Delivering real customer value in the era of AI-powered customer experience requires a new mindset: a move from pilots, experimentation and incremental improvement to a commitment to scaled, end to end, AI-driven transformation.

To make this a reality, customer focused organisations need to invest in strong data, technology and governance foundations, treat AI as an enterprise-wide orchestration layer, redefine success through both outcomes and trust, and design intentionally for human-AI collaboration.

This shift calls for a rethink of technology, operating models, measurement frameworks, and the role of people in delivering customer value where it matters most.

Similar thinking resonated throughout this year’s Adobe Summit in Sydney. In the Australia-New Zealand market, the stakes are high; AI is not THE answer, it is part of the answer. As Gerrit Walters, Head of Design, Digital Experience and Performance for Qantas, put it succinctly at the Summit:

“Being mentioned by an LLM gets you in the game, but it doesn’t mean you win the game.”

Recent research from Capgemini, Reimagining customer experience: human-led, AI-powered, also reflects this, finding that while customer experience is now a primary driver of growth, many organisations still struggle to deliver seamless, trusted and emotionally resonant experiences at scale.

From digital transformation to AI-powered transformation 

Over the past decade, driven by changing customer expectations and more recently, by the digital acceleration turbocharged by COVID – Australian and New Zealand organisations have made significant progress in digital transformation. 

Now, we are seeing the next shift is well underway. AI isn’t just enhancing experience; it is reshaping how it is designed, delivered and measured, with interactions becoming more outcome driven, journeys more orchestrated and employees more focused on defining intent and guiding AI rather than on task execution. 

This creates a new design challenge for CX leaders, where the question isn’t just:  

How do we prioritise and build a multi-wave journey towards automated personalisation?

But instead: 

How do we build experiences for a world where customers engage through a combination of human interaction and AI intermediaries which are increasingly intelligent and embedded across the journey? 

The shift to outcome-driven CX 

One of the most significant changes we are seeing, reflected at the Adobe Summit, in Capgemini’s research, and in conversations with clients, is how success is measured.

Traditional metrics such as NPS and CSAT are being supplemented, and in some cases replaced, by outcome-based measures like resolution rates, speed to resolution, AI-driven recommendations, cost per interaction and productivity gains. This reflects a deliberate shift toward efficiency, scale, relevance and predictability.

But this shift introduces a tension. As organisations optimise for outcomes, experiences risk becoming overly transactional. Capgemini’s research highlights a persistent gap between executive perception and customer reality, particularly when it comes to trust and emotional connection.

Trust, regulation and the reality for Australasian organisations 

This tension is particularly relevant in Australia and New Zealand, where expectations are shaped by global digital leaders but delivered within more complex regulatory environments. Nowhere is this more visible than in the Financial Services industry, particularly in the insurance and superannuation sectors. 

Regulation, particularly APRA oversight in Australia, has played a central role in shaping CX transformation, and, in many cases, it has been a catalyst for change. Superannuation providers, for example, have had to become customer-facing brands, while consolidation has increased the need for unified and scalable experiences. 

Regulation also raises the bar for AI adoption. Organisations can’t simply deploy AI and iterate; control, transparency and accountability must be inbuilt from the outset.  

In practice, this shifts the model from build fast and iterate to:  

Design responsibly, prove safety and then deploy with confidence.

The rise of agentic CX and orchestration

A key theme at the Adobe Summit was the rise of agentic AI and orchestration – with Adobe announcing CX Enterprise, Co-worker, Agent Orchestrator, Brand Intelligence, Engagement Intelligence and CX Analytics.

Organisations are moving away from fragmented tools in favour of integrated platforms that coordinate multiple AI agents, connect workflows and enable outcomes across Marketing, Sales and Service. Capabilities like Adobe’s CX Orchestrator signal a future where experiences are no longer channel-based but dynamically composed in real time.

This shift extends beyond technology. Teams are becoming smaller and more outcome-focused, and employees increasingly work alongside AI defining intent, prompting actions and validating outputs through shared interfaces rather than operating within siloed systems.

This points to a broader evolution – a world where CX is no longer delivered by individual functions, but orchestrated, as one, across an enterprise. 

The human dimension: avoiding “bot fatigue”

As AI scales, a new risk emerges: “bot fatigue”. Customers quickly recognise when they are interacting with AI, and prolonged or poorly designed interactions will invariably erode trust. In complex or emotionally sensitive scenarios, such as financial hardship, claims or major financial decisions, automation alone isn’t enough.

This reinforces a core principle: the goal is not to remove humans from the experience, but to be intentional about where humans can add the greatest value for the customer.

CX-leading organisations are designing hybrid models, using AI to handle high volume tasks while preserving human interaction where judgement, reassurance and trust matter most.

A new mindset for AI-led transformation – considerations for Australian and New Zealand CX leaders 

As organisations move from pilots to scaled deployment, incremental change isn’t enough.

Some key considerations for organisations embracing an AI-led CX transformation mindset: 

  • Invest in foundations first. Data, headless systems and features, governance and architecture must be prerequisites, never afterthoughts.
  • Treat AI as a strategic layer or platform across the organisation, rather than a collection of isolated use cases. The focus should move from individual applications to how AI orchestrates end to end journeys. 
  • Redefine “success”. Outcome based metrics are essential, but must be balanced with measures of trust, perception and long-term engagement. 
     
  • Design explicitly for human–AI collaboration, clearly defining where automation improves experience and where human interaction remains critical.
  • Consider your organisation’s operating models. AI depends on access to data, workflows, and actions, so interoperability becomes essential. Without it, organisations will struggle to scale beyond pilots.
  • Be deliberate about how your organisation’s AI capabilities are sourced. Whether building internally or leveraging enterprise platforms, the trade-offs remain consistent: speed, control, cost and scalability.  
  • With tokens becoming the new currency, organisations must also consider the economics of AI – not just the upfront implementation cost, but ongoing operating costs, with human effort offset by token-based consumption. 

Together, these changes will redefine how customer value is created and delivered. 

Call to action 

The shift to human-led, AI-powered CX is happening now – and for organisations across Australia and New Zealand, the opportunity to combine strong regulatory foundations, deep customer understanding and grow AI investment to create more responsive and meaningful experiences is significant.

At the Adobe Summit, the key question I posed – and I continue to encourage every client and leader to reflect on – is:

𝘞𝘩𝘦𝘳𝘦 𝘤𝘰𝘶𝘭𝘥 𝘢𝘨𝘦𝘯𝘵𝘪𝘤 𝘈𝘐 𝘤𝘳𝘦𝘢𝘵𝘦 𝘵𝘩𝘦 𝘮𝘰𝘴𝘵 𝘷𝘢𝘭𝘶𝘦 𝘪𝘯 𝘺𝘰𝘶𝘳 𝘤𝘶𝘴𝘵𝘰𝘮𝘦𝘳 𝘫𝘰𝘶𝘳𝘯𝘦𝘺 𝘵𝘰𝘥𝘢𝘺 – a𝘯𝘥 𝘸𝘩𝘢𝘵’𝘴 𝘩𝘰𝘭𝘥𝘪𝘯𝘨 𝘺𝘰𝘶 𝘣𝘢𝘤𝘬 𝘧𝘳𝘰𝘮 𝘳𝘦𝘢𝘭𝘪s𝘪𝘯𝘨 𝘪𝘵?