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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(中译版)(22页).pdf

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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

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1. **99%**的欧洲企业面临在客户体验(CX)中扩展AI的压力,主要源于客户期望(63%)和竞争压力(58%),但**59%**快速扩展AI的企业中仅**39%**能确保合规同步。 2. **信任是AI扩展的核心限制**:**72%**认为员工信任加速AI采用,**71%**认为客户意愿同样关键;客户信任主要依赖AI准确性(**70%**)和透明度(**57%**)。 3. **治理滞后**:仅**38%**企业有明确的AI治理框架,**54%**认为监管带来更多困惑而非清晰,且**40%**尚未完全实施人工监督机制。 4. **外部伙伴依赖**:**71%**认为外部AI供应商加速采用,**66%**更信任其合规能力,但**40%**难以评估内外部AI工具的合规风险。 5. **未来关键**:需平衡速度与治理,通过共享智能(如客户交互数据)确保AI在多语言、多监管环境下可扩展且可信。
AI如何加速? 信任如何建立? 合规如何跟上?
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