Enterprise AI Sydney schedule

In this 10-minute networking session, the goal is to connect with three new people. Let the questions on the screen spark your conversation. Enjoy the opportunity to expand your network!

AI is moving faster than any technology shift most of us have lived through. Not long ago, AI agents could handle tasks that took a person a few minutes. Now they work autonomously for hours, and the cost of that intelligence is falling sharply every year.

Stephen draws on his experience leading operations and technology at one of Australia’s largest media groups. He’ll cut through the hype to cover what’s really working. He’ll look at what leaders should do now: work backwards from real priorities, get hands-on, and stay humble enough to revisit their assumptions often.

• AI as a growth strategy rather than a cost-reduction tool
• New products, services and revenue streams enabled by AI
• Monetising intelligence instead of automating work
• Case studies from AI-native business initiatives 

• Moving beyond pilot programs into organisation-wide AI adoption
• How work changes when AI becomes a daily collaborator
• Driving productivity, capability and employee enablement at scale
• Lessons from organisations deploying AI tools to thousands of employees

Speakers
Jonathan Shen AI Practice Executive - Strategy & Governance Suncorp
Richard Rajan Head of People Insights Governance & AI Team Global Express 

• Designing AI-enhanced customer journeys
• Personalisation at enterprise scale
• AI-powered service transformation
• Where customers want AI and where they don't 

• Which business models become obsolete?
• Which become more valuable?
• Creating new value propositions with AI
• Becoming an AI-powered business rather than an AI-enabled business

• How executive decision-making changes when intelligence is always available
• Avoiding over-reliance on AI recommendations
• Faster decisions without sacrificing quality
• New leadership behaviours for the AI era 

As AI becomes embedded in core business processes, boards are taking a greater interest in governance, accountability and risk. But how involved should they be? This debate will explore whether stronger board oversight is essential for responsible AI adoption, or whether excessive governance risks slowing innovation and limiting business value.

Position For: Boards should play a more active role in governing AI across the enterprise.

Position Against: AI governance should remain primarily the responsibility of management, not the board.

• What distinguishes AI leaders from AI followers?
• Structural changes required to scale adoption
• Embedding AI into operating rhythms
• Organisational design for continuous AI innovation 

• Why most AI initiatives stall at “good enough” and how focusing deeply on a few high-impact projects unlocks real, measurable business value
• How consistent delivery, not hype, builds trust in AI, driving executive buy-in, user adoption, and long-term organisational belief
• What it takes to move from AI experimentation to true enterprise impact, where use cases transform operations, revenue, and workforce structures