đ EPISODE 100 MILESTONE! đ
Welcome to The King Dems Podcast and what better way to celebrate our 100th episode than with one of the worldâs most visionary service transformation leaders, Johann Diaz, aka the Customer Service Revolutionizer.
With over 35 years of executive and consulting experience across global giants like BP, Vodafone, Diageo, and Unilever, Johann brings unmatched insight into how AI, empathy, and service excellence are reshaping the business world.
In this powerful and transformational episode, we explore:
đ§ Why AI is not the future; it's the NOW, and how it must be used carefully to support, not replace, human service
đ§ The difference between customer experience and customer service (and why most companies get it wrong)
đĽ How to future-proof your business in the Experience Economy by aligning automation with human touchpoints
đź The truth behind mass layoffs: AI or Recession?
đĄ Why startups and SMEs must adopt AI-first strategies or risk extinction
đ How Johannâs Service Revolutionizer Framework empowers scaleups to boost revenue, retention, and customer satisfaction
đŁď¸ Johann also shares personal stories; from turning down VC millions to support his family, to creating scalable solutions that democratize premium consulting for growing businesses.
đ KEY TAKEAWAYS
âGreat service starts with great peopleâ
âDonât impose tech; co-design with your customerâ
âService begins before the sale, not afterâ
âAI doesnât remove jobsâit redistributes focus to what matters: relationships and valueâ
â Donât forget to LIKE, COMMENT & SUBSCRIBE
đŹ Tell us: Whatâs one thing youâll do differently in your business after listening to this?
đ§ Stream the full episode on all platforms
đ Visit www.service-revolution.com to access Johannâs free webinar and toolkit
đŁ Share this with every leader who still thinks service is just a department!
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Chapters:
00:00 AI as an Assistant in Service Delivery
01:12 New Chapter
43:50 The Importance of Customer-Centric AI
53:59 Balancing Automation and Human Touch
01:04:00 Myths and Mistakes in AI Adoption