Getting ROI From AI Spend using the GDI Framework
Key Takeaways
Applies the GDI Framework to measure ROI from AI investments
Original Description
Most engineering teams deploy AI tools and never prove the value. This video breaks down the GDI Framework — Goal → Drivers → Indicators — a practical system for connecting your AI investment to real, measurable business outcomes.
Whether you're a VP of Engineering, an engineering manager, or a CSM trying to help customers get ROI from AI tools like GitLab Duo, this framework gives you a clear path from deployment to proof.
In this video you'll learn:
Why AI tools fail to show ROI (and how to fix it)
How to define a specific, measurable business goal
How to identify the 2–3 drivers that actually control that goal
How to choose indicators that move within 60–90 days
How to set a baseline before AI changes team behavior
How to assign ownership so metrics don't get ignored
Who this is for:
Engineering leaders, DevOps teams, Customer Success Managers, AI strategy teams, and anyone responsible for proving the value of AI in software development.
Created by Darva Satcher
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DeepCamp AI