AI Enterprise chatbots

Enterprise Chatbots: Features, Benefits, and Common Use Cases

Chatbots have been around for a while now, but it’s only in recent years that they have become truly popular among users and businesses alike. Did you know that one of the first-ever chatbots (known as Eliza) was created in 1966? While Eliza was only able to engage in simple dialogues by matching user inputs to pre-programmed responses, modern AI-driven enterprise chatbots are capable of doing much more, revolutionizing the way businesses interact with their customers.

Today, when more businesses are adopting AI chatbots, the chatbot market growth is predictable – and it’s going to be significant. In fact, according to research by Spherical Insights & Consulting, the global chatbot market size was valued at USD 5.39 billion in 2023 and is expected to reach USD 42.83 billion by 2033.

Here, at VoiceSpin, we’re always striving to stay on top of the latest technology solutions shaping the contact center industry. In this blog, we’re exploring how large-scale organizations are leveraging the power of AI chatbots to enhance customer and agent experiences, streamline business communications, and improve operational efficiency. More specifically, we’ll talk about technologies behind enterprise chatbots, the features and capabilities of enterprise chatbot solutions, their benefits, and common use cases.

What are Enterprise Chatbots?

An enterprise chatbot is an advanced conversational tool designed to streamline communications and optimize different processes within large organizations. Enterprise chatbot solutions aren’t only limited to customer support interactions – they can also be used to improve user engagement, increase sales, and even facilitate employee onboarding and training. Some of the most advanced chatbot tools can learn from past interactions and improve over time, providing more accurate, contextual-based answers.

Overall, we can distinguish between these types of enterprise chatbots based on their underlying technologies and capabilities:

Rule-based enterprise chatbots

Also known as linguistic-based, these chatbots use simple ‘if-when’ logic and operate on pre-defined rules and scripts, which means they have limited flexibility. FAQ chatbots that are able to answer very basic user queries are a good example of rule-based chatbots. The majority of the enterprise chatbots you’ve interacted with are most probably rule-based.

AI-powered enterprise chatbots

These are more advanced solutions that use an array of Artificial Intelligence tools like Natural Language Processing (NLP) and Machine Learning (ML) to ensure better contextual understanding and respond to more complex queries while also delivering a more personalized experience.

Hybrid enterprise chatbots 

Hybrid enterprise chatbot solutions combine rule-based and AI-powered capabilities and use both depending on the context (the complexity of the inquiry). These are, for example, customer service chatbots that can handle simple issues with rules and switch to AI responses for more complex inquiries.

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Core Technologies Behind AI-powered Enterprise Chatbots

Let’s now take a quick look at the core technologies leveraged by AI-powered enterprise chatbots that make them much smarter than basic rule-based bots (and definitely more pleasant to interact with):

Natural Language Processing (NLP)

Natural Language Processing (NLP) and Natural Language Understanding (NLU) are key technologies that enable chatbots to understand and process written text, interpret the context and intent of the query correctly, and generate contextually relevant responses. As part of NLP, sentiment analysis technology additionally enables chatbots to determine the sentiment or emotional tone of the written text.

Machine Learning (ML)

Machine Learning (ML) is another critical technology that extends the capabilities and performance of chatbots by enabling them to train on large datasets and improve the accuracy and relevance of responses. For example, customer service chatbots use ML to better understand and respond to customer inquiries by learning from past interactions and customer feedback. To put it simply, ML is what makes chatbots smarter over time.

Features and Capabilities of AI-driven Enterprise Chatbots

Ability to handle high volumes of simultaneous requests

At an enterprise level, AI chatbots can handle large volumes of simultaneous requests without compromising performance. If you’re using an enterprise chatbot solution for customer support, that means your customers will get prompt responses even during peak times. On top of that, unlike standard chatbots, AI enterprise chatbots are able to handle more complex inquiries, answer technical questions, and troubleshoot product issues.

Conversational AI capabilities

The conversational AI component of AI-driven enterprise chatbots is what makes them efficient solutions for customer support and user engagement. Enterprise chatbots that are built on conversational AI technology not only answer basic questions and provide relevant information. They are actually able to generate human-like responses that are coherent and contextually appropriate and imitate human interactions. While that doesn’t mean chatbots are likely to completely replace human agents any time soon, conversational AI helps make the user experience with chatbots more satisfying.

AI and human agents working side by side.

Seamless escalation to a live agent

The typical chatbot can resolve a wide range of support requests, but sometimes a human touch is still required to handle particularly complex issues. And though recent advancements in NLP and sentiment analysis have enabled AI chatbots to mimic empathetic communication to some extent, AI chatbots still lack emotional depth and are unable to respond with genuine empathy like humans.

But what’s great about enterprise chatbots is that they can seamlessly escalate the customer’s query to a human agent when the situation requires it while also preserving the full context of the interaction. What’s more, smart routing ensures that issues are escalated to the most suitable reps based on issue type and other factors like the agent’s skills and expertise.

Integration with other enterprise tools

Enterprise chatbots can be seamlessly integrated with other enterprise tools and business systems, such as CRM (Customer Relationship Management) systems, ERP (Enterprise Resource Planning) software, omnichannel contact center software, messaging platforms, and customer support systems to optimize customer and employee interactions. And they are accessible across websites, social media, mobile apps, and other platforms.

integration with different CRMs

Applications across different use cases

Enterprise chatbots are widely used in customer support, sales and marketing, IT support, and human resources, while their use cases span across many different industries. These may include, for example, retail and e-commerce, financial services, banking, insurance, government, travel and hospitality, healthcare, and other industries. Built-in security and compliance features of AI chatbots additionally ensure that customer data and sensitive information remain protected in compliance with industry standards and regulations (like HIPAA and GDPR).

Continuous improvement through ML

We’ve already mentioned that earlier – and this is probably the most impressive capability of AI chatbots. Through machine learning (ML), AI enterprise chatbots can apply advanced algorithms and statistical models to learn from historical data and improve performance without explicit programming for every possible scenario. That enables chatbots to provide more efficient and contextually relevant responses while also delivering more personalized customer service to help you better meet customer expectations.

Benefits of Using Enterprise Chatbot Solutions

Enhanced customer experience

Consumers expect quick and efficient customer support, especially with simple issues. With the power of enterprise chatbots, you can speed up your entire issue resolution process and enable efficient self-service support, increasing customer satisfaction and improving customer experience.

Instead of a customer needing to wait for a live representative to talk to (and we all know customers hate waiting), the chatbot can instantly understand the customer’s intent and link them to the right information or help resolve basic queries (like initiating a return). Based on the stats published by Outgrow, 74% of customers would choose a chatbot over a human agent to look for answers to simple questions.

Improved agent experience

Enterprise chatbots can improve the experience for your agents, too. Imagine having to answer the same questions over and over again when you have dozens or hundreds of similar queries per day. Chatbots can answer frequently asked questions and process simple transactions, reducing the load on your support team and freeing up your reps to focus on higher-value tasks.

In addition, chatbots can quickly pull up information from your database and knowledge base and provide your reps with the relevant data they need in real time. That means they can resolve issues more efficiently without having to search for the information they need manually. Besides that, chatbots can also facilitate the training and onboarding of newly hired reps.

Increased engagement and sales

With proactive chat notifications, enterprise chatbots can help you increase engagement and drive more sales. Think about the website visitors browsing your product pages. Chatbots can initiate conversations with them, guide them through your products or services, and assist throughout the purchasing process, helping you increase conversions and sales.

Happy call center agents preventing call avoidance

Enterprise chatbots can also retrieve information from your CRM and offer personalized product suggestions or complementary products based on past customer behavior and preferences, helping you capitalize on cross-selling and upselling opportunities.

Data-driven insights

Enterprise chatbots aren’t just interacting with customers and prospects, providing information, resolving issues, or delivering recommendations. They can also analyze past interactions and give you a bunch of valuable insights that can help you reveal common customer behaviors, customer preferences, and trends.

For example, chatbots can identify questions that are most frequently asked by your customers. You can use this information to refine your FAQs, improve your knowledge base, and enhance agent training. Or, by analyzing the tone and sentiment of customer interactions, chatbots can help you better gauge customer satisfaction levels and identify areas for improvement.

Reduced customer support costs

Lastly, implementing AI-powered enterprise chatbots can lower your customer support costs. According to The Intercom Customer Service Trends Report 2024, 45% of customer service teams are already using AI chatbots – and of those who have adopted AI, the majority state that up to 30% of their support requests are being successfully resolved by AI chatbots. With enterprise chatbots, you can serve multiple customers simultaneously and extend your support availability beyond your office hours without having to hire and train additional customer support staff.

Common Enterprise Chatbot Use Cases

Customer service and support

Customer support is one of the most common use cases for enterprise chatbots due to their conversational AI capabilities. Since today’s customers expect quick and efficient support right on the spot, enterprise chatbots can help you deliver just that by providing accurate answers using the company’s internal knowledge while also being able to interact with customers in a natural, intuitive way.

The best part is that chatbots can juggle multiple customer conversations at the same time, enabling you to resolve more issues without incurring additional labor costs. No wonder Gartner predicts that by 2027, chatbots will become the primary customer service channel for roughly a quarter of organizations. And according to the stats published by HubSpot, for 40% of consumers, it doesn’t make any difference whether they talk to AI or a real person as long as their questions are answered quickly and efficiently.

Call center quality assurance

Enterprise chatbots can also be integrated with call center software and speech analytics platforms to facilitate the quality assurance process within call centers. For example, VoiceSpin’s AI Speech Analyzer integrates with an AI chatbot that serves as a virtual assistant that call center managers and supervisors can interact with to assess the quality of interactions and agent performance.

Thus, based on what you want to evaluate, the chatbot analyzes the transcription of the call and tells you how well the agent performed (e.g., whether the agent adhered to your guidelines, customer service quality standards, or compliance requirements), whether the customer was satisfied with the resolution provided, or whether the agent utilized cross-selling opportunities efficiently, etc.

Lead generation and sales

With an enterprise conversational AI platform, you can also effectively use AI chatbots for lead generation, user engagement, and sales. According to the stats from the Chatbot Trends Report by Intercom, 41% of all business chatbots are used for sales purposes. The same report revealed that business leaders say that chatbots have increased their sales by 67%. And based on the stats on chatbot usage published by LocaliQ, 36% of businesses use chatbots to improve their lead generation strategies, while over half of businesses using chatbots find that they’re generating more high-quality leads. Let’s now take a closer look at how enterprise chatbots can be used for sales and lead generation purposes:

  • Proactive engagement: Chatbots can proactively initiate conversations with users on your website based on specific trigger events, such as time spent on a page or shopping cart abandonment. Proactive notifications can offer users help selecting the right products/ services or assistance with completing a purchase, helping you increase customer engagement and conversions.
  • Upselling/ cross-selling: Similarly, you can use chatbots for up-selling and cross-selling by enabling them to provide relevant product recommendations or suggest higher-end alternatives or complementary products to go with the initial purchase, helping you increase the average order value. Chatbots can also spread the word about your special offers and discounts when users are exploring your offerings.
  • Lead capture and qualification: Enterprise chatbots can help you capture user information like contact numbers, email addresses, product preferences, and other valuable data that can further help you facilitate your retargeting and lead nurturing campaigns. And by asking a set of relevant questions, chatbots can gauge user intent, qualify leads, and pass them to relevant teams to guide users down the sales funnel.

Employee onboarding and training

In addition to all of the mentioned above, enterprise chatbots can also facilitate and automate (at least to some extent) your employee onboarding and training processes. Internal AI chatbots can empower your newly hired employees with all the critical information they need about the company, its procedures, and policies by answering their questions and providing role-specific information. Not only does it speed up your onboarding process, but it also makes it smoother and more efficient.

AI enterprise bots can also accelerate and enhance your employee training process. For example, you can utilize chatbots for product knowledge training and then assess the employees’ knowledge and identify knowledge gaps. For scenario-based training, chatbots can simulate real-world scenarios like addressing customer complaints, dealing with escalations, or resolving specific types of issues. You can also use AI chatbots for compliance training and other types of employee training initiatives.

Harness the Power of AI Chatbots and Other AI-driven Contact Center Tools with VoiceSpin

AI enterprise chatbots are excellent tools you can use to streamline your customer support, increase sales, and improve internal processes, but there are more AI solutions your contact center can benefit from. With VoiceSpin, you can leverage AI chatbots and an array of other AI features and capabilities that can boost your team’s efficiency.

  • With VoiceSpin’s AI chatbot, you can deliver 24/7 support across multiple digital communication channels, enabling your customers to get the information they need whenever they need it. The chatbot can integrate with your knowledge base and CRM system to retrieve relevant data and provide accurate answers to your customers’ questions.
  • With an AI-predictive dialer, you can improve the efficiency of your outbound calling campaigns. The dialer’s AI and ML capabilities ensure that leads are always connected to the best-suited sales reps based on the probability of making a successful sale, helping you maximize your sales conversions and improve your sales team’s performance.
  • With an AI speech analyzer, you can stay on top of your call center team’s performance, automate your QA process, and identify improvement opportunities. AI-generated call summaries and an integrated AI virtual assistant will tell you exactly how each conversation went and how well each agent performed according to your pre-defined parameters.

Book a demo call now with one of our sales reps to learn more about VoiceSpin’s AI-first contact center solutions and how you can use them to provide a better experience for both your customers and your agents.

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  • Enterprise Chatbots: Features, Benefits, and Common Use Cases
    1. What are Enterprise Chatbots?
    2. Rule-based enterprise chatbots
    3. AI-powered enterprise chatbots
    4. Hybrid enterprise chatbots 
    5. Core Technologies Behind AI-powered Enterprise Chatbots
    6. Natural Language Processing (NLP)
    7. Machine Learning (ML)
    8. Features and Capabilities of AI-driven Enterprise Chatbots
    9. Ability to handle high volumes of simultaneous requests
    10. Conversational AI capabilities
    11. Seamless escalation to a live agent
    12. Integration with other enterprise tools
    13. Applications across different use cases
    14. Continuous improvement through ML
    15. Benefits of Using Enterprise Chatbot Solutions
    16. Enhanced customer experience
    17. Improved agent experience
    18. Increased engagement and sales
    19. Data-driven insights
    20. Reduced customer support costs
    21. Common Enterprise Chatbot Use Cases
    22. Customer service and support
    23. Call center quality assurance
    24. Lead generation and sales
    25. Employee onboarding and training
    26. Harness the Power of AI Chatbots and Other AI-driven Contact Center Tools with VoiceSpin
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