--- title: What is Conversational AI? Overview, Key Features and Benefits --- # What is Conversational AI? Overview, Key Features and Benefits Last Reviewed: March 11, 2026 9 min read [No comments](https://www.selecthub.com/live-chat/what-is-conversational-ai/?noamp=mobile#respond) [ ![Sylvia Marak](https://www.selecthub.com/wp-content/uploads/2021/09/Sylvia-Headshot-96x96.jpeg) ](https://www.selecthub.com/author/sylvia-marak/) [Written by Sylvia Marak](https://www.selecthub.com/author/sylvia-marak/) Technical Content Writer [ ![Hunter Lowe](https://www.selecthub.com/wp-content/uploads/2023/11/cropped-Hunter-Headshot-96x96.jpg) ](https://www.selecthub.com/author/hunter-lowe/) [Edited by Hunter Lowe](https://www.selecthub.com/author/hunter-lowe/) Content Editor Table of Contents * [What is Conversational AI?](#What%5Fis%5FConversational%5FAI "What is Conversational AI?") * [Understanding the Technology](#Understanding%5Fthe%5FTechnology "Understanding the Technology") * [Key Components](#Key%5FComponents "Key Components") * [Why Do You Need a Conversational AI Platform?](#Why%5FDo%5FYou%5FNeed%5Fa%5FConversational%5FAI%5FPlatform "Why Do You Need a Conversational AI Platform?") * [Key Features](#Key%5FFeatures "Key Features") * [Integration](#Integration "Integration") * [Sentiment Analysis](#Sentiment%5FAnalysis "Sentiment Analysis") * [Dashboard and Analytics](#Dashboard%5Fand%5FAnalytics "Dashboard and Analytics") * [Usability](#Usability "Usability") * [Omnichannel Experience](#Omnichannel%5FExperience "Omnichannel Experience") * [Deployment](#Deployment "Deployment") * [Conversational vs. Rule-Based Chatbots](#Conversational%5Fvs%5FRule-Based%5FChatbots "Conversational vs. Rule-Based Chatbots") * [Conversational Chatbots](#Conversational%5FChatbots "Conversational Chatbots") * [Rule-Based Chatbots](#Rule-Based%5FChatbots "Rule-Based Chatbots") * [Why Do Businesses Prefer These Tools?](#Why%5FDo%5FBusinesses%5FPrefer%5FThese%5FTools "Why Do Businesses Prefer These Tools?") * [Primary Benefits](#Primary%5FBenefits "Primary Benefits") * [Increase Efficiency](#Increase%5FEfficiency "Increase Efficiency") * [Reduce Operational Cost](#Reduce%5FOperational%5FCost "Reduce Operational Cost") * [Improve Employee Satisfaction](#Improve%5FEmployee%5FSatisfaction "Improve Employee Satisfaction") * [Reduce Churn](#Reduce%5FChurn "Reduce Churn") * [Improve Customer Acquisition](#Improve%5FCustomer%5FAcquisition "Improve Customer Acquisition") * [Global Market Disruption](#Global%5FMarket%5FDisruption "Global Market Disruption") * [The Future](#The%5FFuture "The Future") * [Conclusion](#Conclusion "Conclusion") Ever heard of Amelia, the “most human AI”? Founded 23 years ago, Amelia, an American technology company, is changing how businesses use [live chat software](https://www.selecthub.com/live-chat-software/). Amelia is a phenomenal conversational AI agent that uses natural language processing (NLP) to provide personalized experiences with customers on the market. [Compare Top Live Chat Software Leaders](https://pmo.selecthub.com/request-custom-scorecard/?category=Live%20Chat%20Software) ![Conversational AI Features and Benefits]() MarketsandMarkets research highlights that the global [conversational AI market](https://www.marketsandmarkets.com/Market-Reports/conversational-ai-market-49043506.html), including intelligent virtual assistants (IVA) and chatbots, is estimated to reach $18.4 billion by 2026\. Expectations of this conversational utility are high. In this article, we will delve deeper into the realms of AI and how it is reshaping the customer experience. ## What is Conversational AI? Imagine having an automated assistant that understands human behavior, detects moods and responds as efficiently as a person. With advanced technologies that underpin conversational AI, businesses can quickly develop online assistants for excellent customer experiences. Conversational AI is an amalgamation of different technologies that develop human-like interaction between people and computers. It uses machine learning (ML), NLP, deep learning, automatic speech recognition (ASR), [contextual awareness](https://blog.symbl.ai/blog/the-what-where-and-why-of-contextual-ai/) and advanced awareness management to recognize and understand the user’s speech, predict their intent and deliver personalized responses. Due to the rapid adoption of AI-based customer support services, businesses are using conversational artificial intelligence to provide effective solutions to customers. By the end of 2022, around 70% of workers with white-collar jobs are likely to interact with [conversational AI platforms](https://www2.deloitte.com/us/en/insights/focus/signals-for-strategists/the-future-of-conversational-ai.html/#endnote-7). As a result, most organizations are investing in advanced AI technologies. [Get our Live Chat Software Requirements Template](https://pmo.selecthub.com/lcs-software-requirements-onsite/) ### Understanding the Technology Human language is complex and unstandardized. This complexity highlights the need for NLP, AI and machine learning to translate, predict and learn customer behavior and intent. Besides customer acquisition, these technologies also play a significant role in running language translation, voice assistants, search engines, grammar analysis and email spam filters. This section will specifically focus on conversational AI platforms and how they function. ### Key Components If you’re looking to run a successful conversational AI platform, you should review these four major components. ![Key Steps of Conversational AI Process]() #### Input Processing Input processing refers to the customer’s (either a text or a voice) message. NLP identifies, corrects and breaks down the request into words making it easier for the agent to understand. #### Input Analysis In this step, the application analyzes the message. For instance, if it is speech-based, you use automated speech recognition (ASR) to parse the speech into language tokens. For text, you can use natural language understanding (NLU) to decipher it. NLU identifies the user’s intent and extracts relevant information for future use. #### Output Generation/Dialog Management The application formulates a response to the user based on the request, similar to communicating with a human agent. #### Natural Language Generation Machine learning algorithms refine responses to ensure replies are accurate. Virtual agents can get smarter over time and create new variations to improve user responses. Companies use conversational AI for multiple business applications to enhance the customer experience within their organization. They require developers to build conversational AI platforms to develop voice-based assistants and chatbots. These platforms can also integrate virtual agents or assistants into different messaging apps, websites, social media and other channels. ### Why Do You Need a Conversational AI Platform? AI-based platforms help businesses develop advanced conversational interfaces that include text and voice assistants, chatbots or voice bots. They allow companies to resolve customer queries, boost revenue, personalize the customer experience and increase efficiency. Since the pandemic, virtual agents, voice and text assistants, and chatbots started gaining popularity. Data collected from different conversational AI vendors says that the volume of interactions handled by conversational agents increased 250% across different industries over the last few years, revealed Deloitte. Great examples of conversational AI platforms include names like KAI, MindMeld and Kore.ai. [Get our Live Chat Software Requirements Template](https://pmo.selecthub.com/lcs-software-requirements-onsite/) ## Key Features Conversational AI platforms can provide multiple solutions for your business, but how do you decide what sets them apart from the rest? Your first step should be analyzing important features and functionalities like these: ![Conversational AI Essential Features]() ### Integration One of the most important features of any platform is integration. Finding a system that streamlines integration can help ensure a smooth customer experience. Seamless integration with tools like [CRM](https://www.selecthub.com/category/customer-relationship-management/), payment channels, sales and marketing help optimize data exchanging. ### Sentiment Analysis Leverage human-like emotions through advanced customer support that understands user psychology. It detects tone based on behavior and creates a natural response to steer conversations in the right direction. It uses NLP to analyze the customer’s emotions by categorizing them in three parts, positive, negative and neutral. These labels help virtual agents and chatbots understand the customer and respond accordingly. ### Dashboard and Analytics Keep track of user paths and exit points via analytics dashboards to gain customer insight and analyze patterns. Filter topics to analyze the percentage of issues resolved by virtual agents. Record conversations and check how well agents interact with customers. ### Usability Figure out if your vendor provides industry-specific or function-specific solutions. For example, industry-specific solutions provide domain-specific AI and cognitive models. They are best suited for healthcare, finance, utilities, sales and marketing, insurance and cybersecurity industries. Function-specific offerings are flexible and don’t focus on a specific industry or class of industry. They provide solutions like virtual assistants, operations intelligence, decision support and intelligent document processing. ### Omnichannel Experience Sync data with multiple channels while understanding the context from previous conversations on social media platforms, marketing websites or otherwise. These systems also maintain conversation continuity. ### Deployment Select deployment options based on the nature of your business. On-premise deployment gives you complete control over security. It also restricts unwanted users from accessing data. Cloud deployment can be more cost-efficient compared to on-premise and provides powerful flexibility. Hybrid deployment offers seamless integration and supports easy application movement between on-premise and off-premise infrastructures. [Compare Top Live Chat Software Leaders](https://pmo.selecthub.com/request-custom-scorecard/?category=Live%20Chat%20Software) ## Conversational vs. Rule-Based Chatbots Conversational AI and rule-based chatbots are the most common systems businesses use for customer support. Though their terminology seems similar, both serve different purposes. Before we get into details, we first need to understand the differences between the two. ### Conversational Chatbots As the term suggests, AI-powered chatbots provide a more conversational experience. These chatbots use machine learning and NLP to understand the user’s intent and formulate a response to generate a [human-like interaction](https://www.lifewire.com/more-human-like-robots-could-lead-to-better-interactions-5211385). Conversational chatbots are advanced and offer a dynamic customer experience. They identify the best ways to engage with customers while providing new business abilities. The more you train these bots, the better they understand your customers. ![Conversational AI vs Rule-Based Chatbots]() ### Rule-Based Chatbots Also referred to as decision-tree chatbots, rule-based chatbots use a defined set of rules to respond to customer requests. Developers define these rules in the form of scripts and dialogues. The chatbot delivers solutions based on specific keywords for familiar situations. These bots are not capable of answering questions outside of their predefined rules. ## Why Do Businesses Prefer These Tools? “Conversation is the only interface everyone already knows how to use,” says Alex Halper, Conversational AI COO at Deloitte. With revolutionary technologies like conversational AI, people are already beginning to see the possibilities of humans interacting with machines. Nearly [80% of consumers](https://www.epsilon.com/us/about-us/pressroom/new-epsilon-research-indicates-80-of-consumers-are-more-likely-to-make-a-purchase-when-brands-offer-personalized-experiences) are likely to do business with organizations that provide personalized [customer service](https://www.selecthub.com/customer-relationship-management/customer-service-software/). Multiple industries use these solutions in the form of virtual agents, virtual assistants and chatbots to understand customer goals. For instance, smart chatbots now handle loan applications in banking and financial industries. Retail and eCommerce sectors use them to identify trends in customer behavior and use the data to develop marketing strategies. [Get our Live Chat Software Requirements Template](https://pmo.selecthub.com/lcs-software-requirements-onsite/) ## Primary Benefits Companies can use these tools to increase customer engagement, automate resolutions to common queries, improve product accessibility and more. Let’s delve deeper and look at some benefits in detail. ### Increase Efficiency Businesses can increase efficiency by managing repetitive tasks and delivering instant customer information. They’re able to handle a higher request volume and provide correct and relevant information to customers. You can focus human agents on other complex tasks with all the time you save. ### Reduce Operational Cost AI helps cut costs by nearly 15-70% based on customer interaction. It lowers support costs by offering minimal investment. It also improves efficiency and reduces operational costs by solving customer queries instantly. ### [Improve Employee Satisfaction](https://www.selecthub.com/category/hris/employee-performance-management/) Reduce customer service representatives’ workload by categorizing customer calls on a priority basis. It automates basic daily processes and allows employees to spend more time on valuable tasks. ### Reduce Churn Increases customer satisfaction by providing 24/7 support service. These systems offer relevant insights and recommendations regarding the next step for customers while personalizing interactions. ![End to End Personalization]() ### Improve Customer Acquisition A successful system enhances customer acquisition by eliminating friction from the buyer’s journey, long waiting times and inconsistency across multiple channels. It reduces customer acquisition costs by understanding customer needs and simplifying their journey. [Receive Advice From the Experts](https://www.selecthub.com/managed-selection-services/) ## Global Market Disruption The pandemic highlighted a critical delay in customer queries. These delays are a primary reason businesses started developing more strategic approaches with NLP and machine learning. Multiple companies are transforming their digital experiences with AI’s advanced capabilities. Be it a call center, hospital or an eCommerce industry, conversational AI is on the verge of disrupting the global market. Based on a report by ResearchandMarkets, the market for these tools is projected to rise to [$12.9 billion](https://www.researchandmarkets.com/reports/5181348/conversational-artificial-intelligence-and-voice) by 2026. ## The Future These solutions are already shaping how humans interact in multiple business areas. By leveraging AI, most companies handle repetitive tasks and support humans to cope with technology disruptions. It can be a key differentiator for organizations, especially in customer service. Improving voice and virtual assistants, training conversational agents and handling complex conversations are some of the [conversational AI trends](https://www.cbot.ai/conversational-ai-and-virtual-assistant-trends-for-2022/) you need to watch out for in 2022 and beyond. [Compare Top Live Chat Software Leaders](https://pmo.selecthub.com/request-custom-scorecard/?category=Live%20Chat%20Software) ## Conclusion Conversational AI solutions will be a game-changer for many companies in the near future. They play a significant role in multiple business areas, including sales, [marketing](https://www.selecthub.com/c/marketing-automation-software/), automation and support services. With no signs of slowing down, millions of businesses will use conversational AI to enhance their customers’ experiences. This trend is here to stay! What are your thoughts? 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A live… ](https://www.selecthub.com/live-chat/live-chat-apps/) [ ![Sylvia Marak](https://www.selecthub.com/wp-content/uploads/2021/09/Sylvia-Headshot-96x96.jpeg) Sylvia Marak ](https://www.selecthub.com/author/sylvia-marak/) Mar 11, 2026 Originally published in August 2024 and last updated in March 2026\. Contributions from Sylvia Marak, and Hunter Lowe. ## About the Contributors The following team members helped research, create, and review this content. [ ](https://www.selecthub.com/author/sylvia-marak/) Written by [Sylvia Marak](https://www.selecthub.com/author/sylvia-marak/) Technical Content Writer Sylvia D. Marak is a technical content writer at SelectHub. Sylvia has more than four years of experience and expertise writing technical content related business intelligence and big data analytics. When not writing, she can be found traveling, baking, listening to music and drinking too much coffee. [See Full Bio](https://www.selecthub.com/author/sylvia-marak/) [ ](https://www.selecthub.com/author/hunter-lowe/) Edited by [Hunter Lowe](https://www.selecthub.com/author/hunter-lowe/) Content Editor Hunter Lowe is a Content Editor, Writer and Market Analyst at SelectHub. His team covers categories that range from ERP and business intelligence to transportation and supply chain management. Hunter is an avid reader and Dungeons and Dragons addict who studied English and Creative Writing through college. In his free time, you'll likely find him devising new dungeons for his players to explore, checking out the latest video games, writing his next horror story or running around with his daughter. [See Full Bio](https://www.selecthub.com/author/hunter-lowe/) Sylvia MarakThe 5 Best Live Chat Apps of 2026 * ‹ * › ### Conversation ![Avatar](https://secure.gravatar.com/avatar/281d3616cf761f3582c0d76c23517846?s=32&d=mm&r=g) Write a response [Cancel reply](https://www.selecthub.com/live-chat/what-is-conversational-ai/#respond) Your message Your name \* Your email \* Website Save my name, email, and website in this browser for the next time I comment. Δ [ Go to mobile version ](https://www.selecthub.com/live-chat/what-is-conversational-ai/?amp=1) **Tier 1:** Fully/moderately supported out-of-the-box allowing for quick and easy deployment. Fully or moderately supported out-of-the-box with industry-leading capabilities and is immediately available after installation without needing any add-ons, integrations, or custom development. **Tier 2:** Supported with workarounds or add-ons that may require additional costs. Not directly available in the software, but can be accomplished using other built-in features, workarounds, or add-ons/products from the vendor with or without any additional cost. **Tier 3:** Requires partner integrations or custom development that is often at an additional cost. Requires additional integrations, plugins, marketplace applications from a third-party vendor, or custom development using the APIs, libraries, extensions, and development framework supported by the software, with or without any additional cost. [Close](#) ```json {"@context":"https://schema.org","@graph":[{"@type":"Article","@id":"https://www.selecthub.com/live-chat/what-is-conversational-ai/#article","isPartOf":{"@id":"https://www.selecthub.com/live-chat/what-is-conversational-ai/"},"author":{"name":"Sylvia Marak","@id":"https://www.selecthub.com/#/schema/person/a991a5b53d335b87510cef2e43de6170"},"headline":"What is Conversational AI? 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