Robotic AI assistant helping a woman who presses a button on the robot's chest, in an image generated by AI.
Editorial

Can Agentic AI Revolutionize CX and EX?

6 minute read
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Agentic AI is characterized by its ability to take initiative and act independently within set boundaries.

The Gist

  • Revolutionizing workflows. Agentic AI is transforming business operations by automating complex workflows, enhancing decision-making, and creating personalized customer interactions.
  • Enhancing the human experience. By combining AI efficiency with human empathy, agentic AI improves both customer and employee experiences.
  • Future of AI. Agentic AI will play a key role in achieving artificial general intelligence (AGI), enabling businesses to operate more intelligently and humanely.

The concept of agentic AI is gaining momentum, promising to revolutionize how businesses operate and interact with their customers. But what exactly is agentic AI, and how does it transform customer and employee experiences?

There’s a lot of talk that agentic AI will be hitting the mainstream by the end of this year (2024). It is my personal belief that we’ll achieve artificial general intelligence (AGI) with agentic AI, not frontier, monolithic models.

It’s both scary and exciting to see how quick developments in this area of AI are happening. The crux of it is that humanity will be increasingly handing over trust to AI, eventually giving full autonomy to AI as early as 2035-2040!

Trust is what generates experience equity. In my book, “Genesis: Human Experience in the Age of Artificial Intelligence,” I made the point that humanity and AI combined are stronger than either one individually. And we have five to seven years before what I call the ”‘fork” leading to utopian (Star Trek) or dystopian (Mad Max) alternate futures.

The implications are far and wide, but let’s focus on the positive developments on agentic AI and its profound impact on the human experience (HX = CX + EX). Governments and nation states globally will need to rethink new economic policies.

What Is Agentic AI?

Agentic AI refers to intelligent systems, often called AI agents, designed to operate autonomously, perform tasks and make decisions without constant human oversight. These agents can process data, learn from interactions and adapt to new situations, making them highly versatile tools in various business applications.

Unlike traditional AI systems that require predefined rules and constant input, agentic AI is characterized by its ability to take initiative and act independently within set boundaries. This capability allows AI agents to manage complex workflows, automate decision-making processes and interact with both customers and employees in a dynamic and responsive manner.

Related Article: Customer Service Chatbots: AI Can Enhance Your CX

The Mechanics of Agentic Workflows

Agentic workflows involve the integration of AI agents into business processes to automate and optimize tasks. These workflows are designed to handle specific objectives, such as processing customer queries, managing inventory or even orchestrating marketing campaigns. The key components of these workflows include:

  • Autonomy: AI agents operate with a high degree of independence, making real-time decisions based on data inputs and contextual understanding.
  • Adaptability: These agents can learn and improve over time, adjusting their actions based on outcomes and feedback to enhance their effectiveness.
  • Interoperability: Agentic AI can seamlessly integrate with existing systems, tools and platforms, enabling a cohesive and connected workflow.
  • Proactiveness: Unlike reactive systems, agentic AI anticipates needs and proactively engages in tasks, often before a human would recognize the necessity.

Transforming Customer Experience with Agentic AI

Agentic AI has the potential to significantly elevate the customer experience (CX) by introducing a level of personalization, efficiency and responsiveness that was previously unattainable. Here’s how:

  • Hyper-Personalization: AI agents can analyze vast amounts of customer data to deliver highly personalized interactions. By understanding individual preferences, behaviors and histories, these agents can offer tailored recommendations, personalized marketing and customized support. This helps them create a unique experience for each customer.
  • Proactive Engagement: One of the standout features of agentic AI is its ability to anticipate customer needs. For example, if a customer is browsing a website and seems indecisive, an AI agent can proactively offer assistance, such as providing additional information or suggesting products that match the customer’s interests. Meta, for example, is thinking about creating dynamic, personalized 1:1 content; this is huge! Content could essentially be rendered on the fly.
  • 24/7 Availability: AI agents never sleep. They are available around-the-clock, providing instant support and ensuring that customers can get help whenever they need it. This constant availability can lead to higher customer satisfaction and loyalty. Consistency over intensity is key, and agents will level up the experience and service quality, leaving humans to tackle more complex problems that require empathy. It is also my belief that we will begin to pay a premium for tiered experiences. For example, speaking to a human would cost more.
  • Seamless Omnichannel Experience: Whether customers engage via chat, email, social media or phone, AI agents can provide a consistent and seamless experience across all channels. This omnichannel approach ensures that customers receive the same level of service, regardless of how they choose to interact with a brand.
  • Enhanced Decision-Making: AI agents assist customers in making informed decisions by offering data-driven insights and recommendations. For example, in the financial sector, an AI agent might analyze a customer’s financial situation and suggest investment options that align with their goals, making complex decisions more accessible. With multimodality, agents could potentially even decipher human sentiment, and create responses on the fly, creating an instant trouble-shooting guide for a specific issue ticket.
  • Efficiency and Speed: By automating routine tasks, such as answering FAQs or processing transactions, AI agents reduce wait times and streamline customer interactions. This efficiency not only improves the customer experience but also frees up human agents to focus on more complex and emotionally nuanced tasks.

Elevating Employee Experience Through Agentic AI

Agentic AI is not just a game changer for customers. It also has profound implications for employees. By automating mundane tasks and enhancing decision-making processes, AI agents can improve the overall employee experience (EX) in several ways:

  • Reduced Workload: AI agents can handle repetitive and time-consuming tasks, such as data entry, scheduling or simple customer inquiries. This reduces the employees’ workloads, allowing them to focus on more strategic, creative and fulfilling aspects of their jobs.
  • Improved Decision-Making: AI agents can provide employees with real-time data analysis and insights, aiding in more informed decision-making. This support is especially valuable in fast-paced environments where quick and accurate decisions are crucial.
  • Enhanced Collaboration: AI agents can facilitate better collaboration by managing communications, setting up meetings and ensuring that all team members have access to the information they need. This leads to smoother workflows and more cohesive teamwork. The level of agency, authority and executability over tasks will transition from human workers to AI agents. We will trust agents with more and more complex tasks, and might eventually relinquish full control by the year 2040.
  • Personalized Learning and Development: AI agents can help design personalized training programs for employees, identifying skill gaps and recommending relevant courses or resources. This approach ensures that employees receive the training they need to grow and excel in their roles.
  • Increased Job Satisfaction: By taking over routine tasks, AI agents allow employees to engage in more meaningful and impactful work. This shift can lead to higher job satisfaction, as employees feel their skills and talents are being utilized to their full potential.
  • Proactive Support: Just as AI agents can proactively engage with customers, they can also support employees by anticipating their needs. For instance, an AI agent might notice that an employee is struggling with a particular task and offer assistance or suggest resources to help them succeed.
Related Article: No More Hold Music? AI in the Contact Center Is Here  

Balancing Automation With Human Touch

While the benefits of agentic AI are clear, it’s essential to strike a balance between automation and the human touch. AI agents excel in efficiency, consistency and data-driven decision-making, but human empathy, creativity and emotional intelligence remain irreplaceable. The future of CX and EX lies in creating a harmonious blend of AI and human capabilities, where AI agents handle routine tasks and data-heavy processes, while human employees focus on building relationships, fostering trust and driving innovation.

The Future of CX and EX Lies in Agentic AI

Agentic AI is poised to transform both CX and EX by introducing a new level of efficiency, personalization and proactiveness into business operations. As AI agents continue to evolve, businesses that embrace this technology will be better positioned to meet the demands of the modern marketplace, delivering exceptional experiences that drive customer loyalty and employee satisfaction.

Learning Opportunities

In a world where technology is constantly advancing, the integration of agentic AI represents a significant leap forward, enabling businesses to operate more intelligently, responsively and humanely. The future of work and customer engagement is here, and it’s driven by the power of AI.

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About the Author
Luke Soon

Luke is a business transformation professional with over 25 years’ experience leading multi-year human experience-led transformations with global telcos, fintech, insurtech and automotive organizations across the globe. He was the lead partner in the acquisition and build-up of the human experience, digital and innovation practices across Asia Pacific with revenues surpassing $250 million. Connect with Luke Soon:

Main image: SaroStock, generated with AI
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