Your board wants ROI. Your executives are making budget decisions based on AI capabilities. Your team is already using the tools. So where's the business value?

We're well past the hype cycle. The question isn't "are we using AI?" It's "what's the return?" Most organizations won't have a good answer -- because measuring AI impact when it augments rather than replaces work is genuinely hard, and most ROI frameworks weren't built for it.

This session shares the framework used to move an 800-person organization from AI-curious to AI-capable in five months. You'll walk away with the strategic decisions leaders face after adoption: what to automate versus redesign versus leave alone, how to measure impact when traditional ROI formulas fail, and how to navigate governance without killing innovation.

Takeaways:
- A decision framework for what to automate, redesign, or leave alone
- Practical approaches to measuring AI impact when augmentation makes attribution hard
- How to build governance guardrails that protect without stalling momentum

This session is for executives, technology leaders, change practitioners, and program managers who are past the "should we use AI" conversation and ready to tackle the harder question of how to prove and sustain its value.