Implementing AI in Customer Service Without Frustrating Your Customers

Описание: In this episode of The CX Equation, hosts Chantelle Casey and Mark Clydesdale are joined by Zeke Wu and Aswin Peter to discuss what it really takes to use AI for improving customer experience. Drawing on lessons from the automotive and energy domains, they share that a problem-first thinking approach beats AI hype every time. The conversation explores how trust and transparency shape AI adoption, why augmenting teams matters more than replacing them, and how small, practical use cases can scale globally, even in regulated environments.

The key takeaway: competitive advantage comes from better decisions, not just more digital tools.

What You’ll Learn:
Why "problem-first" thinking beats AI-first hype
How to implement AI without eroding customer trust
The three practical ways AI is reshaping customer service today
How to balance global AI frameworks with regional customisation
Why data integration doesn't need to be perfect before you start
How AI is reshaping customer discovery and brand visibility

Zeke Wu is a Global CRM Program Manager at Nissan Motor Corporation, specialising in AI-powered sales and customer strategy across the automotive sector. With extensive experience spanning automotive, aviation, and consulting, Zeke leads data-driven CRM initiatives that blend predictive modeling with customer insights to enhance acquisition and lifetime value.

Aswin Peter is a Senior Product Lead – Customer Experience and Product Strategy, Energy and Utilities Industry with over a decade of global experience building customer-centric, game-changing products. Analytical and data-driven, he focuses on key metrics to solve core customer problems and deliver strategic impact. An MBA graduate of the McCombs School of Business, UT Austin, Aswin has led diverse teams across energy, utilities, payments, and customer experience.

Mark Clydesdale is the Head of Strategic Consulting at Tap CXM and a customer-obsessed marketing strategist who turns messy data and competing P&Ls into clear, scalable personalisation. He’s best known for championing relevance and bringing a strategic perspective on the importance of relevance in personalisation. Having worked across sectors from telco and banking to retail and media, Mark bridges the gap between customer insight, decisioning, and real-world execution.

Chantelle Casey is a Senior Solutions Consultant at Tap CXM and a marketing operations and MarTech leader who builds the plumbing that makes personalisation work at scale. She specialises in unified customer views, decisioning, and “next-best-everything” logic. Currently, her focus is on supporting clients in transforming their business to best, optimising their customer experience, improving their agility, and developing better ways of working that are insight-driven and customer-focused.


Episode Resources:
Zeke Wu on LinkedIn:   / zhiqian-wu  
Nissan Motor Corporation Website: https://www.nissan-global.com/EN/
Aswin Peter on LinkedIn:   / aswinpeter  
Perplexity on LinkedIn:   / about  
Chantelle Casey on LinkedIn:   / chantelle-casey-b2804876  
Mark Clydesdale on LinkedIn:   / mark-clydesdale-b45a0a6b  
Tap CXM Website: https://tapcxm.com/


Highlights and Chapters:
00:00 Intro
01:52 Technology as Enabler: From Digital Transformation to AI
04:56 Three Ways AI Transforms Customer Experience Today
07:19 AI's Impact Across Industries: Automotive vs. Energy
10:05 Getting Found in the Age of AI Search
12:10 Real-World AI Use Cases That Solve Problems
17:57 Global AI Frameworks with Regional Customisation
20:00 Problem-First Thinking Beats AI-First Hype
22:01 Start with Imperfect Data, Don't Wait for Perfect
25:36 Building Trust and Transparency in AI Interactions
28:42 Balancing AI Chatbots with Seamless Human Handoffs
30:42 The Future of AI: Augmentation Over Replacement
32:18 Decision Transformation: The Real Innovation Ahead
34:05 Real AI Experiences: Helpful, Not Intrusive
38:04 Developing Teams and Problem-First Leadership
41:09 Key Takeaways: AI as Enabler, Problems as North Star