Australian organisations are charging ahead with ambitious plans to transform customer experience (CX) through artificial intelligence, but a lack of internal capability is emerging as a critical barrier to near-term success.
New research commissioned by Kytec and conducted by strategic advisory firm Nature, surveying 306 Australian professionals across CX, CRM and AI functions, paints a picture of an industry caught between confidence and reality.
On paper, the momentum is undeniable. 85% of organisations either have or are actively developing clear AI strategies for customer experience, while 69% are preparing to increase CX technology budgets in 2026.
Confidence levels are equally high—58% of respondents believe they will successfully achieve their AI ambitions, and 78% expect AI systems to deliver accurate and reliable outcomes.
But beneath the optimism lies a widening execution gap.
Nearly half (49%) of organisations remain in the early stages of AI maturity, highlighting how far many still have to go before realising meaningful returns.
Even more telling, just 16% have achieved a unified view of the customer—a foundational requirement for delivering the seamless, personalised experiences AI promises.
Workforce readiness is another weak point. Only one in five employees believe their organisation is truly prepared for increased AI adoption, raising concerns that investment may be outpacing internal capability.
The result is a growing disconnect: while AI is rapidly becoming central to CX strategy, many businesses lack the operational depth to turn ambition into impact.
With investment set to accelerate over the next 12 months, the pressure is now on Australian organisations to close the capability gap—or risk seeing their AI-driven customer experience goals stall before they truly begin.
“We are seeing – and the research supports this – strong demand for AI-based productivity capabilities that assist human agents supporting their customers,” said David Okulicz, CEO of Kytec.
“However, the implementation of true agentic AI capabilities is still very limited, and that’s where the major benefits will ultimately be unlocked,”
“Unfortunately, many organisations are still caught up in building the foundational elements required to reach their AI ambitions,”
“Our view is that more focus should go into implementing possible use cases now, while the foundations for more advanced capabilities continue to be developed.” he said.
Australian businesses are prioritising speed and cost savings over customer experience transformation as they ramp up investment in artificial intelligence, according to new survey findings.
While 46% of organisations cite improved service quality and consistency as a key driver for AI adoption, that ambition is being overtaken by more immediate operational pressures.
A clear majority — 56% — say speed and efficiency are their top priorities, with nearly half (49 per cent) focused on reducing operational costs.
The data suggests AI is still being treated largely as a productivity tool rather than a strategic lever for customer experience.
Many organisations are deploying the technology to cut call handling times and optimise internal metrics, with revenue growth and brand differentiation taking a back seat. Just 31% of respondents identified deeper personalisation as a priority.
However, the shift from planning to execution is exposing a significant readiness gap within the workforce. Employee sentiment remains cautious, with more than 60% expressing concern about the growing role of AI in their jobs.
Confidence in organisational capability is also low, with only one in four workers saying they feel their company is well-equipped to fully leverage AI in customer experience.
Preparedness levels paint an equally mixed picture. Only 20% of employees believe their workforce is highly ready for increased AI adoption, while a similar proportion say their organisations are not prepared at all.
Concerns around trust and brand impact are also emerging as key barriers. More than half of employees (51 per cent) worry that AI could erode customer trust, while 41% fear potential damage to brand reputation.
A lack of clear communication appears to be compounding the issue. Just over a third of businesses have shared their AI strategies internally or updated job roles to reflect the technology’s growing influence.
Despite 44% of organisations identifying employee readiness as the biggest obstacle to scaling AI, fewer than half are currently investing in formal training — highlighting a disconnect that could slow progress in the months ahead.
“Within CX – particularly in the contact centre – CCaaS platforms already have the capability to deliver agentic AI ‘out of the box’.
“The key is identifying and building the right use cases to take advantage of it,” said David Okulicz, CEO of Kytec.
“Not every use case will be ready immediately due to challenges around data unification and integration. However, organisations should focus on simpler use cases first,”
“These can help drive progress on data unification while also building confidence in AI and the capabilities of their teams,”
“Ultimately, success will depend on execution rather than aspiration. The challenge now isn’t ambition – it’s identifying the right use cases that will drive the integration and readiness activities needed to scale.” he said.
