senior engineering roles and six years in the United States Marine Corps.

Read our latest research: The Infrastructure Imperative: Why Enterprise AI Success Depends on Platform Foundations. It’s a data-backed look at why most AI projects stall, and what the organizations succeeding with AI are doing differently.

Have questions? Email us at Sales@EverOps.com