As AI, automation and predictive intelligence reshape how people discover, evaluate and engage with products and services, organisations are racing to create value before customers ask for it.
Yet too many organisations are in pursuit of anticipatory AI before they have the right foundations for success. At AI’s peak ‘magpie moment’, leaders focus on the sparkle, not the signal – the shiny front-end rather than the overall experience.
“The front office, middle office, back office: customers don’t see any of that,” says Damian Stirrett, group vice president and general manager UK & Ireland at ServiceNow. “They see one journey. And that journey is only as strong as its weakest link.”
With that in mind, the following priorities are emerging as the foundations of this shift.
1. Build unified data foundations
Many CX programmes fail because redesigned journeys depend on back-end systems that cannot support them. Without reliable, connected data, organisations risk creating experiences that look good in theory but break down in practice.
“Unified data is the foundation everything else is built on,” says Stirrett. “You can’t fix what you can’t see, and without connected, reliable data, journey redesign is just guesswork.”
The temptation is to focus on new features and AI-enabled experiences. But research from PA Consulting shows that dependable delivery and reliability are more important than innovation. If information is inconsistent across channels, or if employees cannot access the right information at the right time, even the most sophisticated experience quickly loses credibility.
Nicky Cox, chief customer officer at cloud accounting software provider Iplicit, agrees that “AI is only as good as the data it feeds on,” but warns that perfection shouldn’t be the enemy of progress. “Accept that and get going,” he adds.
2. Use predictive intelligence to prioritise the moments that matter
“Customers increasingly expect organisations to anticipate their needs, surface issues before they escalate, and act in real time,” says Stirrett.
But as CX shifts from reactive service to predictive engagement, one risk is that organisations try to predict too much.
The greater opportunity lies in anticipating and serving the touchpoints that deliver the most value. Think of where a bank can protect against financial harm or abuse; or where a citizen can be helped to navigate the system after the loss of a loved one.
Predictive intelligence allows organisations to focus on moments that matter. By combining historical behaviour, real-time signals and contextual insight, organisations can pinpoint emerging needs earlier, resolve issues before they become problems and guide customers towards better outcomes.
3. Design for trust
Discovery experiences are increasingly shaped by AI, automation and digital assistants as customers rely on technology to search, compare and make decisions on their behalf.
But if AI systems, service teams and digital channels draw on different data or deliver conflicting outcomes, confidence can erode quickly. Consequently, organisations must ensure that governance, data and experience design work together to create interactions that customers can understand, rely on and return to.
“Organisations need to ensure that AI operates within clear guardrails, with transparency, accountability and strong governance built in from the outset,” says Stirrett. “But just as importantly, AI needs to be grounded in the same unified data and workflows as human teams.
“That’s what ensures consistency, so whether an experience is human-led or AI-led, the outcome feels seamless and reliable.”
4. Measure experience as a strategic outcome
Leading organisations are moving beyond traditional satisfaction scores and linking CX directly to business value. Reduced cost to serve, faster resolution times, higher retention and greater customer lifetime value all provide a clearer view of whether experience investments are creating meaningful outcomes.
“That’s what elevates CX from a functional metric to a strategic growth driver,” says Stirrett.
The strongest signals may be those that show customers are willing to attach their reputation to the brand. For Cox, the clearest evidence are “referrals, testimonials and customers putting their name on the line to recommend you.”
Ultimately, the most valuable measures are those that connect experience to outcomes such as growth, loyalty, and retention. When experience metrics are treated as business metrics, rather than service metrics, organisations are far better placed to make smarter investment decisions.
Foundations for the future
Future CX success will depend on whether organisations can connect teams, data, workflows, and decision-making in ways that help customers achieve their goals with less effort.
The organisations that succeed will combine strong foundations with intelligent technology to create experiences that are not just faster and more personalised, but consistently dependable and anticipatory. Ultimately, the shift is from managing journeys to delivering outcomes.
As AI, automation and predictive intelligence reshape how people discover, evaluate and engage with products and services, organisations are racing to create value before customers ask for it.
Yet too many organisations are in pursuit of anticipatory AI before they have the right foundations for success. At AI’s peak ‘magpie moment’, leaders focus on the sparkle, not the signal – the shiny front-end rather than the overall experience.
“The front office, middle office, back office: customers don’t see any of that,” says Damian Stirrett, group vice president and general manager UK & Ireland at ServiceNow. “They see one journey. And that journey is only as strong as its weakest link.”
