CallMiner：2026欧洲客户体验领域 AI 规模化落地洞察报告：在 AI 落地进程中平衡落地效率、治理规范与用户信任（英文版）（22页）.pdf

1、Scaling AI in European CXBalancing speed,governance and trust in AI adoption1Table of ContentsForewordIntroductionKey FindingsSection 1:AI is scaling faster than governanceSection 2:Trust defines the limits of scaling AISection 3:Regulations are shaping AI but also slowing executionSection 4:Organis

2、ations are looking for AI partnersImplications:What organisations need to scale AI with confidenceConclusion:The future of AI in CX depends on intelligence and trustResearch Methodology2334712161920202European organisations face a unique challenge.They are scaling AI in an environment shaped by ever

3、-changing regulations,multiple languages,diverse customer needs and growing expectations around transparency,fairness and accountability.Organisations are now focused on how AI can be scaled while maintaining the trust of customers,employees and their governance teams.This is why trust has become su

4、ch an important part of the AI conversation.Trust is what gives organisations the confidence to expand AI into more customer interactions and business decisions and processes.Trust has a direct impact on the adoption and value of AI.It gives organisations the confidence to scale AI responsibly while

5、 maintaining control over risk.In an increasingly complex environment,governance is becoming a key factor in helping organisations scale AI with confidence.It provides the visibility and accountability needed to balance innovation with control.Customer experience(CX)leaders across Europe are being a

6、sked to do more than ever before.They need to improve efficiency,meet rising customer expectations and accelerate artificial intelligence(AI)adoption,all while maintaining trust,compliance and control.At the same time,new AI capabilities also continue to emerge at a remarkable speed,creating fresh o