The Third Wave of CX Leverages GenAI and Human Expertise

A Veteran in Customer Experience Innovation We welcome Mark Honeycutt to this week’s episode of the Digitally Irresistible podcast. Mark has enjoyed a distinguished career, marked by significant contributions to the fields of technology, retail, and service. With over 25 years of experience, he has built a solid reputation for creating exceptional customer experiences at iconic brands such as Amazon and Microsoft. Mark has been involved in three major waves of customer care evolution. In the late 1990s and early 2000s, he was at the forefront of leveraging third-party companies, known as business process outsourcing (BPO) providers, to deliver customer experience solutions. Following this, he played a pivotal role during the offshoring wave, where customer care operations were relocated to different parts of the world to optimize costs and efficiency. In this episode, we delve into Mark's expertise and explore the best practices for integrating automation in customer support to enhance the overall customer experience. Join us as we uncover the dynamics of this third wave with one of its most seasoned pioneers. Embracing the Third Wave of Customer Care and the Impact of Generative AI and Conversational Technologies Mark identifies the current era as the "third wave" of customer care, driven by advancements in generative AI and enhanced conversational capabilities. This wave marks a significant shift toward a “tech first” engagement approach, revolutionizing how companies interact with their customers. As technology continues to evolve, it brings both opportunities and challenges, requiring a strategic balance between automation and human touch. Despite these technological advancements, one fundamental aspect remains constant: customer expectations. Customers still prioritize having their issues resolved quickly and efficiently while being treated with respect. This unchanging need underscores the importance of designing customer care solutions that meet these timeless expectations, regardless of the technological tools employed. Leveraging Technology for Better Customer Engagement The introduction of generative AI and advanced workflows enables two primary approaches: bots and agent assistance. Bots aim to handle customer engagements entirely through automation, providing swift and consistent responses. On the other hand, agent assistance focuses on reducing the cognitive load on human agents, improving their efficiency and compliance during customer interactions. This hybrid approach augments operational efficiency and ensures complex issues are seamlessly transitioned to human agents when necessary. Rethinking customer engagement with a technology-first approach involves meticulous planning and workflow design. Key considerations include determining when to involve human agents and which technologies to implement. Companies must strike a balance between automation and human intervention, minimizing customer friction while maximizing the benefits of both bots and human agents. Measuring customer satisfaction across these different touchpoints is crucial to refining and optimizing the customer experience. While technology will play a more direct role in customer interactions, human agents will continue to be an integral part of the equation. Augmented by AI, agents will be better equipped to handle complex issues, offering a higher quality of service. The integration of AI in every customer contact is imminent, making it essential for companies to plan and implement these technologies thoughtfully. Characterized by the integration of generative AI and advanced conversational AI technologies , the third wave of customer care presents exciting opportunities for enhancing customer engagement. By thoughtfully implementing these technologies and maintaining a focus on core customer expectations, companies can navigate this transformation effectively. Aligning Metrics and Strengthening Customer Satisfaction With Technology-First Approaches One of the key themes Mark emphasizes is the importance of maintaining consistency in metrics between technology solutions and agent-assisted support. While the terminology may differ, the core objectives remain the same: ensuring a seamless workflow and unified measurement system across both types of interactions. Issue resolution from the customer's perspective is paramount. A common mistake some companies make is relying too heavily on customer behavior metrics as their primary customer satisfaction (CSAT) measure, which can leave blind spots. Instead, a straightforward approach should be maintained: whether the care is provided through a bot or a live agent, the primary goal is to resolve the customer's issue quickly and efficiently. Key Metrics for Agent Assist Tools When implementing AI-driven support systems, several metrics are crucial for assessing ...