What Is Conversational AI? Definition and Examples

example of conversational ai

From Healthcare to Human resources to Food, every industry today can use & experiment with conversational AI to grow multifolds. Conversational AI software can be used to help customers solve common problems and automate repetitive tasks using natural language commands. Examples of Conversational AI Software include Kommunicate.io (Chatbot),  Amelia, LivePerson, Haptik, Ada, ServiceNext among others. Traditional chatbots often function on predefined workflows, where they understand only text inputs and commands. Conversational AI, on the other hand, understands even voice inputs, in addition to text inputs.

  • It can also reduce cart abandonment by answering customer queries instantly and encouraging them to complete their purchases.
  • In 2016, Casper, a major mattress manufacturer, and retailer, launched, arguably, the most well-known AI chatbots in the eCommerce industry — Insomnobot-3000.
  • With the help of chatbots and voicebots, CAI empowers customers with self-service options and/or keeps them informed proactively.
  • In whatever area a customer requires assistance, JetBlue’s chatbot is there to help.

Below we thought we would highlight three areas where we often find Conversational AI in action. In Customer Service, it enhances user experience through personalized interactions and 24/7 support. Healthcare benefits from symptom checking and continuous patient engagement, while E-Commerce leverages Conversational AI for personalized shopping experiences and streamlined operations. Across these uses, the technology ensures cost reduction, real-time support, and meaningful insights, catering to the unique needs and demands of each industry.

Conversational AI for Insurance

This allows businesses in healthcare to offer their patients the ability to schedule new appointments, look up existing appointments, cancel appointments or make scheduling changes. This is especially useful for patients looking for appointment information after-hours, or patients looking to reschedule an appointment last minute. Plus, every client can get their own personalized AI banking advisor to empower them to make data-driven decisions based on machine learning and historical data.

Vistry Launches Conversational AI Platform for Food Commerce and … – Restaurant Technology News

Vistry Launches Conversational AI Platform for Food Commerce and ….

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It also includes identifying the different types of words in a sentence, such as nouns, verbs, and adjectives. UnitedHealth Group is an American multinational managed healthcare and insurance company. Conversational AI helps Duolingo to make lessons more engaging, automatically tailoring lessons to each individual learner, the way a teacher would. HSBC says the system reduces operational risk and eliminates the repetitive and unnecessary manual tasks that complex trading typically requires. While FX options pricing and analytics were previously available through the company’s trading software, conversational AI makes them even more accurate by pulling in additional metrics and risk factors.

Beyond “Hey Siri”: 6 conversational AI examples for modern businesses

It’s not just the tech giants leading the way — companies across all industries are harnessing the power of conversational AI to boost efficiency, customer satisfaction, and even employee experience. Filing tax returns in India is a cumbersome process, and there were a lot of questions that customers asked the Chartered Accountants (CAs) before filing their returns. Taxbuddy felt that a chat interface was the best way to prevent the CAs from being overburdened. Taxbuddy looked for a Conversational AI chatbot solution, and found the perfect partner in Kommunicate. With Kommunicate, Taxbuddy was able to save close to 2000+ hours, and saw an increase of 13x in its productivity.

The result is that no customer service interaction is held back by language barriers. A multilingual chatbot makes your business more welcoming and accessible to a wider variety of customers. A service company with a product mindset developing custom digital experiences for web, mobile, as well as AI-based conversational chat and voice solutions.

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This technology has advanced significantly in recent years, enabling conversational AI systems to accurately transcribe spoken language and provide smart-sounding responses. You skip the search box mumbo jumbo and type right to the chatbot, describing the coat you need. A decade later, Kenneth Mark Colby at the Stanford Artificial Intelligence Laboratory created a new natural language processing program called PARRY. Although it was the first AI program to pass a full Turing test, it was still a rule-based, scripted program. Many tools are now available for building chatbots and speech bots that deliver automated conversation development, however, conversation design is not straightforward and remains a human-led discipline.


Since conversational AI relies on machine learning and constantly bettering itself, it will let you automate highly personalized customer service resolutions. If you’re only thinking about chatbots, voice assistants, and automated email responders, think again. Conversational AI uses multiple technologies to converse with customers in natural, human-like language. Natural language processing (NLP) is an AI technology that breaks down human language such that the machine can understand and take the next steps. Soon after implementation, businesses using CAI suffer from a lack of customers using chatbots to interact with them. Conversational AI works by combining natural language processing (NLP) and machine learning (ML) processes with conventional, static forms of interactive technology, such as chatbots.

An In-Depth Guide to Conversational AI

Check out our case studies to see how OpenDialog AI solves real-world problems for businesses. By night, she enjoys creating comics, loyally serving her two cats and exploring Chicago breweries. Conversational AI shines when it comes to empowering customers to handle a simple issue themselves. Here are a few reasons why conversational AI is one of the tools you should consider integrating into your tech stack.

example of conversational ai

Medical robots need human assistance to conduct robotic surgical procedures. Similarly, chatbots used in healthcare are not meant to replace real doctors. But they can assist medical professionals and simplify processes such as triage. Lyro’s self-learning capability enables it to handle up to 80% of frequently asked questions. It’s also a scalable solution that grows with your business and changes according to your needs.

Read more about https://www.metadialog.com/ here.

  • Today conversational AI is enabling businesses across industries to deliver exceptional brand experiences through a variety of channels like websites, mobile applications, messaging apps, and more!
  • You can see more reputable companies and media that referenced AIMultiple.
  • For instance, you can type in specific commands and the stream bots will send messages or perform selected moderation actions.
  • This is also great for 24/7 self-service customer support, because AI technology can answer questions any time of the day and streamline workflows for agents by taking on those tasks.