Shifts in how CX operates: –Shift from predefined, linear paths to real-time steering that adapts dynamically as individuals evaluate, hesitate, compare or change direction. –AI continuously interprets decision signals (stalling, backtracking, comparison depth, option overload, repeated errors and individual context) to design how the journey adapts next. –Dynamically reorder steps, content, choice sets and assistance in real time to match individual decision-making. –Shift journey design from static maps to adaptive rules, pathways and intervention logic. Organizational changes observed: –Transition from channel- or campaign-specific ownership to end-to-end journey governance. –Establish shared journey logic across digital, assisted and human touchpoints. –Redefine CX roles to focus on adaptive rules, thresholds and decision patterns. –Deploy real-time orchestration layers that can modify journeys mid-stream. –Align incentives around journey completion and momentum rather than performance. Early vs advanced adopters: –Early: Apply real-time nudges or assistance at selected high-friction moments. –Advanced: Run journeys as continuously adaptive processes, dynamically steering each individual’s path based on real-time decision signals.1.2 From static journeys to dynamic, real-time orchestration tailored to every customer CASE STUDY 2 Continuous customer profiling and adaptive engagement Rabobank uses its Customer Decision Hub to unify customer profiles and continuously adapt engagement across app, web, online banking and call-centre channels. The AI engine aggregates behavioural and interaction data in real time to deliver next-best actions tailored to evolving customer needs, enabling over 1.5 billion personalized interactions per year, a fourfold increase in click-through rates, a 208% lift in conversion, a 4.7% increase in customer lifetime value and a 2.4% reduction in cost to serve.9 Organizational Transformation in the Age of AI: How Organizations Maximize AI’s Potential 10

Organizational Transformation in the Age of AI How Organizations Maximize AI%27s Potential 2026