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Australia & New Zealand lead in agentic AI adoption

Australia and New Zealand are moving faster than other regions to deploy agentic AI in customer experience operations, signalling a shift in how support teams approach automation. This regional leadership reflects both technological readiness and organisational willingness to move beyond traditional chatbots toward autonomous agents capable of handling complex, multi-step customer interactions. The momentum is driven by vendors expanding their agentic capabilities—Sprinklr's real-time action framework and emerging players like Cue raising capital specifically for AI agent deployment suggest the market is consolidating around platforms that can move beyond insight generation to autonomous execution. For teams already embedded in legacy systems like Zendesk or Freshdesk, this creates an immediate strategic question: does your current platform's roadmap include genuine agentic capabilities, or are you looking at incremental AI features that fall short of what competitors are now delivering?

The implications for CX leaders are twofold. First, early adopters in ANZ are establishing operational templates and learning curves that will become industry standard within 18 months—teams that delay agentic implementation risk inheriting best practices designed by competitors rather than shaping them internally. Second, the shift toward autonomous agents fundamentally changes staffing models and skill requirements; support teams will need to transition from handling routine queries to managing agent exceptions and complex escalations, requiring different hiring and training strategies. The broader infrastructure challenge Meta's leadership flagged—that organisations have roughly 20 months to rebuild systems for AI agents—applies equally to CX stacks, where integration between contact centre platforms, knowledge management systems, and backend tools will determine whether agentic deployments succeed or stall. Teams should audit whether their current vendor ecosystem can support autonomous handoffs and real-time decision-making, or whether fragmented tooling will become a competitive liability.