AI Chatbots in Customer Service: A Guide

Chatbots have evolved significantly over the last few years. While early versions of chatbots were little more than interactive FAQ programs, modern solutions are smarter and more human-like than ever before.   

Here’s everything you need to know about AI chatbots for customer service, from their benefits and use cases to how you can get the best return on your AI investment. 

What is an AI Chatbot?  

AI chatbots are software applications that use artificial intelligence to simulate human conversation.  

Early forms of chatbots were programmed simply to respond to frequently asked questions (FAQs) with pre-written answers. These chatbots were known as rules-based chatbots because they communicated using predefined rules.   

AI chatbots are an evolution of the traditional, rules-based chatbot. AI chatbots deliver more natural conversations and user experiences by employing conversational AI technologies. These technologies include natural language processing, natural language understanding, and machine learning models.   

AI chatbots are quickly replacing rules-based chatbots in customer service. For example, instead of just providing answers to FAQs, businesses can use AI-powered chatbots to help customers with placing orders, booking appointments, resolving common issues, and providing multilingual support.   

Today, there are many different types of AI chatbots, and not all of them are used in customer service.  

Of the many types of chatbots available today, generative AI chatbots, such as ChatGPT and Google’s Gemini, are perhaps the most popular. They are widely recognized for their ability to help answer questions related to almost any topic.     

Live Chat vs Chatbot vs Virtual Assistant

The rapid expansion of chatbot technology has created some confusion between a few similar terms. Three terms that are regularly used in the customer service industry are live chat, chatbot, and virtual assistant.  

Common Uses for AI Chatbots 

As AI chatbots have grown more advanced over the years, their use cases have evolved. There are call center chatbots that can detect the intent of a caller and route them automatically to the most appropriate agent. Businesses are also using chatbots to assist customers with tasks like placing orders or tracking their shipments.   

Popular uses in customer service

AI chatbots can also support employees with step-by-step coaching, troubleshooting assistance, and even content generation.  

Industry-specific use cases

The Benefits of AI Chatbots

AI chatbots can deliver benefits to many aspects of a business. However, they’re particularly useful in providing customer service through the contact center. When used correctly, they can enhance every touchpoint in the customer journey, improve engagement and brand loyalty, and even increase sales leads and conversions.  

Some of the most significant benefits of AI chatbots include: 

Delivering 24/7 Service 

Even the biggest companies struggle to ensure team members are available to address customer concerns and queries during evenings, weekends, and holidays.  

However, chatbots can operate through every hour of the day with no need for a break. This enables businesses to deliver consistent support day or night – whenever customers need it.  

In fact, 64% of customers say the thing they like most about chatbots is their ability to provide 24-hour support.  

Cost Savings 

While AI chatbots can’t handle every customer interaction, they can help with simple customer service tasks and reduce response and interaction times. This decreases the amount companies need to spend on staffing their contact centers with human agents.  

In 2024, for instance, chatbots are expected to save businesses up to 2.5 billion hours of work, leading to significant reductions in operational costs.  

Increasing Employee Productivity 

AI chatbots can empower employees and boost their productivity in a variety of ways. Specifically, they reduce the need for human agents to handle mundane inquiries and repetitive tasks, giving them more time to focus on creative and strategic work.  

Chatbots can also contribute to a better employee experience. For example, they can be used to facilitate employee feedback and internal surveys, creating better communication between employers and their staff. This ultimately leads to more productive, engaged, and satisfied employees.    

Scalability 

Most AI chatbots are flexible and adaptable by design. They can handle thousands of conversations simultaneously, provided you’re using the appropriate software.  

They can also scale up and down to meet fluctuating business demands, and even expand across multiple communication channels.  

Increasing Sales 

In addition to being great customer service tools, AI chatbots can even be used to boost sales. In fact, many sales-related activities can be automated by chatbots, including capturing and qualifying leads, scheduling product demos, and proactively offering promotions or discount codes. 

AI chatbots can also help optimize conversations and maximize revenue. For example, chatbots can suggest cross-selling and upselling opportunities by looking at a customer’s past purchases or what they have in their shopping cart.  

Deeper Insights 

AI-powered chatbots are excellent for gathering and analyzing data and providing in-depth business insights. They can help collect information about your target audience, customer preferences, and even customer sentiment.  

For example, AI chatbots can read the emotional tone of a customer based on their choice of words and categorize their sentiment as positive, negative, or neutral. Chatbots can also be programmed to collect feedback at the end of every customer interaction.    

This can help your business make intelligent decisions about launching new products and services as well as optimizing your customer experience strategy.   

5 Best Practices for AI Chatbots

While AI chatbots can deliver numerous benefits to businesses, they’re not without their challenges. Implementing the right chatbot technology requires companies to think carefully about their goals, security and compliance requirements, and target audience.  

Here are some best practices that you should follow when implementing chatbots into your customer service platforms.  

1. Consider use cases and goals

Before implementing AI chatbots into your contact center, it’s important to identify the right use cases and opportunities for this technology. The right solution for your needs will depend heavily on what you want to achieve with your chatbot.  

For example, if you want to streamline your call center and reduce contact handling times, call transfers, and abandoned calls, you might choose an AI chatbot that works with your IVR system. If you want to deliver hyper-personalized customer experiences, you’ll need to ensure your chatbot can leverage data from your CRM and customer data platforms to tailor each customer interaction.   

If you’re implementing Copilot-style chatbots for agent support, you’ll need to ensure these tools can adapt to your needs, offering real-time coaching, content generation or summarization options, based on your employees’ workflows.  

2. Find the right balance between human input and AI 

The rise of AI chatbot technology hasn’t eliminated the need for human agent interactions. Chatbots are excellent at handling simple and repetitive tasks, such as processing transactions, answering common questions, or helping customers check the status of an order.   

Human agents are still necessary for interactions that require empathy, problem-solving, and creativity. Failure to find the right balance between human touch and AI automation means you risk harming your relationships with your customers.  

When implementing AI chatbots into your contact center, make sure your human agents are still responsible for handling critical tasks that impact the customer experience.   

3. Prioritize data security and privacy

Chatbots rely heavily on access to data to deliver streamlined and personalized customer experiences. However, contact centers need to ensure that the data their chatbots use is managed and stored in a way that complies with data security and privacy regulations.  

The right chatbot solution should encrypt conversations from end-to-end to reduce the risk of data breaches and never share that information outside the business.  

Additionally, it should provide you with a comprehensive way to monitor how data is used and redact personal information from records when necessary. 

4. Invest in regular updates and maintenance

The best AI chatbots for customer service are always evolving and improving. The more information you gather about your customers and their purchasing history, preferences, and requirements, the more you can customize your chatbot to deliver better experiences.  

An innovative chatbot platform should allow you to regularly enhance your chatbot with new data and leverage the benefits of machine learning for automated optimization. It should also allow you to track your chatbot over time, alerting team members when you need to take maintenance steps to reduce the risk of errors and data breaches.  

Leading chatbot vendors will also ensure you can update your chatbot with new AI models when they become available. 

5. Choose the right chatbot solution

Ensure you’re investing in the right AI chatbot for your needs by carefully evaluating your options. A common mistake that businesses make is just thinking about the upfront costs and ease of implementation.   

When choosing an AI chatbot for your business, consider the following factors:  

In 2024, several chatbot solutions are leading the way in innovation, integration capabilities, and customer satisfaction.

Here's a roundup of the best AI chatbots available today. 

Ada

Best For: Non-technical teams looking for an easy-to-use solution with powerful analytics.

Freshchat

Part of the Freshworks suite of products, Freshchat offers a modern messaging solution designed to meet customers on their preferred channels. It boasts features like a customizable team inbox for efficient agent-customer interactions, co-browsing, conversation history, and user segmentation for targeted campaigns. It also integrates with other products in the Freshworks ecosystem for a seamless customer service experience.

Features:

• Omnichannel messaging
• Augmented analytics
• Customizable widgets
• User segmentation
• 33+ languages

Best For: Businesses seeking a versatile chatbot that can integrate deeply with sales and marketing tools.

Chatfuel

Chatfuel is a comprehensive no-code, chatbot-building platform designed for Facebook, Instagram, and WhatsApp. Chatfuel's platform allows businesses to build chatbots that engage, qualify, and convert leads directly on social media. Its intuitive interface and robust set of features make it a go-to for any business looking for a social media-based chatbot solution.

Features:

• Drag-and-drop interface
• Multi-platform support
• Automated qualification
• Social Media integration
• Natural language processing capabilities

Best For: Businesses aiming to maximize their presence on Facebook Messenger with engaging, automated conversations.

Drift

Drift's conversational marketing platform is designed to facilitate real-time interactions between businesses and their website visitors, providing a personalized experience and boosting engagement and conversions. Drift offers both AI chatbots and live chat options, enabling businesses to automate conversations or engage in human-assisted interactions with visitors​. It also offers personalized greetings and in-depth analytics to help businesses capture and convert more leads.

Features:

• Real-time lead qualification 
• UX personalization
• Email integration
• Automated routing

Best For: Companies focused on using chatbots for sales acceleration and improving lead generation processes.

HubSpot

Integrated within the HubSpot CRM platform, the HubSpot chatbot builder enables businesses to create chatbots that can book meetings, provide answers to common questions, and qualify leads. These bots can be built without coding and work seamlessly with HubSpot’s suite of tools, making it easy to nurture leads and automate workflows.

Features:

• CRM integration
• Content personalization
• Easy-to-use templates
• Multilingual support
  

Best For: HubSpot users looking to extend their CRM capabilities with automated virtual agents.

Netomi

Netomi's AI-powered platform focuses on providing highly personalized customer service interactions at scale. Netomi offers chatbots that leverage natural language understanding (NLU) for more human-like conversations, and integrate with major messaging platforms and service desks. Netomi supports email, chat, messaging, voice, SMS, search, and social channels.

Features:

• Customer sentiment analysis
• Omnichannel support
• Self-learning AI
• Seamless integrations

Best For: Companies in need of a powerful AI chatbot capable of handling complex customer service scenarios across all channels.

Summary 

AI chatbots are revolutionizing customer service by providing faster, more efficient, and personalized support to customers, while reducing costs and staffing requirements for businesses.  

Among their many benefits, AI-powered chatbots can help with reducing customer wait times, creating more personalized customer experiences, gathering data-driven insights, and enabling 24/7 availability for businesses.  

AI chatbots are not designed to replace human employees. However, by taking over simple and routine tasks, AI chatbots can free up more time for human team members to focus on issues that require more complex thinking.  

To learn more about ComputerTalk’s AI-enhanced contact center solution, click here.