AI is already improving productivity, safety and customer outcomes — but results vary widely. Some deployments deliver measurable gains; others stall because the basics aren’t in place: weak data foundations, no clear owner, gaps in governance, security exposure, missing talent, hidden costs — and a failure to treat AI as operational infrastructure, not a plug-in tool.
This roundtable moves beyond “what is AI?” and focuses on what works—and what doesn’t—when organisations deploy AI responsibly at scale. Leaders from banking, mining, healthcare, government and startups will share real examples: what they shipped, what got stuck, what made it succeed, and the lessons learned the hard way.
Outcome: participants leave with a battle-tested, practitioner-and-research grounded AI delivery playbook—a clear set of steps, roles and minimum controls to move from experiments to scalable results.
[Roundtable] What Works in AI Delivery?: Successes, Failures, & Solutions that Scale
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