Chatbot vs conversational AI: What’s the difference?

Rule-based chatbots somewhat resemble automated phone menus that prompt the users to go through a series of choices that guide them towards the information they need. In this post, we will explain the difference between chatbots and conversational AI. You will get an understanding of what each of the terms means, how they relate to one another, as well as some of their key benefits. This is where conversational AI can step in, contextualising and customising interaction, which can pick up on negative tones and can switch to a sympathetic tone. This means you can provide a resolution to customer complaints, keeping users happy.

Just because you can easily incorporate AI into your CX strategy, doesn’t mean you’ll get the results you want without strong design and expertise to back it up. When deciding on a chatbot solution, it’s important to consider the scope for which you intend to use it. Given that rule-based automation can only offer so much, as a general rule of thumb they will likely find most success https://www.metadialog.com/ when implemented in smaller businesses, websites, and organizations. With a chatbot, you’d have to be exact with your verbiage in order for the machine to give out the answer you’re searching for based on user inputs. Conversational AI, or conversational Artificial Intelligence is the technology allowing machines to have human-like conversational experiences with humans.

What is the best conversational AI? Chatbot vs. conversational AI

Examples of companies utilizing chatbots include customer support bots on websites and messaging platforms. Rule-based chatbots excel in handling specific tasks or frequently asked questions with predefined answers. They are suitable for simple, straightforward interactions, such as providing basic information or performing routine tasks like order tracking.

In effect, it’s constantly improving and widening the gap between the two systems. A chatbot is a computer program that simulates human conversation, either via voice or text communication. Organizations use chatbots to engage with customers alongside more classic customer service channels such as social media, email, and text. Enterprises can greatly benefit from conversational AI since many have thousands of business processes spanning hundreds of applications. And, there is no better way to navigate a complex situation than a conversation.

Cons of Using Rule-Based Chatbots

If your chatbot is trained using Natural Language Processing (NLP), is context-aware, and can understand multiple intents, it’s a conversational AI chatbot. Chatbots are often leveraged by businesses to help meet certain marketing, sales, or support goals concersational ai vs chatbots and their success is tracked by metrics such as goal completion rate. Conversational AI allows your chatbot to understand human language and respond accordingly. In other words, conversational AI enables the chatbot to talk back to you naturally.