This executive roundtable explored the practical operating model required to move AI from experimentation into measurable business outcomes across decisions, operations and customer engagement.
Key themes included the foundations organisations need to operationalise AI securely and at scale, from trusted data and cloud to governance, cyber security, automation and leadership alignment.
A recurring theme from the roundtable was the distinction between personal productivity and company-wide productivity. AI can make an individual faster, but the larger opportunity comes when organisations rethink entire workflows and decide what should be handled by people, deterministic automation or AI agents.
That shift depends on more than technology. Trusted data, modern cloud platforms, governance, cyber security, intelligent automation, training and leadership alignment all need to work together as one integrated operating model.
Explore the full recap to see how organisations can move AI from experimentation into measurable business value.
Moderator, Moxie Insights
James moderated the executive discussion, drawing out the priorities, challenges and practical experiences shaping AI adoption across Australian organisations.
Chief Automation, Data and AI Officer, Tecala
Shaun Leisegang shared Tecala’s practical perspective on the technology, operating-model and leadership decisions shaping this roundtable topic.
