Examples of Conversational AI in Action


What is Conversational AI? How it work? Conversational AI Vs Chatbot

example of conversational ai

It can offer immediate and customised 24/7 customer support, reduce operational costs, and allow teams to concentrate on complex tasks. Ultimately Conversational AI can enhance your customer and employee experience and strengthen your brand image. We will explore the advantages of Conversational AI, including increased customer engagement, enhanced customer experience, and an increase in sales. Additionally, we will share examples of how businesses are already using this technology across multiple disciplines and provide recommendations for how you can implement Conversational AI into your organisation. Engage with shoppers on their preferred channels and turn customer conversations into sales with Heyday, our dedicated conversational AI tools for retailers.

example of conversational ai

What do two of the industries we’ve mentioned—banking and healthcare—have in common? They both handle highly sensitive personal information that must remain secure. Despite this challenge, there’s a clear hunger for implementing these tools—and recognition of their impact.

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UHG prides itself on being the leader in its industry when it comes to using artificial intelligence, and its virtual assistant, AVA, is a prime example of that. Duolingo begins with a placement test to determine exactly where each user’s understanding of the language begins. The test adapts as it continues based on if the user answered the previous question correctly or not.

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The voice assistant responds verbally through synthesized speech, providing real-time and immersive conversational experience that feels similar to speaking with another person. You can map out every possible conversational path and input acceptable responses to narrow down the customer’s intention. Conversational AI will integrate with IoT devices, enabling users to interact with their smart homes, vehicles, and appliances using natural language commands. Voice-activated assistants will become the central control hub for managing and controlling various IoT devices, creating a seamless and intuitive user experience. Explainability allows the company to identify potential errors, correct them, and ensure that customers and stakeholders can comprehend the reasoning behind specific outcomes. Responses by the OpenDialog platform are transparent and clearly explainable so companies in regulated industries, such as insurance and healthcare, can ensure conversations are compliant.

Improved Customer Service

However, the metric itself was designed by the Google AI team—which means it could be slightly biased. Contact Moveworks to learn how AI can supercharge your workforce's productivity. Before enforcing conversational AI, agencies ought to bear in mind the fee of implementation, scalability, patron records safety, and the potential to appropriately interpret and reply to patron queries. For example, if the user says, “I want to order a pizza,” the engine may respond by asking for their phone number and name. AI technology doesn’t just have the ability to transform call centers in the future—you can start using it today.

Since customer interactions are critical to a successful business, your ability to stay connected with them requires additional ways to keep the conversation going. Another application is text to speech tools that convert text to natural-sounding speech, improving accessibility for people using assistive technologies. Social listening and monitoring tools also use NLP to understand the tone and intent of online conversations how people feel about your brand. Natural language processing is the machine's ability to recognize words and phrases from conversations with humans because of the original data it learned from.

Here are just a few use cases for how businesses can use conversational AI platforms or apps today. They can carry out commands and reply to queries, making them helpful tools for looking up information or performing basic tasks. Conversational AI isn’t just limited to interacting with customers and prospects and sorting through piles of data.

example of conversational ai

The more customers interact with your business AI applications, the more data you’ll collect on your customer base. This means more accurate buyer personas, target market research, and customer segmentation. This is all thanks to the algorithm created and improved by Conversation Design–the workflow and architecture behind the best AI-powered conversations.

Measuring KPIs to Improve Customer Experience

Salesken’s AI chatbot works beyond traditional chatbot’s capabilities to understand the customer’s intent, emotion, and sentiment. As customer expectations rise exponentially, conversational AI can assist sales teams to deliver highly consistent customer service at scale. There is an inherent demand for effortless, immediate resolutions and technologies that can be established to improve intra-teams across channels. Even one bad experience can turn someone off from doing business with your organisation. Conversational AI creates meaningful and personalised customer insights for sales members to accommodate their customers’ emotions, intent, and sentiments. Customers can also use the bot to book in-store services and even virtually try on various products just by uploading their selfies.

Tinka is still operational and is one of the longest-running eCommerce chatbots — a testament to the technology’s viability in the long run. Some of the most popular and successful chatbots have been deployed as standalone and website chatbots and on popular messaging platforms too, such as Facebook Messenger, WhatsApp, and Google RCS. Once you have determined the purpose of your chatbot, it is important to assess the financial resources and allocation capabilities of your business. If your business has a small development team, opting for a no-code solution would be ideal as it is ready to use without extensive coding requirements.

Conversational AI Challenges

A familiar use case is virtual call center agents for customer support, which is what Normandin’s company Waterfield Tech handles. Conversational AI solutions can streamline customer engagement, enable real-time responses, and enhance overall user experience. Conversational AI services offered by managed service providers present an economical option for businesses looking to integrate intelligent communication systems. Leveraging their expertise in conversational AI technology, these providers bring proven best practices and the ability to scale up quickly. Whether through conversational AI chatbots or more complex conversational AI platforms, they deliver solutions tailored to specific business needs.


Mitsuku uses Artificial Linguistic Internet Computer Entity (A.L.I.C.E.) database. It also enhances its conversation skills with advanced machine learning techniques. A well-designed IVR software system can help improve contact centre operations and KPIs while also increasing customer satisfaction. An efficient interactive voice response system can assist consumers in locating answers and doing simple activities on their own, especially during times of heavy call volume. Chatbots – Chatbots may be found on websites, Facebook Messenger, iMessage, display advertising, and possibly additional channels in the future.

Célia Cerdeira has more than 20 years experience in the contact center industry. She imagines, designs, and brings to life the right content for awesome customer journeys. When she's not writing, you can find her chilling on the beach enjoying a freshly squeezed juice and reading a novel by some of her favorite authors. Think of IVR systems, which have made human operators all but obsolete for part of the customer journey.

  • There will be tasks that would demand you to weigh in on a chatbot vs conversational AI to find the best technology for service delivery.
  • Conversational AI technology with built-in scalability is unquestionably revolutionizing the ecommerce industry.
  • This involves recognizing the different sounds in a spoken sentence, as well as the grammar and syntax of the sentence.
  • A chatbot helps in collecting contact information, providing available listings, and book viewings.

He graduated from Bogazici University as a computer engineer and holds an MBA from Columbia Business School. REVE Chat is an omnichannel customer communication platform that offers AI-powered chatbot, live chat, video chat, co-browsing, etc. She creates contextual, insightful, and conversational content for business audiences across a broad range of industries and categories like Customer Service, Customer Experience (CX), Chatbots, and more. REVE Chat offers the best chatbot builder platform that offers default templates as well as to build bots across unique use cases.

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

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