What is Conversational AI Definition, Examples, FAQ

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In-Depth Guide to 5 Types of Conversational AI in 2023

what is an example of conversational ai?

Customer interactions with automated chatbots are steadily increasing—and people are embracing it. According to the Zendesk Customer Experience Trends Report, 74 percent of consumers say that AI improves customer service efficiency. If your customers are satisfied with your service, your business’ bottom line will reflect it. Once the computer has been trained or has been given a set of rules, it can then use this information to power a chatbot or other conversational AI system. This system can be used to handle customer support inquiries, answer questions, and carry out other tasks that would traditionally require human interaction. It automates FAQs and streamlines processes to respond to customers quickly and decreases the load on agents.


They can provide complex problem-solving, guidance, and personalized interactions. Conversational AI technology can be deployed across various channels like websites, messaging apps, and voice assistants. A good Conversational AI example might include a virtual assistant that helps with banking inquiries, scheduling appointments, or product recommendations. With continuous advancements in AI and machine learning, Conversational AI continues to evolve, offering enhanced capabilities and new opportunities for businesses. Conversational AI is set to shape the future of how businesses across industries interact and communicate with their customers in exciting ways. It will revolutionize customer experiences, making interactions more personalized and efficient.

Some of the industries employing are:

Conversational AI and chatbots are often mixed up and used interchangeably, even though they’re not the same. Conversational AI is a broad concept implemented in various technologies and tools. It’s a collective term for different methods that enable machine-to-human conversations. The voice assistant you use to check the weather is one conversational AI example. Conversational AI is a type of artificial intelligence that is capable of participating in natural-language conversations with users.

what is an example of conversational ai?

Well, chatbot vs. conversational agent comparison is a bit like asking what is the difference between a pickup truck and automotive engineering. Pickup trucks are a specific type of vehicle while automotive engineering refers to the study and application of all types of vehicles. Conversational AI can greatly boost your business’s ability to serve your customers.

The Ultimate Guide To Conversational AI: What It Is And Why You Should Switch To It

Salesken AI is a conversational intelligence platform that helps sales teams, improve performance, and reduce acquisition costs. The platform gives managers and sales reps visibility into every call, via detailed Call Analytics including emotions, objections, intent etc. The tool also gives sales reps real-time cues during their conversation to help them engage their customers better.

what is an example of conversational ai?

The goal is to provide faster, smoother, and more efficient support experiences, from answering common queries to engaging in free-flowing conversations through natural dialogue. With Alexa smart home devices, users can play games, turn off the lights, find out the weather, shop for groceries and more — all with nothing more than their voice. It knows your name, can tell jokes and will answer personal questions if you ask it all thanks to its natural language understanding and speech recognition capabilities. On a call, internal tools like virtual assistants can pull up relevant shortcuts and next steps in real time.

The use of conversational AI continues to spread over different industries, from some obvious examples like automating call center queries to some industries where you wouldn’t expect it, like finance and insurance. If your business needs to book appointments or make reservations, chatbots are very effective in fulfilling those functions. Solve your customers’ doubts to the most common questions 24/7 and at any time of the day.

The AI-chatbot uses therapy tools centring around the principles of cognitive behavioural therapy (CBT), dialectical behavioural therapy (DBT) and interpersonal therapy (IPT). The bot also offers psychoeducation and helps users address their mental health issues. On the other hand, traditional chatbots aren’t fully equipped with the technology to provide the same information and therefore, do little to improve customer satisfaction. It integrates with ecommerce, shipping and marketing tools, seamlessly connecting the back-end of your business with your customers — and helping you create the best customer experience possible. The result is that no customer service interaction is held back by language barriers.

Help your customers make purchasing decisions

Conversational AI simplifies time-consuming and mundane tasks prone to human error or miscommunication. Through automation and natural language processing, customers receive efficient and human-like responses to their questions, preventing response delays and increasing customer satisfaction. Artificial intelligence is booming in marketing, praised for delivering advanced solutions and streamlining company processes. Many businesses currently benefit from the power of AI as they work to optimize operations and sales processes. After implementing AI software to automate or improve marketing and sales tasks, 80% percent of users experienced an increase in lead generation, while 77% saw a direct boost in conversions. In the rapidly changing field of marketing, chatbots have become radical tools, offering creative methods to interact with customers and prompt marketing endeavors forward.

AI chatbots use machine learning and natural language processing (NLP) to lead a conversation with the user. AI chatbots generate their own answers by analyzing the user’s intent and goal of the conversation. In the context of conversational AI, UI enables users to engage with a machine and facilitates the dialog between the two. Examples of User Interfaces are chatbots, virtual agents and voice assistants, all of which take the information they receive, understand, and respond to it. Conversational AI functions using a variety of different technologies and concepts, one of which is natural language processing (NLP).

Continuously evaluate and optimize your bot to achieve your long-term goals and provide your users with an exceptional conversational experience. Once you have a clear vision for your conversational AI system, the next step is to select the right platform. There are several platforms for conversational AI, each with advantages and disadvantages. Select a platform that supports the interactions you wish to facilitate and caters to the demands of your target audience. In nearly every piece of science fiction, there are scenes where characters talk with artificial intelligence. This lets you determine patterns in conversations, trigger alerts based on words spoken for immediate follow-up actions, and get deep insight into your customer instantly.

what is an example of conversational ai?

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