AI ROI: From Adoption to Business Proof

AI adoption is easy to report. Business impact is harder to prove.

Engineering leaders are under pressure to show what AI is actually changing — not just who is using it, but whether it is improving delivery, quality, developer experience, and business outcomes.

This discussion between 3 engineering leaders explores how to move beyond vanity metrics, build a practical measurement approach, and communicate AI’s value to executives and CFOs with more credibility and less hype.

What You’ll Learn:

• Which engineering metrics still matter in AI-assisted workflows
• How to connect developer experience, quality, and speed to executive priorities
• Ways to establish baselines and measure impact when adoption is already underway
• How to avoid common traps like vanity metrics, shifted bottlenecks, and burnout blind spots

If you're an engineering leader responsible for delivery performance, developer experience, and proving the value of AI investments to leadership...make sure to watch.

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