Melbourne: Beyond the Hype: The Data & Blueprint for AI ROI in 2026

**In-person event!** ## **The Reality Check** 90% of organisations are seeing some value from AI, but there is a massive gap between the “experimenters” and the “performers.” Most are stuck in Pilot Purgatory—burning through budgets while boards demand proof of return. *** ## **The Session** We’ve bought out from the United States, **Laks Srinivasan** (CEO, Return on AI Institute) to share with our market the global research the Institute has undertaken and published in Harvard Business Review along with the great AI Native offering for Enterprises from AI-Native by Scaled Agile. 1. **The Research:** Laks Srinivasan (CEO, Return on AI Institute) breaks down a global study of 1,000+ executives. He’ll share the “Value Gap” data—revealing exactly what distinguishes organizations winning with AI from those just spending money. 2. **The Blueprint:** We’ll dive into the Scaled Agile AI-Native system. This isn’t just about tools; it’s about the [AI-Native Foundations](https://prettyagile.com.au/course/ai-native-foundations) and [Change Agent](https://prettyagile.com.au/course/ai-native-change-agent) and [Leading the AI-Native Organisation](https://prettyagile.com.au/course/ai-native-leader). Frameworks that rewire how teams work, from prompt fluency to enterprise-scale workflows and how Executives lead AI Native Enterprises. *** ## **The Mix** **5:00 pm Welcome drinks + nibbles** **5:30 pm Data & Strategy:** * Laks presents the Harvard Business Review global research featured findings and the AI Money Map. **6:00 pm Group Jam** * A facilitated “unfiltered” discussion. We’ll explore how to move from scattered AI insights to an executable, AI-Native strategy. **6:30 pm Mingle with drinks + nibbles** *** ## **What’s in it for you?** * **Executives:** Get the metrics and “Board-ready” data to justify AI spend. * **Leads/Agilists:** See the AI-Native Change Agent roadmap to scale AI beyond small pilots. * **Engineers/PMs & Teams:** Learn how to redesign workflows to be “AI-First” without losing agility with AI-Native Foundations.