FEATURE
Many organisations don’ t lack technology; they lack a way to bring together complex, multi-vendor environments into a single, reliable operational view.
This becomes even more relevant as AI moves from pilots to practical deployment. Across Australia, there is a clear shift underway, from broad AI ambition to a much stronger focus on implementation. Organisations are now thinking more seriously about how AI operates within existing environments and how it is governed.
In IT operations, AI is already delivering tangible benefits. It can identify patterns across vast datasets, predict potential issues before they escalate and recommend actions in real time. Used well, this has the potential to significantly improve resilience and reduce operational risk.
I’ ve seen this challenge play out consistently in conversations with Australian organisations.
However, the introduction of AI also raises important questions, particularly in missioncritical environments: How are decisions made; how are they validated; and who retains accountability when something goes wrong?
This is where a humanled approach becomes essential. Organisations are increasingly looking to combine AI with human expertise, using technology to handle scale and complexity while ensuring experienced professionals remain responsible for judgement and decision-making.
In practice, this means AI operates as an enabler, not a replacement. It surfaces insights, highlights risks and suggests actions, but does so within a framework that is transparent, governed and accountable. This balance is critical in sectors where trust and reliability are non-negotiable.
Rob Kohler, Managing Director, Global Infrastructure Services, DXC APJ MEA
Models need to reflect this thinking in action. AI agents should operate alongside human experts, www. intelligentcio. com
INTELLIGENT CIO APAC
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