With over 30 sessions led by experts and industry leaders, attendees gain invaluable insights into the latest trends and future directions in customer and employee experience. They hear firsthand as speakers get real about their challenges, bold initiatives, and success stories.

The CX Executive Brief is exclusive only to Know It All (KIA) online community members and features 10 cutting-edge industry insights and key takeaways from global CX leaders at CRS Tucson.

1. Cultivating a Connection Culture
2. Mastering the Art of Customer Care
3. Innovating the Future of Connectivity and Collaboration
4. Leveraging Technology for Operational Efficiency and Enhanced CX
5. The Human Facets of Business: A Critical Component in Innovation
6. The Transformative Impact of AI and Innovation on CX and Training Methodologies
7. The Role of Human-Centric Approaches, Empathy, & Tech in Enhancing Employee Well-Being and Customer Loyalty
8. A Forward-Thinking Approach to Environmental Stewardship
9. Innovative Approaches in FinTech and Offshoring
10. Voice of the Customer

For those of you who are already KIA members, the full briefing is now available. Log in to the community to read and download your copy.

If you’re not yet a KIA member, now is the perfect time to join our thriving community of over 1,000 corporate end-user CX leaders. Our members exchange ideas, share insights, and explore innovative strategies to stay ahead in the industry. Click “Request to Join” to become part of this exceptional network and gain access to the exclusive CX Executive Brief.

If you are a leader or practitioner who oversees customer experience, customer care, and related operations, we invite you to join Know It All “KIA”.

While KIA is exclusive to CX Leaders, if you are a consultant or solution provider, please reach out to us at info@execsintheknow.com to find out how you can get a listing in our CX Marketplace.

On September 24-26, 2024, CRS is headed to Palm Springs! This Fall’s Summit promises an inspiring and exciting lineup of 30+ sessions, bringing together CX leaders from globally renowned brands to learn, share, network, and shape the future of CX.

We’ll be focusing on, “Building on Our Foundations – People, Technology, Data, and Humanity,” which speaks directly
to the heart of the CX industry in an era
of continuous change. It celebrates the pillars of CX that propel us toward future possibilities when we continue to sharpen, enable, and enhance the fundamentals.

From memorable mainstage sessions to in-depth workshops, CRS will offer a wealth of knowledge to expand your skillset and perspective. Get ready for three jam-packed days of learning, inspiration, and connection experience in Palm Springs.

Learn more and register here.

The post CX Executive Brief: 10 Industry Insights from Customer Response Summit Tucson appeared first on Execs In The Know.

Arc’teryx has positioned itself at the forefront of innovation and sustainability. At the heart of the brand’s mission is crafting a pinnacle guest experience that transcends the traditional boundaries of retail and brand interaction. Pitsch articulated a bold vision, emphasizing a deep connection with the mountain community that forms the core of Arc’teryx’s identity.

This connection is not just a backdrop but a driving force behind the brand’s commitment to its guests, ensuring that every interaction is rooted in authenticity and shared values. A commitment to circularity and sustainability guides Arc’teryx’s approach to customer experience.

He also highlighted the innovative strategies Arc’teryx employs to embed circularity into its operations, aligning with the brand’s overarching goal to “Leave It Better.” This philosophy is about minimizing impact and actively contributing to a more sustainable future, a message that resonates deeply within the mountain community and beyond.

Empowering Culture

His keynote illuminated the importance of an empowering culture within and outside the organization. Pitsch underscored the symbiotic relationship between the internal and external communities, asserting that “meeting them where they are” is fundamental to crafting genuine and impactful guest experiences. This perspective is a testament to Arc’teryx’s belief in the interconnectedness of people, products, and the planet.

For customer experience leaders, Pitsch’s presentation offers inspirational and actionable takeaways. Arc’teryx’s journey underscores the importance of being deeply rooted in your community, understanding its nuances, and engaging with it in meaningful and transformative ways.

The brand’s commitment to circularity and sustainability is a powerful blueprint for integrating environmental stewardship into the fabric of customer experience.

Key Highlights of Dave Pitsch’s Keynote Address

• Deep Connection with the Mountain Community: Arc’teryx’s unwavering commitment to its roots in the mountain community is the foundation of its guest experience, fostering a sense of authenticity and shared passion.
• Sustainability and Circularity: The presentation underscored Arc’teryx’s innovative approaches to sustainability, particularly its efforts to embed circularity in its operations, aligning with the goal to “Leave It Better.” The brand’s ReBIRD^™ platform is designed for circularity – the home for all of Arc’teryx’s initiatives in care and repair, resale, and upcycling.
• Empowering Internal and External Communities: Emphasizing the importance of empowering culture, Pitsch highlighted the interdependence of internal and external communities, suggesting that fostering a positive internal culture is key to delivering exceptional external guest experiences.
• Authentic Engagement: Arc’teryx’s emphasis on meeting the community “where they are” reflects its commitment to genuine engagement, understanding, and respect for its audience’s nuances.

In summary, Pitsch’s keynote at CRS highlighted Arc’teryx’s pioneering efforts in redefining the guest experience. It inspired leaders to embrace innovation, sustainability, and community engagement as pillars of their strategy. As we look to the future, the lessons from Arc’teryx’s journey are clear: genuine connections, a commitment to the environment, and an empowering culture are the keystones of a remarkable customer experience.

Thank you to Arc’teryx and Dave Pitsch for his leadership, participation, and insights.

Registration for CRS Palm Springs is now open. Join us September 24-26, 2024, for a dynamic in-person Summit tailored for leaders shaping the customer experience landscape in their organizations. This gathering is about fostering learning, sparking inspiration, and forging meaningful connections with your fellow CX visionaries in an inclusive and collaborative setting.

The post Arc’teryx’s Commitment to the Future: Sustainability, Circularity, and Customer Experience appeared first on Execs In The Know.

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She began by emphasizing the dynamic nature of customer expectations, which are continually shaped by technology and societal shifts. She argued that staying ahead in the CX game requires meeting and exceeding these evolving expectations.

This premise set the stage for her exploration of why a robust strategy around the VOC is beneficial and essential in today’s business environment.

Highlights from Tracy Sedlak’s Keynote

Customer Empathy: At the heart of Sedlak’s message was the importance of empathy. Understanding the customer’s perspective and emotions is key to designing experiences that resonate personally.

Data-Driven Decisions: She advocated leveraging data analytics to uncover insights into customer behavior and preferences, enabling more personalized and effective customer interactions.

Feedback Loops: Another central theme was the significance of creating effective feedback loops to capture, analyze, and act on customer feedback. Sedlak pointed out that this process is crucial for continuous improvement and innovation.

Cross-Functional Collaboration: She emphasized the importance of breaking down silos within organizations and called for enhanced collaboration across departments to ensure a cohesive customer experience.

Adaptability: Finally, Sedlak highlighted the need for organizations to be agile, adapt strategies based on customer feedback, and change market conditions to stay relevant.

Why are these points critical? Because in the age of the customer, businesses that fail to listen and adapt risk obsolescence. Sedlak’s keynote made it clear that the Voice of the Customer is not just a feedback mechanism but a strategic tool that can guide the entire organization towards greater customer centricity, innovation, and ultimately, success.

Moreover, she discussed the importance of technology in enhancing CX, from AI-driven personalization to seamless omnichannel

experiences. However, she cautioned against overreliance on technology without the foundational elements of empathy and understanding.

Her keynote was a clarion call to CX leaders to prioritize the VOC in their strategic planning. Organizations can meet and exceed customer expectations in this dynamic landscape by embracing empathy, leveraging data, fostering collaboration, and maintaining adaptability.

Sedlak’s insights serve as a guidepost for those looking to lead in customer experience as the business world evolves.

Thank you to Offerpad and Tracy Sedlak for her leadership, participation, and insights.

To connect with Tracy or to participate in the broader CX conversation, consider joining the Execs In The Know “Know It All” (KIA) Online Community. The KIA Online Community is a private, online community designed exclusively for CX Leaders at consumer-facing brands. Come learn, share, network, and engage to innovate.

Registration for CRS Palm Springs is now open. Join us September 24-26, 2024, for a dynamic in-person Summit tailored for leaders shaping the customer experience landscape in their organizations. This gathering is about fostering learning, sparking inspiration, and forging meaningful connections with your fellow CX visionaries in an inclusive and collaborative setting.

The post Beyond Satisfaction: Key Takeaways from Tracy Sedlak’s CRS Tucson Keynote on Voice of the Customer appeared first on Execs In The Know.

As financial institutions (FIs) face greater competition and steeper customer expectations, it’s clear that the convergence of generative AI and big data is not just a trend but a necessary paradigm shift. But how can FIs capitalize on this opportunity?

We’ll explore how the symbiotic relationship between generative AI and big data is poised to transform the way FIs operate, interact with customers, and drive growth; but first, let’s explore why this combination is so powerful.

Demystifying the interplay between generative AI and big data

The marriage of generative AI and big data represents a seismic shift in the way data is processed, analyzed, and utilized within the financial services ecosystem. When fueled by an organization’s own data, generative AI can uncover hidden patterns, predict customer trends, and optimize decision-making processes.

In turn, big data serves as the lifeblood of generative AI, providing the raw material for actionable insights and data-driven innovations.

The sheer volume of data available in the financial services industry presents both a challenge and an opportunity. While the upsides of merging big data with generative AI are clear, thoughtful strategies are needed to unlock the full potential.

So, how can FIs ensure they’re making the best use of big data and generative AI? There are a few key areas they can emphasize for the highest impact.

Reimagine customer service dynamics

Traditionally, financial institutions have struggled to deliver personalized, responsive service at scale. At the same time, the contact center serves as one of the most valuable hubs for insight into customer behavior and trends.

With the advent of generative AI-powered solutions, financial institutions can create a feedback loop between customer data and interactions, allowing organizations to anticipate customer needs, tailor recommendations, and resolve inquiries in real time.

From proactive fraud detection to hyper-personalized product recommendations, AI-driven customer service raises the bar for how financial institutions interact with members. Not only does this foster deeper levels of customer engagement and loyalty, but it also equips financial institutions with valuable decision-making information.

Reshape decision-making processes

Beyond customer service, the impact of coupling generative AI with big data extends to every aspect of decision-making within financial institutions. From risk assessment and compliance to regulatory reporting and beyond, AI-driven strategies are ushering in a new era of streamlined and data-based operational excellence.

By harnessing the power of generative AI, FIs can analyze vast troves of data with unprecedented speed and accuracy, enabling them to identify emerging trends in the market, mitigate risks, and seize opportunities in real time.

What’s more, AI-driven predictive modeling helps leaders anticipate fluctuations before they unfold, optimize resource allocation, and stay a step ahead of the competition.

Foster a culture of innovation

As financial institutions embrace AI-powered solutions, they are not only redefining operations, but also fostering an enterprise-wide culture of innovation.

From frontline agents to C-suite executives, employees are empowered to embrace a mindset of continuous improvement by offloading manual tasks that previously kept them in a cycle of head-down execution.

Beyond driving functional improvements like elevating customer service and boosting operational efficiency, generative AI and big data can work together to affect meaningful and far-reaching change across financial institutions.

A more agile and informed future for financial services

As generative AI applications continue to multiply, financial institutions stand at a critical inflection point. By combining generative AI and big data, these organizations can finally unlock actionable insights from their organizational data, and in turn, target key objectives while transforming customer experience.

Ready to dive deeper into how your institution can leverage the power of consumable data to revolutionize financial operations and customer experience? Join us at Execs In The Know’s upcoming Customer Response Summit for an illuminating session, ‘Unlocking the Power of Consumable Data: Transforming Financial Operations with Generative AI’ taking place Friday, March 15th, at 9am PST.

This session, featuring Veronica Semler, VP of Servicing Operations at Oportun, and Chris Reese, Director of Customer Value at Cresta, promises actionable insights that will set your institution apart in the digital age. Don’t miss the opportunity to take the first step towards transforming your operations with the power of generative AI and big data.

The post The Intersection of Generative AI and Big Data: A Turning Point for Financial Services appeared first on Execs In The Know.

Does that mean the quest for improved CX isn’t worthwhile? Of course not. But it does mean that as you transform, it’s crucial to anticipate the unintended consequences, and like Odysseus, be prepared to traverse uncharted waters with the help of external partners.

Most CX teams today have limited manpower to spare, which is why keeping focused on what matters the most — the needs, preferences, and emotions of your customers and employees can help you avoid potential pitfalls along the way.

Navigating Uncertainty with Human-Centered Design

In a world where change is relentless and technology investments often outpace organizational readiness, uncertainty in our space looms large. Many CX leaders are left wondering how to innovate — in the right ways — when capabilities and expectations are changing so often and so fast.

Chances are, your organization is feeling the pressure to keep pace, while taking part in an intricate balancing act between efficiency (how can I reduce the cost of my operations) and experience (how can I improve customer satisfaction and loyalty).

That’s where human-centered design comes in. It serves as a bridge between what people truly need, the vast potential of technology, and the requirements for success. Put simply, it’s an approach that prioritizes users’ needs, behaviors, and preferences, ensuring solutions (and service capabilities) resonate and deliver value.

But what’s presented above is not simply a design concept; it’s a control mechanism to ensure your transformational roadmap is steering your lean teams in the right direction while mitigating risks. And without it, your business may face one or more of the following unintended consequences.

Unintended Consequence #1: Technology Waste

Nearly a third of SaaS spending is going to waste within the average company, according to one study by Vertice. This occurs when companies invest in new technologies but fail to fully utilize their capabilities due to operational silos, skill gaps, broken processes, or inadequate training to integrate new capabilities into existing workflows.

Example: A multinational corporation invested heavily in a social media management platform for its marketing team without considering the use cases and needs of its frontline customer care staff. As a result, the system was underutilized, and redundant capabilities were procured, leading to wasted resources and missed opportunities for improved customer engagement.

Solution: Before even signing up for a software trial, map your processes and conduct user research to identify pain points and preferences. Best-in-suite technologies can break down the silos between customer service and marketing and highlight areas for cross-functional collaboration while unifying the customer experience.

When you involve your frontline staff and end-users in the decision-making process, you can ensure that the technologies you invest in will align with actual user needs, thereby reducing waste and maximizing ROI.

Unintended Consequence #2: Increased Complexity (for Agents & Customers)

Introducing new technologies without taking a “test-and-learn” approach can lead to increased complexity, frustration, and reduced satisfaction. Consider the employee experience. Contact center agents are tasked with learning seven tools, on average, to do their job well. This demand often leads to heightened burnout and attrition, resulting in higher operating costs for customer service departments — already under pressure to do more with less.

Example: A technology company implemented asynchronous messaging to improve productivity and cut costs but failed to capture Voice of the Employee (VoE) feedback before scaling it across its service delivery network. Performance and morale declined as agents struggled to navigate between chat windows and messaging threads. Tickets were closed prematurely, and technical issues and limitations became fires for agents to put out, instead of issues that could have been proactively addressed in the initial design and prototype.

Solution: Human-centric design lives and dies by user feedback. By getting input from agents throughout your CX transformation, you can continuously identify pain points, usability issues, and areas for process reengineering and automation.

Unintended Consequence #3: Negligent Misinformation

Many AI-powered systems, such as chatbots, may inadvertently provide inaccurate or misleading information, leading to diminished customer trust and satisfaction.

Example: Last year, Air Canada announced its new AI-enabled customer support chatbots. When one customer interacted with the bot to seek information on a bereavement rate for a flight, the chatbot conjured a response inconsistent with the airline’s policy. The airline, however, refused to honor the information given by the chatbot. The customer sued Air Canada, and won, citing negligent misrepresentation.

Solution: AI’s success hinges on human-centered design. Don’t forget to regularly test and validate your AI algorithms, maintaining accountability with feedback loops and human oversight to safeguard customer trust and satisfaction.

Unintended Consequence #4: Decreased Human Interaction

While CX transformation aims to streamline processes and optimize costs, over-automation can backfire on an organization — creating more problems than solutions.

Example: Frontier Airlines sought to modernize its delivery model and cut costs by replacing voice support with chatbots and self-help automation. However, their abrupt implementation led to a wave of negative reactions from frustrated passengers unable to get the assistance they needed. Rather than enhancing the customer experience, the move backfired, resulting in increased complaints and dissatisfaction. Moreover, its chatbot was rudimentary and failed to leverage advanced conversational AI, providing generic responses instead of addressing individual queries effectively.

Solution: Human-centered design ensures that automation complements, rather than replaces, human interaction. By preserving empathy and emotional connection in customer interactions, it maintains the integrity of the customer experience through a “test-and-learn” approach vs. Frontier’s abrupt switch.

Unintended Consequence #5: Impacts to Marginalized Communities

CX transformation efforts may inadvertently overlook certain customer or employee groups, including those with disabilities, limited access to technology, or those in occupations with high automation potential.

Example: A McKinsey report found that 24% of all Black workers work in occupations with greater than 75% automation potential. And while generative AI can optimize costs and increase profitability, it can also widen the racial wealth gap without careful thought and consideration.

Solution: Integrate human-centric design principles to prioritize inclusivity and accessibility. When you actively involve diverse user groups and suppliers in your processes and test them for wide-ranging accessibility, you can ensure your CX initiatives cater to all customers. The best part? AI can help with this. Leveraging AI in training and upskilling programs can boost graduation rates and create opportunities for upward mobility, fostering greater equity within organizations.

Unintended Consequence #6: Data Privacy & Cybersecurity Risks

CX transformation often involves collecting vast amounts of customer data for personalization purposes. But this can also raise privacy concerns if not handled carefully.

Example: In 2017, Equifax — one of the three major credit reporting agencies — was attacked and had the personal data of 147 million Americans exposed. One of the biggest contributing factors to the breach was a missed patch, which was overlooked through the company’s automated scanning process.

Solution: Adopting a human-centered design approach prioritizes transparency and user control over data collection and usage. This not only fosters trust with customers and employees but also ensures compliance with regulatory requirements, safeguarding against potential breaches.

The Arrival Home

Like Odysseus navigating the treacherous waters of his own odyssey, embarking on a journey toward CX transformation requires foresight, resilience, and strategic navigation. So, as your teams chart your own course home, remember that beyond the allure of technological advancements lies the heartbeat of any organization — its people. By placing human needs and experiences at the forefront, we can bridge the gap between innovation and user satisfaction, ensuring that our odyssey toward greater CX maturity isn’t just a voyage, but a triumph of empathy and understanding.

Join me on March 14 at the Customer Response Summit in Tucson, AZ, as we delve deeper into this topic, covering strategies for “Modernizing Your Service Delivery Model Without Losing the Human Connection.” As VXI’s VP of CX Acceleration Services, I’ll be leading the way, as we explore how human-centered design can illuminate your path forward.

Need help navigating your CX transformation journey? Contact us to speak with our CX Accelerate team today.

The post How to Anticipate and Address the Unintended Consequences of CX Transformation appeared first on Execs In The Know.

AI-driven hyperautomation for the enterprise looks like the current state of self-driving cars. We’ve got Teslas that can drive people to places on demand, and Waymo is roaming the streets of San Francisco and Phoenix with no driver at all! It’s a good start, but more must be done before considering ourselves in a fully autonomous driving world.

Challenges include incomplete data map versions, differing and changing road conditions, driving cultures, obstructions and many other variables. The system is also not functioning across every road, city, and location, nor is it in the larger, congested cities. And it still requires human oversight in all cases.

It’s the same for enterprise automation. Some automation exists, but to have effective hyperautomation in the enterprise, there are a lot of things that must happen first. Specifically: a “learning phase” to ensure automation can adapt to the challenges of the enterprise. This includes thousands of processes across every type of system, each with nuanced policies and different teams with embedded knowledge of how tasks are completed.

By using AI to learn business processes carefully and applying the right kind of learning rigor, it is possible to accelerate complex enterprise processes using hyperautomation.

A Poster Child: Customer Support

Customer Support is a great example of a people-intensive enterprise process that could benefit from AI-driven hyperautomation. Deloitte reports that 80% of contact centers are actively engaging in some stage of AI deployment.

The Customer Support/Service world changed 18 months ago with the advent of GenAI.  Chatbots are now radically more effective at solving problems and are cheaper to run and implement than ever before. As a result, all the incumbent customer service platform providers— Salesforce, Zendesk, ServiceNow, and so on—are adding GenAI to their core platform functionalityOpens a new window . Their bots will be exponentially more useful and powerful because they’re based on the data in those systems and can learn from them.

However–what about all the things that cannot be deflected? The ones that still require an agent! For non-deflected Customer Support, the hyperautomation opportunity is bigger. Each customer transaction is a one-off and high risk by definition—because it wasn’t simple enough to automate!

For example, a customer support agent dealing with a product-shipment problem needs to navigate various systems—internal and external “stacks” and tools (e.g., ServiceNow, Salesforce, SAP, Oracle ERP, shipping tools, and homegrown apps)—and make decisions that depend on a lot of context. An automated fulfillment process may be the same in the US and Germany, with one (critical) exception: a choice of different local fulfillment partners.

Similar high-volume, high-stakes functions requiring cognitive power include claims processing, healthcare revenue operations, vendor onboarding and many more back-office functions.

Making Processes Self-Driving: Build a Learning Machine

By using AI to watch and learn from agents’ actual workflows at scale, it’s possible to efficiently create and train models specific to agents’ environments, enabling them to anticipate and respond accordingly.

By anchoring the AI model in problems humans solve, the model will continuously learn from real-life workflows instead of generative, morphing models that originated from statistical suggestions versus logic. This helps you get to the optimal state.

Briefly, there are three musts for this kind of new “learning machine”:

1. Work at depth

The deeper you can perform your workflow analysis, the better you can define individual workflows. All workflows are not created equal, even if they are running the same process. High-value step- and time-saving opportunities may be buried in a single workflow or in an obscure combination of steps.

2. Listen to your data

By looking at processes at an in-depth, individual workflow level, you can identify subtle differences in execution that can help you determine the optimal operating state for modeling. Optimize based on actual data and logic—don’t assume anything.

3. Carefully train and listen to your model

Models will be most powerful if you train them with many different users in different scenarios. Unlike with RPA, there’s no one-size-fits-all approach. Just like you would have many different cars driving the roads and mapping it out in creating our self-driving car above, you want many different agents training the model to ensure things are right and accurate.

For example, consider two agents working in a fulfillment operation. One agent executes the process notably faster than most other agents in getting to a resolution. Another agent works much more slowly, using more steps and systems in a much longer workflow.

It’s tempting to think that the fast agent is automatically “right” and declare his workflow optimal for your AI model. On deeper analysis, however, the fast agent reveals many reopened cases on the back end (for errors in how he resolved them). In contrast, the “slower” second agent had a consistent 100% resolution rate.

Or, you might have two “identical” agents working side-by-side doing fulfillment. However, one might have access to additional systems (since she’s Tier 1) over her cube-mate, who’s Tier 2. Their workflow may have overlap, but understanding the nuances is critical to properly automating the flow. Does the automation layer need extra access to this system? Why does only Tier 2 have access, and should that flow aspect be reconsidered?

Deflection and Beyond

There’s no question that AI will enable more business functions to be deflected from humans to bots and other, more intelligent, autonomous technology. Thus, expect more deflection—and perhaps more successful deflection—with GenAI and its successors.

The next big AI win will be in making “self-driving” processes for long-winded transactions that involve multiple systems and many physical steps for live agents. These processes must keep up with increasingly hyperautomated businesses to meet customer, financial, regulatory, and board expectations. AI-driven learning “machines” based on workflow analysis and other perspectives can help close that enterprise application gap sooner rather than later.

Guest post written by Boaz Hecht Co-Founder And CEO, 8Flow.Ai

8Flow.Ai will be joining us at Customer Response Summit (CRS) in Tucson, March 12-15, 2024. Learn more about CRS Tucson here.

The post How AI-Driven Hyperautomation Can Enhance Business Efficiency in the Contact Center appeared first on Execs In The Know.

I didn’t know it at the time, but KITT is what we call a cobot or collaborative robot today. Cobots are AI that are capable of operating in human environments and using tools designed for humans. They do similar tasks as a human would, except with the benefit of extraordinary speed, memory, consistency, and computational power. By mimicking human work but accelerating those tasks, cobots can take advantage of existing infrastructure—making them quicker to deploy and easier for users to understand and manage.

Thinking About Cobots Through a Real-World Lens

To understand cobots, let’s look at an example of traditional automation: the monorail at Walt Disney World. The Walt Disney Company connected its first couple of Orlando theme parks and its early hotels with a self-driving train. However, after it was built, Disney added several new resorts and additional theme parks, routinely changing entrance locations and traffic flows.

At first, the company tried to keep up, building new tracks and monorail stops but quickly realized that the constant changes paired with the subsequent costs of rebuilding the monorail every few years made it hard to justify the benefits of the automation. So, Disney stopped modifying the monorail and instead added buses and shuttles to keep up with the changes. If you needed a new stop, you just added it to a driver’s route, no problem.

But with cobot technology, you never even build the monorail in the first place. Instead, you make the buses automated. They would drive on the existing roads with other traffic and easily learn how to add new stops to keep up with the constant changes. Even better, these automated buses could be completely repurposed for any number of challenges on Disney property requiring the transportation of groups. New areas of the park would have automated transportation available instantly—without building anything new.

Cobots Applied to Customer Care

So how does all of this connect to AI and automation for contact centers? Just like KITT before it, Sidd, Laivly’s artificial intelligence platform, is also a cobot. Drawing inspiration from the self-driving car concept, we developed Sidd, our own “self-driving” contact center agent. The “roads” it drives are your telephony system, your CRM, and those shipping websites that agents access when your customer asks for a specific delivery time.

In the realm of customer service, the integration of cobot technology is akin to the leap from static, inflexible systems to more adaptive, responsive solutions. These AI-driven cobots, much like the autonomous buses in the Disney analogy, operate within the existing infrastructure but with greater flexibility and adaptability to change.

Cobots in customer service environments are designed to interact naturally with customers, providing responses and solutions in real time. They are programmed to understand and process human language, gauge sentiment, and even personalize interactions based on customer history and preferences. This level of interaction is not merely about following a script. It’s about understanding context, much like how an autonomous vehicle interprets and reacts to its surroundings.

One of the key strengths of cobots is their ability to customize and adapt, flexing the rules like a human would. In a customer service context, this means being able to address multiple customer needs at once, with each interaction tailored to the individual customer’s specific issue. This is not replacing human agents, but rather enhancing their capabilities, allowing them to focus on more complex, nuanced customer interactions where human empathy and understanding are irreplaceable.

As cobot technology continues to advance, we can expect even more sophisticated and seamless integration into customer service environments. The future of customer service is one where AI-driven cobots work in harmony with human agents, each playing to their strengths to provide a customer experience that is efficient, empathetic, and continually evolving.

Embracing the Future of CX with Cobot Technology

In essence, the evolution of cobot technology in customer service is not just a shift in how services are delivered—it’s a transformation in the very nature of customer interaction. From reactive to proactive, from standardized to personalized, and from operational to strategic, cobots are redefining the landscape of customer service, promising a future that is more responsive, efficient, and attuned to the needs of the modern consumer.

These cobots, with their blend of efficiency, adaptability, and continuous learning, are not just tools but partners in enhancing the customer experience. They might not have KITT’s flashing red light or flair for drama, but in the realm of customer service, they are certainly making a similarly impactful entrance. Just as KITT was a harbinger of a future filled with intelligent machines, today’s cobots are a real-world embodiment of that vision.

And I still get to pretend I’m Michael Knight.

To learn more about how Laivly applies the cobot concept to real-world CX solutions, visit www.laivly.com.

Guest post written by Jeff Fettes, Founder and CEO of Laivly.

Laivly’s proprietary artificial intelligence platform, Sidd, enables the world’s biggest brands to leverage AI, automation, and machine learning into their existing customer service programs, swiftly and without extensive integration barriers, with industry-leading agent copilot and self service solutions.

Laivly will be joining us at Customer Response Summit (CRS) in Tucson, March 12-15, 2024. Learn more about CRS Tucson here.

The post From KITT to Cobots: Driving the Future of Customer Experience appeared first on Execs In The Know.

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Customer Response Summit (CRS) returns in Tucson, Arizona, March 12-15, 2024. Join your fellow CX leaders and colleagues for a dynamic experience of learning, sharing, networking, and engagement.

CRS is an event that promises to ignite your passion, spark innovation, and forge lasting connections. It is so much more than just a conference – it’s an experience!

We will spend three days embracing brave leadership and clearly Defining What Matters to cultivate a focused environment, promote innovation, and drive positive impact.

Beyond the learning, check out a few of the unique experiences that await you in Tucson.

Daily Rituals

At JW Marriott Starr Pass, three daily rituals honor the beautiful cultures representing Tucson.

Mitakuye Oyasin (MEE-TAH-KAY AWE-SIN)

Join us each morning on the Salud Terrace to participate in a traditional Native American Mitakuye Oyasin ceremony and unique Sonoran Desert experience. This is where you can find peace and reflect on the connection we all have with nature and each other, finding focus and creating lasting memories.

In a ritual that is centuries old, you will have the opportunity to make your intentions known to the universe through the burning of sage.

Morning Hike
Wednesday, March 13
6:30 am – 8:00 am

The JW Marriott Starr Pass Resort provides immediate access to various hiking trails right outside its front doors. Are you feeling adventurous and brave? Take on a morning hike and be rewarded with stunning views as you experience nature’s window of opportunity with four picturesque mountain ranges: Tucson, Tortolita, Santa Rita, and Santa Catalina. 

Attendees can enjoy the convenience of several trailheads located on the resort grounds. The trails offer a mix of hills, flat areas, and diverse terrain, making them particularly enchanting during the mornings and evenings.

Evening Tequila Toast

Join us each evening on the Salud Terrace to embrace a beautiful sunset and partake in a cherished nightly ritual – the Tequila toast. This experience invites you to savor one of 150+ handcrafted tequilas, accompanied by a complimentary toast.

Raise your glass and join in the spirited chant: “Arriba, Abajo, al Centro, al Dentro, Salud!” (Up, down, out and in).

Evening Networking Event

Thursday, March 14
6:30 pm – 9:30 pm

Get ready to step into your boots because we’re bringing together the brightest minds in CX for an unforgettable evening networking event in a charming little town packed with turn-of-the-century charm.

Prepare for a night filled with lively music, dancing, captivating entertainment, and various special experiences. Join us for a night to remember, where you can mingle with our renowned special guest, and enjoy a toast to new connections.

The Views

Nestled in the serene Tucson Mountains, the JW Marriott Tucson Starr Pass Resort is a haven where luxury meets the raw beauty of the Sonoran Desert.

Waking up here means opening your eyes to a symphony of colors as the early morning sun washes over the rugged landscape, casting a golden glow on the native cacti and wildflowers.

Throughout the day, the expansive blue skies create a vivid contrast against the earthy tones of the desert, offering a tranquil and invigorating view. As dusk falls, the horizon is set ablaze with fiery hues, crafting unforgettable sunsets that blend seamlessly with the resort’s elegant, nature-inspired architecture. This luxurious escape offers an ever-changing canvas of breathtaking views, providing a unique blend of opulence and the untamed spirit of the Arizona desert.

Charity Golf Tournament

As a leader, be brave and stand for something that can make a lasting impact. Join us for a meaningful day of golf at the Swing Against Stigma: A Leading with Impact Charity Golf Tournament on Tuesday, March 12, 2024, at The Club at Starr Pass, part of the JW Marriott Tucson Starr Pass Resort & Spa in Tucson, AZ.

Starting at 2:00 PM, this event invites participants to a shotgun scramble, 9-hole golf tournament set against the stunning backdrop of the Tucson Mountains, featuring a challenging desert course with dramatic elevation changes and iconic saguaro cacti.

By participating, you’ll not only enjoy a fantastic day on the green but also contribute to the National Alliance on Mental Illness (NAMI), supporting their efforts to destigmatize mental illness.

The event concludes with a dinner reception and awards ceremony from 4:30 to 6:00 PM, celebrating our collective effort to make mental health support more accessible. Grab your clubs, take a stance, and join us in making a difference!

Secure Your Spot with Special Pricing

From now through February 9, 2024, save $300 on your CRS registration with our special early bird pricing.

The post The Opportunity to Be Adventurous and Brave Leaders at CRS Tucson appeared first on Execs In The Know.