CIO Vision Sydney 2026

Registration & Coffee

Welcome & Introductions

The Vision Talk

Panel Discussion: When Does AI Investment Actually Pay Off?

Every senior leader is under pressure to show that AI spend translates to business value, but the path from investment to measurable outcomes is rarely linear. This panel brings together executives to share unfiltered perspectives on how they are defining, measuring, and communicating success for AI at the enterprise level, holding their organizations accountable to results, and making the tough call on when to double down, pivot, or walk away. From navigating board expectations and financial scrutiny to recalibrating strategy when pilots don't deliver, panelists will discuss what it genuinely takes to turn AI ambition into sustained competitive advantage. This is not a conversation about technology. It is about leadership, accountability, and the strategic choices that separate AI leaders from AI laggards.

Awards

Coffee & Networking

Panel Discussion: Transforming Enterprises with AI - The Success Stories

As AI adoption expands from experimentation to enterprise-level implementation, understanding sector-spanning success stories becomes essential. This panel will explore how AI drives operational efficiency, smarter decision-making, and personalised experiences at scale. Leaders will discuss methods to align AI initiatives with business goals and address pressing issues around ethics, governance, and workforce adaptation. Panelists will examine methods for turning AI insights into actionable strategies that impact business performance.

Panel Discussion: Agentic AI and the Future of Enterprise Growth

The future of enterprise growth is closely tied to the adoption of agentic AI, which offers capabilities far beyond traditional AI by enabling autonomous execution. This panel will examine how agentic AI enables continuous improvement in business processes, drives competitive differentiation through faster innovation cycles, and supports customer experiences. Leaders will discuss how to build resilient enterprise architectures that fully leverage agentic AI’s potential. They will also explore strategies for aligning AI initiatives with organisational goals, addressing ethical and governance considerations, and preparing the workforce for AI-driven transformation.

Awards

Lunch & Networking

Panel Discussion: Doing More With Less: Driving Innovation Under Tighter Budgets

Every ambitious AI roadmap eventually collides with an unglamorous truth: models are only as good as the data and infrastructure beneath them. This panel brings together enterprise tech leaders to talk candidly about the foundational work that determines whether AI initiatives scale or stall, cleaning up fragmented data, modernising legacy systems, and paying down technical debt, all while continuing to ship. Expect a practical conversation on where to invest first, how to fix the plumbing without halting progress, and why the least visible work often decides who wins with AI.

Panel Discussion: Modernizing the Foundation - Why Your AI Ambitions Live or Die on Data & Infrastructure

AI ambitions rarely come with a blank cheque. As budgets tighten and finance scrutinises every rupee, tech leaders are under pressure to keep innovating while spending smarter. This panel explores how enterprises are funding their AI bets in a constrained environment, reallocating spend, sunsetting low-value projects, and building the business case for investment when every line item is questioned. The discussion will offer real strategies for stretching resources, prioritising ruthlessly, and proving returns without waiting for the perfect budget.

Workshop: If you had to place just AI bets for the next 18 months, and defend them to your board, what would they be and why?

Because every group brings leaders from different sectors, the real value is in the discussion that gets them to those bets. As they debate, they'll be mapping thier thinking against three questions: 1. Universal priorities — which AI bets came up regardless of industry? These are the moves that appear to matter for every enterprise, and are likely the safest, highest-conviction investments. 2. Industry-specific priorities — which bets were driven by the particular realities of their sector, its regulation, margins, customers, or operating model? These reveal where context should override the "best practice" everyone else is chasing. 3. What they can borrow — which AI use case from another industry in their group could deliver real value if they brought it home? The mixed room is designed to surface ideas they'd never encounter within their own sector.

Awards

Coffee & Networking