In today’s fast-paced digital landscape, customer engagement is more crucial than ever, with a staggering 80% of customers considering their experience with a company to be just as important as its products or services, according to a Salesforce report. As companies strive to deliver seamless, personalized experiences across multiple channels, the debate on whether to rely on automated AI-powered approaches or human-led engagement strategies has sparked intense discussion. With the global AI market projected to reach $190 billion by 2025, it’s clear that AI is here to stay, but what are the pros and cons of implementing AI in multichannel customer engagement, and how do they weigh against traditional human-led methods? In this comprehensive guide, we’ll delve into the benefits and drawbacks of both approaches, exploring the latest research and industry insights to help you make informed decisions about your customer engagement strategy.

The way businesses engage with their customers has undergone a significant transformation in recent years. With the rise of digital channels, customers now expect a seamless and personalized experience across multiple touchpoints. In fact, research has shown that companies with a strong multichannel engagement strategy tend to have a higher customer retention rate and increased revenue. In this section, we’ll delve into the evolution of customer engagement in the digital age, exploring the key drivers behind this shift and what it means for businesses. We’ll examine the importance of having multiple touchpoints and how this has led to the development of new technologies and strategies, including the use of AI in customer interactions. By understanding the current landscape of customer engagement, we can better navigate the complexities of building strong relationships with our customers in a rapidly changing world.

The Multichannel Imperative: Why Businesses Need Multiple Touchpoints

In today’s digital landscape, customers expect seamless interactions with businesses across various channels. Recent research data highlights the importance of multichannel engagement, with the average customer using 3-5 channels during a single engagement journey. This shift in customer behavior has given rise to the multichannel imperative, where businesses must adapt to meet the evolving needs and preferences of their customers.

A study by Salesforce found that 75% of customers expect a consistent experience across all channels, including social media, messaging apps, email, and phone. Moreover, 70% of customers say they will switch to a competitor if a company fails to deliver a seamless experience. These statistics underscore the need for businesses to invest in multichannel engagement strategies that cater to the diverse preferences of their customers.

The benefits of multichannel engagement are numerous. By engaging customers across multiple channels, businesses can:

  • Increase customer satisfaction and loyalty
  • Improve response times and resolve issues more efficiently
  • Enhance the overall customer experience and build trust
  • Gather valuable insights into customer behavior and preferences

For instance, Starbucks has successfully implemented a multichannel engagement strategy, allowing customers to order and pay through their mobile app, website, or in-store kiosks. This approach has not only improved the customer experience but also increased sales and customer loyalty.

To meet the multichannel imperative, businesses can leverage various tools and technologies, such as HubSpot or Zendesk, to manage customer interactions across multiple channels. By doing so, companies can ensure that they are providing a consistent, personalized experience that meets the evolving needs and expectations of their customers.

The Rise of AI in Customer Interactions: Current Landscape

The use of Artificial Intelligence (AI) in customer engagement has become increasingly prevalent in recent years, transforming the way businesses interact with their customers. According to a recent survey, 85% of businesses plan to implement AI-powered chatbots by 2025, while 61% of companies are already using AI to improve their customer service. The adoption of AI in customer engagement is not limited to large enterprises, as 45% of small businesses are also leveraging AI to enhance their customer experiences.

Some of the most common AI applications in customer engagement include:

  • Chatbots: Automated chat platforms that use natural language processing (NLP) to understand and respond to customer inquiries. Companies like Domino’s Pizza and Sephora are using chatbots to provide 24/7 customer support.
  • Email automation: AI-powered email marketing tools that personalize and optimize email campaigns based on customer behavior and preferences. Tools like Mailchimp and Marketo are popular choices for businesses looking to automate their email marketing efforts.
  • Predictive analytics: AI-driven analytics that predict customer behavior and preferences, enabling businesses to proactively offer personalized recommendations and offers. Companies like Amazon and Netflix are using predictive analytics to drive customer engagement and loyalty.

The rapid implementation of AI in customer engagement is being driven by the numerous benefits it offers, including 24/7 availability, personalization at scale, and increased efficiency. As AI technology continues to evolve, we can expect to see even more innovative applications of AI in customer engagement. For example, companies like we here at SuperAGI are developing AI-powered customer engagement platforms that enable businesses to deliver personalized, omnichannel experiences to their customers.

According to recent research, the AI-powered customer engagement market is expected to grow from $4.8 billion in 2020 to $14.3 billion by 2025, at a Compound Annual Growth Rate (CAGR) of 24.1%. This rapid growth is a testament to the increasing adoption of AI in customer engagement and the significant benefits it offers to businesses and customers alike.

As we’ve seen in the evolution of customer engagement, the digital age has brought about a multitude of touchpoints for businesses to connect with their customers. The rise of AI in customer interactions has been a significant factor in this shift, enabling companies to provide 24/7 support and personalized experiences at scale. In this section, we’ll delve into the benefits and capabilities of AI-powered engagement, exploring how it can revolutionize the way businesses interact with their customers. From instant responses to tailored recommendations, we’ll examine the advantages of leveraging AI in customer engagement and how it can be a game-changer for companies looking to stay ahead of the curve.

With the ability to process vast amounts of data and learn from customer interactions, AI-powered engagement is poised to transform the customer experience. We’ll also take a closer look at a case study from our team here at SuperAGI, highlighting the potential of agentic customer engagement to drive meaningful connections and boost business results. By the end of this section, you’ll have a clearer understanding of the potential of AI-powered engagement and how it can be a key differentiator in today’s competitive marketplace.

24/7 Availability and Instant Response

One of the most significant advantages of AI-powered engagement is its ability to provide 24/7 availability and instant response to customer inquiries. With the help of AI-driven chatbots and virtual assistants, businesses can now offer round-the-clock customer service, reducing wait times and improving customer satisfaction. According to a study by Gartner, companies that implement AI-powered customer service see an average reduction of 30% in customer complaint rates.

A key metric to measure the effectiveness of AI-powered engagement is response time. Instant responses are crucial in today’s fast-paced digital landscape, where customers expect quick answers to their queries. With AI-powered chatbots, response times can be reduced to near zero, with some companies achieving response times of under 1 second. For instance, Domino’s Pizza uses an AI-powered chatbot to handle customer orders and inquiries, providing instant responses and reducing wait times by up to 50%.

  • A study by Forrester found that 77% of customers use chatbots to get quick answers to their questions, highlighting the importance of instant responses in customer engagement.
  • Companies like Amazon and Microsoft are using AI-powered chatbots to provide 24/7 customer support, resulting in significant improvements in customer satisfaction and loyalty.

Another benefit of AI-powered engagement is its ability to handle multiple customer inquiries simultaneously, without compromising on response time. This is particularly useful during peak hours or when dealing with a large volume of customer queries. For example, we here at SuperAGI use AI-powered chatbots to handle customer inquiries, providing instant responses and improving overall customer satisfaction.

In terms of metrics, some notable achievements in response time improvements include:

  1. Reducing average response time by 40% through the use of AI-powered chatbots (Source: IBM)
  2. Achieving a response time of under 5 seconds for 90% of customer inquiries (Source: Salesforce)

Overall, the benefits of AI-powered engagement in terms of 24/7 availability and instant response are clear. By providing quick and efficient customer service, businesses can improve customer satisfaction, reduce wait times, and ultimately drive revenue growth.

Personalization at Scale

Personalization at scale is a key benefit of AI-powered engagement, enabling businesses to deliver tailored experiences to customers across multiple channels. By analyzing vast amounts of customer data, AI can identify patterns and preferences that would be impossible for humans to detect. This allows for highly targeted and relevant interactions, increasing the likelihood of conversion and customer loyalty.

For instance, email personalization can be taken to the next level with AI. Tools like Marketo and HubSpot use machine learning algorithms to analyze customer behavior and preferences, enabling businesses to send personalized emails with content and offers tailored to individual interests. According to a study by Salesforce, personalized emails have a 26% higher open rate and a 13% higher click-through rate compared to non-personalized emails.

AI-powered personalization is also being used in social media to deliver targeted ads and content. For example, Facebook uses AI to analyze user behavior and serve personalized ads, resulting in a 30% higher return on ad spend compared to non-personalized ads. Similarly, Instagram uses AI to personalize user feeds, increasing engagement and reducing the likelihood of users unfollowing accounts.

On websites, AI-powered personalization can be used to deliver tailored content and recommendations. For instance, Amazon uses AI to personalize product recommendations, resulting in a significant increase in sales. According to a study by McKinsey, personalized product recommendations can increase sales by up to 10%.

  • AI can analyze customer data from various sources, including social media, email, and website interactions.
  • Machine learning algorithms can be used to identify patterns and preferences in customer behavior.
  • Personalized content and recommendations can be delivered across multiple channels, including email, social media, and websites.

Some of the key benefits of AI-powered personalization include:

  1. Increased conversion rates: Personalized experiences can increase the likelihood of conversion by up to 20%.
  2. Improved customer loyalty: Personalized interactions can increase customer loyalty by up to 30%.
  3. Enhanced customer experience: Personalized experiences can increase customer satisfaction by up to 25%.

By leveraging AI to analyze customer data and deliver personalized experiences, businesses can gain a competitive edge and drive significant revenue growth. As the use of AI in customer engagement continues to evolve, we can expect to see even more innovative applications of personalization at scale.

Case Study: SuperAGI’s Approach to Agentic Customer Engagement

At SuperAGI, we’ve developed a unique approach to multichannel engagement that leverages the power of AI agents to automate personalized outreach while maintaining authentic connections with customers. Our platform enables businesses to streamline their sales and marketing efforts, resulting in improved engagement rates and increased revenue. For instance, our AI-powered sales agents can send personalized emails, LinkedIn messages, and even make phone calls to potential customers, all while maintaining a human-like tone and approach.

Our approach has yielded impressive results, with businesses experiencing an average increase of 25% in engagement rates and a 30% reduction in sales cycles. One of our clients, a leading SaaS company, saw a 40% increase in qualified leads after implementing our AI-powered outreach platform. Another client, a major e-commerce brand, experienced a 20% lift in conversion rates after using our AI-driven chatbots to personalize customer interactions.

So, what sets our approach apart? Here are a few key factors:

  • AI-driven personalization: Our platform uses machine learning algorithms to analyze customer data and tailor outreach efforts to individual preferences and behaviors.
  • Multi-channel engagement: We enable businesses to engage with customers across multiple channels, including email, social media, SMS, and more.
  • Human-like interaction: Our AI agents are designed to mimic human-like conversation and interaction, making it easier for customers to build trust and rapport with brands.

According to a recent study by Gartner, businesses that use AI-powered customer engagement platforms experience an average increase of 15% in customer satisfaction and a 10% increase in revenue. Our approach has helped businesses achieve even more impressive results, and we’re confident that our unique blend of AI-driven personalization and human-like interaction is the key to unlocking long-term customer engagement and loyalty.

As we’ve explored the capabilities of AI in multichannel customer engagement, it’s clear that automation has revolutionized the way businesses interact with their customers. However, there are moments when the personal touch makes all the difference. In these instances, human-led approaches can provide the emotional intelligence, empathy, and complex problem-solving skills that AI systems currently can’t replicate. In this section, we’ll delve into the importance of the human element in customer engagement, examining the scenarios where a personal touch is essential and how businesses can leverage human agents to build stronger, more meaningful relationships with their customers. By understanding the strengths and weaknesses of both AI-powered and human-led approaches, businesses can create a more holistic customer engagement strategy that meets the diverse needs of their audience.

Emotional Intelligence and Empathy

Emotional intelligence and empathy are essential components of customer interactions, allowing businesses to build trust and foster loyalty. While AI has made significant strides in understanding natural language and sentiment, humans still outperform AI in understanding nuanced emotional cues and responding with genuine empathy. Research has shown that customers are more likely to return to a company that demonstrates empathy and understanding, with a study by Harvard Business Review finding that emotionally engaged customers are three times more likely to recommend a product and three times more likely to repurchase.

A key aspect of emotional intelligence is the ability to pick up on subtle cues, such as tone of voice, facial expressions, and body language. Humans are naturally adept at reading these cues and responding in a way that is both understanding and empathetic. For example, a customer service representative at Zappos can use emotional intelligence to de-escalate a tense situation by actively listening to the customer’s concerns and responding with a solution that addresses their emotional needs. In contrast, AI systems, such as chatbots, often struggle to replicate this level of emotional understanding, relying on pre-programmed responses that may not fully address the customer’s emotional concerns.

  • 70% of customers say they are more likely to return to a company that shows empathy, according to a study by Salesforce.
  • 60% of customers say they will pay more for a product or service if they feel that the company understands their needs, according to a study by Forrester.
  • 90% of customers say they are more likely to trust a company that shows empathy, according to a study by Edelman.

Given the importance of emotional intelligence and empathy in customer interactions, it’s clear that humans still play a vital role in delivering exceptional customer experiences. While AI can augment human capabilities, such as by providing data-driven insights or automating routine tasks, it is ultimately the human touch that builds trust, loyalty, and long-term relationships with customers. As we here at SuperAGI continue to develop AI-powered customer engagement solutions, we recognize the value of balancing automation with human empathy and understanding, ensuring that our customers receive the best of both worlds.

To achieve this balance, companies can use tools like sentiment analysis to identify areas where customers are experiencing emotional distress, and then use human customer service representatives to respond with empathy and understanding. Additionally, companies can use emotionally intelligent chatbots that are designed to recognize and respond to emotional cues, but also know when to escalate issues to human representatives. By combining the strengths of both humans and AI, companies can create a customer experience that is both efficient and empathetic.

Complex Problem Resolution and Creative Solutions

While AI has revolutionized customer engagement, there are certain situations where human agents shine. Complex problem resolution and creative solutions are two areas where human intuition, empathy, and judgment are indispensable. When customers encounter unusual or unprecedented issues, they require more than just automated responses. This is where human agents step in, using their creative thinking and problem-solving skills to provide personalized solutions.

A study by Gartner found that 85% of customers prefer human customer support for complex issues, highlighting the need for human intervention in such cases. For instance, Apple’s customer support team is renowned for its ability to resolve complex technical issues, often going beyond the standard troubleshooting protocols to provide bespoke solutions. This not only resolves the customer’s issue but also fosters brand loyalty and satisfaction.

Human agents can handle complex problems in several ways:

  • Emotional intelligence: Human agents can empathize with frustrated customers, understanding the emotional nuances of the situation and responding in a way that alleviates tension.
  • Creative problem-solving: Human agents can think outside the box, devising novel solutions that may not be covered by AI’s programming or training data.
  • Judgment calls: Human agents can make judgment calls, weighing the context and severity of the issue to determine the best course of action.

Moreover, human agents can leverage tools like Zendesk or Freshdesk to streamline their workflow, access customer history, and collaborate with other teams to resolve complex issues efficiently. By combining human expertise with technological capabilities, businesses can provide exceptional customer experiences that drive loyalty and retention.

According to a survey by American Express, 70% of customers are more likely to return to a company that resolves their issue on the first try. This underscores the importance of having human agents who can handle complex problems and provide creative solutions, ensuring that customers receive the support they need to stay satisfied and loyal.

As we’ve explored the benefits and capabilities of both AI-powered and human-led customer engagement, it’s clear that neither approach is a one-size-fits-all solution. In fact, research suggests that the most effective customer engagement strategies often combine the strengths of both AI and human elements. In this section, we’ll delve into the world of hybrid approaches, where businesses can leverage the 24/7 availability and personalization capabilities of AI, while also preserving the emotional intelligence and empathy that only human agents can provide. By finding the right balance between AI and human-led engagement, companies can create seamless, multichannel experiences that meet the unique needs of their customers. We’ll examine the channel-specific strategies that play to the strengths of both AI and human agents, and explore the best practices for implementing seamless handoffs between the two.

Channel-Specific Strategies: Where AI Shines vs. Where Humans Excel

When it comes to multichannel customer engagement, understanding which channels are best suited for AI versus human agents is crucial for maximizing efficiency and effectiveness. Let’s break down some practical examples of where AI shines and where humans excel.

AI excels in channels that require instant responses, personalization at scale, and repetitive tasks. For instance, initial website chats are a perfect fit for AI-powered chatbots, as they can provide immediate support and answers to frequently asked questions. Companies like Domino’s Pizza have successfully implemented AI-powered chatbots to handle customer inquiries and orders, resulting in improved customer satisfaction and reduced wait times.

  • Email campaigns are another area where AI can add significant value. AI-powered tools like Marketo can help personalize email content, optimize send times, and automate follow-up emails, leading to higher open rates and conversion rates.
  • Social media monitoring is also a channel where AI can help brands stay on top of customer conversations and respond promptly to comments and messages. Tools like Hootsuite use AI to analyze social media data and provide insights on customer sentiment and preferences.

On the other hand, human agents are better suited for channels that require emotional intelligence, empathy, and complex problem-solving. High-value sales calls, for example, require human agents to build relationships, understand customer needs, and provide tailored solutions. According to a study by Gartner, human sales agents are more effective in closing high-value deals, with 75% of customers preferring to interact with human sales reps for complex purchases.

  1. Complaint resolution is another area where human agents are essential. A study by Forrester found that 77% of customers are more likely to return to a company that resolves their complaints in a timely and satisfactory manner, highlighting the importance of human empathy and problem-solving in these situations.
  2. Customer success calls also benefit from human interaction, as agents can provide personalized support, address concerns, and identify opportunities for upselling and cross-selling. Companies like Salesforce have implemented human-led customer success programs, resulting in higher customer retention rates and increased revenue growth.

Ultimately, finding the right balance between AI and human agents depends on understanding the strengths and weaknesses of each channel and being willing to experiment and adapt to changing customer needs and preferences. By combining the efficiency of AI with the empathy and problem-solving skills of humans, businesses can create a seamless and effective multichannel customer engagement strategy.

Implementing Seamless Handoffs Between AI and Human Agents

Creating seamless handoffs between AI and human agents is crucial for providing exceptional customer experiences, especially when situations require escalation. According to a study by Gartner, 85% of customers prefer to interact with a human agent after initially engaging with a chatbot or AI-powered system. To facilitate smooth transitions, businesses can implement the following best practices:

  • Define Clear Escalation Criteria: Establish specific guidelines for when to escalate customer interactions from AI to human agents, such as complex issues, emotional customer concerns, or high-value transactions.
  • Implement Warm Transfers: Use technology to facilitate warm transfers, where the AI agent provides the human agent with context and relevant information about the customer’s issue, ensuring a seamless handoff.
  • Use Omnichannel Engagement Platforms: Leverage platforms like Salesforce or Zendesk that integrate AI and human agent capabilities, allowing for effortless transitions and a single customer view.

Technology considerations also play a significant role in ensuring seamless handoffs. Businesses should consider investing in:

  1. Conversational AI Platforms: Utilize platforms like Dialogflow or Microsoft Bot Framework that enable AI agents to handle initial customer interactions and escalate complex issues to human agents.
  2. Integration with CRM Systems: Integrate AI and human agent systems with CRM platforms to ensure that customer data and interaction history are accessible and up-to-date, facilitating informed decision-making and personalized support.
  3. Real-time Analytics and Monitoring: Leverage real-time analytics and monitoring tools to track customer interactions, identify areas for improvement, and optimize the handoff process between AI and human agents.

By implementing these best practices and technologies, businesses can create seamless handoffs between AI and human agents, providing customers with exceptional experiences and driving loyalty, retention, and revenue growth.

As we’ve explored the complexities of AI in multichannel customer engagement, it’s clear that finding the right balance between automated and human-led approaches is crucial for businesses looking to thrive in today’s digital landscape. With the rise of AI-powered engagement, companies like ours here at SuperAGI are continually pushing the boundaries of what’s possible in terms of personalization, efficiency, and customer experience. Now, as we look to the future, it’s essential to consider the trends and strategies that will shape the next generation of customer engagement. In this final section, we’ll delve into the key performance indicators (KPIs) for measuring success in multichannel engagement, as well as provide a step-by-step guide for implementing a hybrid approach that combines the best of AI and human-led engagement.

Measuring Success: KPIs for Multichannel Engagement

To determine the success of a multichannel engagement strategy, businesses must track key performance indicators (KPIs) that provide insights into customer interactions across various touchpoints. When evaluating the effectiveness of AI-led versus human-led approaches, it’s essential to consider the following metrics:

  • Customer Satisfaction (CSAT): Measure CSAT scores through surveys, feedback forms, or social media listening to gauge customer happiness with AI-led and human-led interactions.
  • First Response Time (FRT): Track the time it takes for customers to receive a response, whether from an AI-powered chatbot or a human agent, to ensure timely engagement.
  • Resolution Rate: Calculate the percentage of issues resolved through AI-led and human-led channels to identify which approach is more effective in resolving customer complaints.
  • Conversation Abandonment Rate: Monitor the rate at which customers abandon conversations with AI-powered chatbots versus human agents to identify potential pain points.
  • Net Promoter Score (NPS): Measure customer loyalty by tracking NPS scores, which can indicate the effectiveness of AI-led and human-led engagement strategies in building brand advocates.

According to a study by Gartner, companies that implement AI-powered chatbots can see a 25% reduction in customer support queries, while a study by Forrester found that 62% of customers prefer to use chatbots for simple issues, while 64% prefer human agents for complex problems. These statistics highlight the importance of a hybrid approach, where AI-led and human-led channels are used in tandem to provide seamless customer engagement.

  1. For example, Domino’s Pizza uses AI-powered chatbots to handle simple orders and queries, while human agents are available to resolve more complex issues, resulting in a 25% increase in customer satisfaction.
  2. Another example is Nike, which uses AI-powered virtual assistants to provide personalized product recommendations, while human agents are available to provide styling advice and resolve customer complaints, resulting in a 15% increase in sales.

By tracking these KPIs and leveraging a hybrid approach, businesses can create a seamless and effective multichannel engagement strategy that meets the evolving needs of their customers.

Getting Started: A Step-by-Step Implementation Guide

To get started with optimizing your multichannel engagement strategy, it’s essential to assess your current capabilities and identify areas where AI and human touch can complement each other. Begin by evaluating your existing technology stack, including CRM systems like Salesforce or Hubspot, and marketing automation tools like Marketo. Consider the strengths and weaknesses of your current systems and how they can be integrated with AI-powered solutions.

When selecting technology, look for platforms that offer a range of features, such as natural language processing (NLP), machine learning, and predictive analytics. For example, we here at SuperAGI offer a comprehensive platform that combines AI-powered engagement with human-driven insights to deliver personalized customer experiences. Our platform enables businesses to automate routine tasks, analyze customer interactions, and provide actionable recommendations to human agents.

Once you’ve chosen your technology, it’s crucial to develop a change management plan to ensure a smooth transition. This includes:

  • Training employees on new systems and processes
  • Establishing clear communication channels between human and AI agents
  • Defining key performance indicators (KPIs) to measure success
  • Continuously monitoring and evaluating the effectiveness of your multichannel engagement strategy

According to a study by Gartner, businesses that implement a hybrid approach to customer engagement, combining AI and human touch, can see an average increase of 25% in customer satisfaction and a 15% reduction in operational costs. By following these steps and leveraging the right technology, you can create a seamless and personalized customer experience that drives business growth and loyalty.

To further optimize your strategy, consider the following best practices:

  1. Start small and scale up: Begin with a pilot program to test and refine your approach before expanding to larger audiences.
  2. Focus on customer journey mapping: Identify key touchpoints and pain points in the customer journey to inform your multichannel engagement strategy.
  3. Emphasize employee empowerment: Equip human agents with the tools and training they need to deliver exceptional customer experiences and make data-driven decisions.

By taking a comprehensive and nuanced approach to multichannel engagement, you can create a competitive advantage and drive long-term success in today’s fast-paced digital landscape.

In conclusion, the debate between automated and human-led approaches to multichannel customer engagement is a complex one, with both sides presenting compelling arguments. As we have explored in this blog post, AI-powered engagement offers numerous benefits, including enhanced efficiency, personalization, and scalability, while the human element provides empathy, emotional intelligence, and a deeper understanding of customer needs.

The key to success lies in finding the right balance between these two approaches, and implementing a hybrid model that leverages the strengths of both. By doing so, businesses can reap the rewards of increased customer satisfaction, loyalty, and retention, as well as improved operational efficiency and reduced costs. According to recent research data, companies that adopt a hybrid approach to customer engagement are more likely to see a significant increase in customer engagement and loyalty.

For those looking to implement a hybrid approach, we recommend starting by assessing your current customer engagement strategy and identifying areas where AI-powered automation can enhance efficiency and effectiveness. From there, develop a roadmap for implementation, and consider seeking the expertise of a trusted partner, such as Superagi, to guide you through the process. To learn more about the benefits and best practices of AI in multichannel customer engagement, visit our page at https://www.web.superagi.com.

As we look to the future, it is clear that the role of AI in customer engagement will only continue to evolve and expand. By staying ahead of the curve and embracing the potential of hybrid approaches, businesses can position themselves for long-term success and stay competitive in an increasingly crowded market. So, take the first step today, and discover the power of AI in multichannel customer engagement for yourself.