AI projects often fail not because of the technology, but because of misalignment with strategy, poor data foundations, and low organisational readiness. To succeed, IT leaders must shift focus from hype to value, build robust data ecosystems, and foster cross-business collaboration.
Boards and executives must ask targeted questions to bridge their AI knowledge gap, ensuring responsible adoption and effective governance.
Robodebt shows the need for governance to assess a project’s fitness for purpose, not just its budget and timelines.
AI is being progressively adopted in Human Resources functions, with or without organisational awareness. CIOs need to partner with their HR peers to ensure a disciplined approach to solution selection, implementation, and oversight.
Robust AI governance is a strategic necessity to navigate new risks, ensure compliance, and build stakeholder trust in an AI-driven landscape.
As AI is progressively being adopted across every industry, organisations need to be more transparent with their stakeholders on how they collect, process and protect their private information.
As AI is progressively being adopted across every industry, organisations need to implement an AI Safe Use Policy as a first step to governing the adoption of the technology and mitigate its unique risks.
Australian organisations and Government agencies are continually letting us know that they are being asked to reduce costs and are expecting smaller budgets in 2025/2026. Organisations need to take a more strategic approach to cost reduction to ensure that overtime they are optimising IT Costs, not just merely reacting to reduced budgets.
Implementing an HCM system represents a complex undertaking that extends well beyond technical deployment. Organisations that approach implementation with a comprehensive understanding of potential challenges – from early planning through risk management – position themselves for success.
