Navigating data and AI challenges for a meaningful CX

Executing this well, however, requires a clear line of sight into what's working and what’s not. You can't improve what you don't measure, hence NPS and CSAT have become powerful growth engines when used to decode customer preferences, sharpen decision-making, and continuously evolve the experience. The goal isn't just a better score. It's deeper loyalty, greater value, and a customer relationship that gets stronger with every interaction.

Knowing what to improve, however, is only as powerful as your ability to act on it — and that ability banks on the quality of your data. Ask any customer experience leader what stands between their organization and truly exceptional CX, and the answer is almost always the same: data. A recent global survey of customer experience leaders commissioned by Orange Business confirms it. The survey findings reveal problems of poor quality, fragmented, and outdated data, or that data is trapped in silos and isn’t flowing properly through the organization, hampering the ability to deliver true omnichannel experiences. 

The old assumption that data silos are simply the byproduct of operating across different domains no longer holds. The real barrier isn't where data lives — it's the failure to unify it. Break down those silos, and a single, intelligent platform emerges — one that arms frontline staff with deep customer intelligence and gives AI systems the complete, end-to-end view of the customer journey they need to perform at their best. 

And when AI agents are unleashed on a robust, unified platform, they don't just match human capability — they transcend it — processing and acting on volumes of data at a speed and scale no human team could ever replicate.

By 2030, it is estimated that 10% of Fortune 500 firms will double customer service spending in order to use AI for hyper-personalized, proactive experiences, and the competitive advantage (Source: Gartner Predicts GenAI Cost Per Resolution for Customer Service Will Exceed Offshore Human Agent Costs by 2030). In fact, one recent study found that 96% of global contact center and customer experience leaders view AI implementation, including GenAI and agentic AI, as a key strategy. (Source: https://callminer.com/news/press-releases/callminer-survey-96-of-cx-organizations-view-ai-as-a-key-strategy-but-governance-structures-lag). 

Something fundamental is changing in how organizations think about customer interaction. The question is no longer whether AI belongs in the conversation — it's whether AI leads it. Increasingly, the answer is yes. AI-first is becoming the operating model of choice, with every customer touchpoint passing through an AI layer before a human ever steps in.

And yet, for all the conviction, execution is lagging far behind. The numbers are striking: 95% of CIOs believe in the power of GenAI, yet only 19% of organizations are actively working on it — and a sobering 6% have truly scaled their initiatives, according to research from BCG, Gartner, IDC, and CapGemini. Belief without industrialization is just potential left on the table.

The good news? That gap is an opportunity. As customers increasingly expect service that is proactive, personalized, and frictionless, the organizations willing to act — not just believe — will create a distance their competitors will struggle to close. The path forward isn't about chasing full automation at any cost. 

It's about prioritizing use cases and deploying AI where it moves the needle most: elevating the agents customers speak to, enabling self-service that actually works, and eliminating the operational drag that quietly erodes experience. 

The organizations that get this right won't just reduce costs — they will drive deeper loyalty, accelerate growth, and define what customer experience looks like in the decade ahead."

In APAC, customer experience covers the following priorities, although it’s not limited to just these: 

• Personalized Experiences - Tailoring services and solutions to meet the diverse customer preferences across APAC markets. The best customer service is pre-emptive and knowing what customers actually want.
• Omnichannel Engagement - Ensuring seamless customer experiences across multiple channels (phone, email, chat, social media, physical).
• Local Market Adaptation - Customizing customer experience strategies to align with cultural and regional differences within the region.
• Customer-Centric Culture - Fostering a mindset across teams to prioritize customer needs and satisfaction.

If the above expectations can be suitably met and impressed upon customers where AI and data is weaved into the customer experience storyboard from the start, an organization is likely to experience increased contact resolution that may boost retention, reduced customer churn rate (discontinuation of services over a specific period) with better detection of ‘at-risk’ customers, and decreased contact handling time as a sign of improved agent effectiveness.

In a marketplace defined by rapid change and rising customer expectations, the ability to deliver seamless, personalized experiences across every touchpoint today is more vital than ever. At this critical juncture, the integration of advanced AI capabilities into the customer journey can help organizations to break down silos, foster agility, and create truly unified experiences that drive satisfaction and loyalty.​

It's imperative to seek a service provider and operator that will help you integrate the solutions that are the best fit with your business goals and drive an end-to-end orchestration with your human agents, processes and enterprise systems like CRM, and ultimately, trusted technology, that is, having AI and data power up possibilities to better support and sustain elevated customer experiences at scale.

Connect with us today to explore how AI and data-led customer experiences strategies can accelerate your real-world project, from mere vision to industrialization – whether in analyzing your real-time customer data, personalizing interactions, predicting future needs, and helping to automate journeys across all channels.