November 09, 2023
How Generative AI is Transforming Customer Service
In the constantly evolving world of customer service, Generative AI is redefining the rules of the game.

In the rapidly evolving customer service landscape, Generative AI has emerged as a game-changer. At, we're at the forefront of this transformative wave, and in this article, we'll explore how Generative AI is reshaping the customer service industry. From understanding its fundamentals to highlighting real-world examples and showcasing how can revolutionize your customer service, we've covered everything.

Generative Artificial Intelligence and Service Clients - An Introduction

To embark on this journey, let's start with the basics. Generative AI is a subset of artificial intelligence. It’s a technology that excels at creating human-like text and conversations with the potential to revolutionize customer service. Imagine an AI that understands, engages, and interacts with customers like a human agent. This is what Generative AI brings to the table.

What is generative AI?
Generative AI encompasses deep-learning models that possess the ability to process raw data, such as extensive sources like Wikipedia, Reddit, or the complete works of an artist like Van Gogh, and through a learning process, generate outputs that are statistically likely when given a prompt. At a fundamental level, generative models encode a simplified representation of their training data and use this encoding to create new content that shares similarities with the original data but is not identical. For a long time, generative models were employed in statistical analysis for numerical data. However, with the advent of deep learning, they have been extended to handle more complex data types like images, speech, and others.

The integration of Generative AI in customer service and customer support has become essential for companies aiming to provide a successful customer experience. However, how can one approach generative AI technology effectively?

The answer lies in adopting a human perspective: treating AI like a new team member. Preparing and training AI comprehensively from the outset will significantly influence its behavior and capabilities, ensuring seamless integration into your customer service ecosystem.

How Generative Artificial Intelligence will transform service Clients

So, how exactly will Generative AI transform customer service? Let's delve into the ways this technology is reshaping the industry:

Personalized conversations 

One of the most significant ways Generative AI is transforming customer service is by enabling highly personalized conversations. Traditional customer service chatbots and conversational interfaces often follow a rigid script. This can be frustratingly unhelpful when customers have unique or complex inquiries. Generative Artificial Intelligence can understand the nuances of customer requests and generate responses that are tailored to the specific context.

Generative AI tailors responses and recommendations to individual preferences by analyzing customer data. This personal touch fosters more profound customer connections, increasing customer satisfaction and loyalty. It can consider a customer's purchase history, preferences, and even tone of voice, creating a more human-like and engaging conversation. This level of personalization can significantly improve the customer experience and increase customer satisfaction. 

24/7 Availability 

Another significant benefit of Generative AI in customer service is its ability to provide round-the-clock support. Customers today expect instant responses, and waiting business hours to get assistance is no longer acceptable. Generative AI-powered virtual assistants can be available 24/7, ensuring customers can get help whenever needed.

This continuous availability and the capacity to handle a large volume of inquiries simultaneously enhances customer satisfaction and allows businesses to operate more efficiently. They can handle large volumes of customer inquiries anytime, allowing companies to scale their customer service operations effortlessly. 

Handling complex requests 

Traditional customer service and customer support agents often need help with complex technical inquiries that require in-depth knowledge. Generative AI can be trained on vast amounts of information and quickly generate accurate and detailed responses to even the most challenging questions.

This capability is precious for healthcare, finance, e-commerce, and tech support industries, where customers often have intricate queries. Generative AI can provide quick answers, reducing customer frustration and improving the overall quality of service. It ensures coherent responses to frequently asked questions. Service quality remains consistent whether a customer interacts with a human agent or an AI-driven system.

Multilingual support and continuous learning 

In an increasingly globalized world, businesses often interact with customers of different languages. Generative AI can provide seamless multilingual & conversational support, breaking down language barriers and expanding a company's reach to a global audience. This opens up new markets and demonstrates a commitment to inclusivity and accessibility.

Moreover, generative AI is not static; but it's constantly learning and improving. These virtual assistants can analyze customer interactions and feedback through machine learning algorithms to enhance their responses over time. This means that as they accumulate more data and experience, by becoming even more proficient at providing excellent customer service. Adding to this, data collected by AI can be used by the company for strategic actions in customer experience, marketing, and sales.

How you can use to redefine the service Clients 

At, we have been using Generative Artificial Intelligence models since 2019, fully understanding their potential and limitations. Power must be accompanied by control. Generative Artificial Intelligence must be used effectively and placed in the business context strategically, depending on the type of company and its business strategies. Companies cannot afford to make bad decisions.

Our 'no-code' SaaS platform empowers brands to create their Conversational Artificial Intelligence solutions. Whether chatbots or voicebots, our platform adapts complex Generative AI models to specific business contexts and needs to expedite the most crucial business metrics. We approach the integration of generative AI into corporate customer service by treating it as if it were a newly hired employee.
Hence, we've delineated three steps to seamlessly integrate it into business operations:

Step 1: Allow Generative Artificial Intelligence to read business documents

To unlock the full potential of generative AI, the first step involves providing it with access to knowledge and business documents. These resources become the source of "truth," the knowledge base that fuels the accuracy of AI. Therefore, it is crucial to ensure accessibility to all relevant materials within the organization, including product or service documents, chat transcripts, FAQs and anything else that accurately reflects the company and its support operations Clients. Despite the impressive capabilities of Generative Artificial Intelligence models, it is essential to rely on something else to represent your company, as they may not have the most accurate or real-time information.

In addition, training a language model from scratch can be expensive, requiring significant time, effort, and computational resources. Adapting an existing model to your domain-specific data is also a cheaper solution, but it is still time-consuming and may not be practical to wait every time you want to update the content. To avoid these problems, the practical solution is to keep your knowledge base as the source of truth and allow Generative Artificial Intelligence to refer to it. To do this, we have developed the feature of uploading business documents to our platform, creating a knowledge base that allows Generative Artificial Intelligence to seamlessly adapt to your company's specific needs. Combining Generative Artificial Intelligence tools with business information enables the best of both worlds: fast and cost-effective content generation based on the most up-to-date reference materials.

Step 2: Train Generative Artificial Intelligence to perform contextual actions 

The second crucial step to maximize the use of Generative AI is to teach it to perform contextual actions. To enable AI to automatically address customer requests and provide an excellent customer service experience, you must provide AI access to company APIs. Otherwise, AI may be limited to providing only primary responses instead of performing complex actions like processing a payment refund, updating an account, or personalizing the experience so customers feel attention and commitment.<br>It is important to note that current language models predict the next word. While they do this very effectively, they are incapable of taking action on behalf of the customer. However, they can identify when to connect the customer to third-party software that can perform the requested action.<br>The decision to provide the virtual assistant with the ability to use company APIs requires collaboration between different teams within the company.

Our platform, through its "API Block" and "Condition Block" functions, allows integration of the virtual assistant with any company system and performs actions based on real-time customer data. This enables the creation of an interactive and contextual experience for your customers, allowing them to perform specific actions and receive personalized assistance efficiently and accurately.

Step 3: Introduce Generative Artificial Intelligence to colleagues. 

The third fundamental step in using Generative AI for successful Customer Service is integrating it within the organization as if it were a new employee. Training Generative AI in institutional knowledge and the expertise of experts within the company is essential for the optimal use of this technology. To do this, you need to: Identify resources within the company that will be involved in managing the chatbot. Prepare the virtual assistant to transfer requests to competent individuals. Provide the necessary tools to enable these individuals to offer their expertise and train AI.

Our platform is built to be managed by the customer service team independently, without requiring continuous support from the technical team.<br>With AI automatically handling many customer requests, there is an opportunity to direct truly unique demands to the customer service team members who are best equipped to manage them. To truly optimize the customer experience, AI must facilitate the transfer of expertise to the right people. The "Human Takeover" function of our platform allows customer assistance to intervene directly in live chat conversations or through other communication channels the company chooses. Additionally, the platform redirects customer requests to the appropriate individuals for more structured customer service operations, ensuring a complete and personalized customer service experience.

Examples of companies using Generative Artificial Intelligence to service Clients in a transformative way 

To truly appreciate the power of Generative AI, let's explore some real-world examples of companies harnessing this technology for exceptional customer service:

Lavazza: reducing dropout rates 

Lavazza, a leading company in the global coffee industry, has adopted our cutting-edge Generative Artificial Intelligence solution to improve the Clients service during online subscription service enrollment.

The core objective was to leverage the capabilities of generative AI to effectively reduce abandonment rates by intelligently addressing user requests. The results have been remarkable, with an astounding 85% of users reporting their deep satisfaction with the bot-driven experience.

Santander Consumer Bank: virtual assistant 

Banks and financial institutions use Generative AI-powered virtual assistants to streamline requests from Clients. These assistants handle tasks like checking balances, facilitating transfers, and delivering information promptly, enhancing overall service efficiency.

Santander Consumer Bank partnered with us to apply AI algorithms, automating these processes and optimizing user interactions. More than 80% of users found the content they were searching for. Moreover, each new input helps the virtual assistant learn and improve language skills, strengthening classification and expanding the knowledge base with new FAQs.

Just Eat: WhatsApp chatbot for restaurateurs 

Just Eat has chosen our solution to integrate a WhatsApp chatbot, simplifying the ticketing process for restaurateurs and reducing common data entry errors.

The primary goal was to provide a more efficient and direct solution for restaurateurs who frequently update their menus and service offerings. The company opted for our solution to enhance this workflow, developing a chatbot integrated with WhatsApp, a critical communication channel for its business operations. The Chatbot handled 86% of restaurateurs' requests autonomously.

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Will the Clients service be redesigned by Generative AI? 

A question often arises in discussions about whether AI in customer service will replace human jobs. While AI can handle many tasks efficiently, human empathy, creativity, and problem-solving abilities remain essential in complex and emotionally charged customer interactions.<br>The key to understanding the future of customer service jobs in the age of AI is recognizing that AI is an enabler rather than a replacement. Instead of displacing human agents, AI empowers them to excel in their roles, freeing up their time for more complex and meaningful interactions, offering personalized assistance, or helping them stay up-to-date with evolving customer needs and preferences.

The future of customer service jobs is not a zero-sum game with AI as the sole winner. Instead, it's a collaborative effort where AI and humans complement each other. As AI advances, customer service agents will increasingly become "superagents" who leverage AI to provide exceptional service.<br>These superagents will focus on relationship-building, problem-solving, and creative thinking, leaving the routine tasks to AI. They will serve as brand ambassadors, embodying the company's values and ensuring that every customer interaction is positive.

Generative AI is revolutionizing customer service in numerous ways. It enables personalized conversations, ensures 24/7 availability, handles complex inquiries, provides multilingual support, and continuously learns and improves. However, to make the best use of this technology, it is essential to integrate it strategically within business operations, grant access to business documents, teach it to perform contextual actions, and present it as a team member. offers a complete solution for Generative Artificial Intelligence in customer service, enabling companies to easily create customized virtual assistants. With the right integration and approach, AI can enhance the customer experience and improve business operations. As AI becomes increasingly present in customer service, the goal is not to replace humans, but to work synergistically with them to create exceptional customer service. If you are ready to transform your customer service through Generative Artificial Intelligence, is here to help. Contact us today to find out how we can customize a solution for your company's specific needs.


How does generative AI affect customer experience? 

Generative AI can enhance customer service and support through various approaches, including personalized conversations, round-the-clock availability, addressing complex inquiries, offering multilingual support, and continuous learning.

What is an example of generative AI customer service?

Generative AI can be applied to enhance customer service in various ways. For instance, Lavazza has harnessed generative AI to reduce abandonment rates during online subscription service enrollment by addressing user inquiries effectively. Santander Consumer Bank employs a virtual assistant to streamline customer inquiries and assist users in finding information efficiently. Similarly, Just Eat utilizes a WhatsApp chatbot for restaurateurs, simplifying processes and autonomously managing a significant portion of requests. These success stories demonstrate the versatility and effectiveness of generative AI across different industries.

How generative AI can be used to improve customer service and support? 

Generative AI can enhance customer service by providing instant responses to common inquiries, reducing wait times, and improving efficiency. It can generate personalized recommendations and solutions based on customer data, enhancing the overall customer experience. Chatbots powered by generative AI can handle routine queries, freeing up human agents to focus on more complex issues. Additionally, it can analyze customer feedback and sentiment to identify areas for improvement in products and services, ultimately leading to better customer satisfaction and loyalty. Generative AI streamlines support processes, making them more effective and customer-centric.

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