The modern Australian enterprise is being reshaped by two connected AI pillars: personal productivity and company-wide productivity.
The organisations moving ahead are no longer treating AI as a collection of isolated pilots. They are building the trusted data, cloud, governance, cyber security, automation and leadership foundations required to operationalise AI securely and at scale.
This executive roundtable will examine the practical operating model that turns AI tools and agents into measurable outcomes across decisions, operations and customer engagement.
Personal productivity tools can lift individual output, while pre-built agents and end-to-end applications can transform how work flows across the enterprise. Real value emerges when those capabilities are supported by trusted data, modern cloud platforms, intelligent automation, clear governance and security by design.
Led by Tecala Group and Moxie Insights, this roundtable will explore the foundations that distinguish organisations running pilots from those embedding AI into decisions, operations and customer engagement as one integrated operating model.
Connect with peers and invited leaders before the facilitated discussion begins.
Welcome, session context, agenda and the action points the roundtable will work towards.
Interactive discussion moderated by James Henderson, with commentary from Tecala Group and invited guests.
Final perspectives, key summaries and practical action points from the discussion.
Continue the conversation and connect with participants following the formal session.
Moderator, Moxie Insights
James will moderate 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 will share Tecala’s practical perspective on the technology, operating-model and leadership decisions shaping this roundtable topic.
Register for this executive roundtable to explore the operating model, technology foundations and leadership alignment required to move AI from pilots into measurable business performance.
