{"id":1571,"date":"2021-11-19T19:39:06","date_gmt":"2021-11-19T19:39:06","guid":{"rendered":"https:\/\/www.replicant.ai\/learn-the-different-types-of-virtual-agents-by-replicant-ai\/"},"modified":"2023-05-09T20:57:47","modified_gmt":"2023-05-09T20:57:47","slug":"learn-the-different-types-of-virtual-agents-by-replicant-ai","status":"publish","type":"post","link":"https:\/\/www.replicant.com\/blog\/learn-the-different-types-of-virtual-agents-by-replicant-ai\/","title":{"rendered":"Learn the Different Types of Virtual Agents by Replicant.AI"},"content":{"rendered":"
There are four different types of virtual agents these days. Not long ago, the sound of a single computer-generated voice answering the phone may have filled the caller with a sense of dread. Early generation automated agents were often so limited in the answers they could provide that they were often seen as simply a roadblock to a live person.<\/span><\/p>\n Today, artificial intelligence (AI) and machine learning (ML) technologies have matured to a level where many virtual agents can successfully answer questions and fulfill customer service requests with no human intervention at all, providing faster service to callers and greater value to businesses. In fact, according to an article in <\/span>VentureBeat<\/span><\/a>, virtual support agents are expected to drive $1.2 trillion in business value by 2030.<\/span><\/p>\n The four types of virtual agents are:<\/span><\/p>\n Voice agents use scripted rules while AI agents speak naturally with customers to recognize needs. Virtual chatbots do the same but online or through text. Visual agents provide animation or virtual reality-based services.<\/span><\/p>\n Types of learning agents use a combination of AI and machine learning to increase its ability to recognize and respond to customer requests. If customers continually use new terms to express the same thing, the learning agent will add responses to its own library to minimize the customers\u2019 need to repeat themselves.<\/span><\/p>\n Growing in popularity at the turn of the millennium, interactive voice response (IVR) is defined by <\/span>IBM<\/span><\/a> as \u201can automated telephone system that combines pre-recorded messages or text-to-speech technology with a dual-tone multi-frequency (DTMF) interface to engage callers.\u201d IVR is based on programmed menu options, routing calls that cannot be answered to live representatives.<\/span><\/p>\n Virtual agents go beyond IVR technology as they don\u2019t rely on keyword matching to be effective. Instead, they allow customers to speak naturally and automatically detect multiple intents if a customer has several questions or switches topics quickly. Virtual support agents do not aim to deflect or re-route calls, but to resolve customer issues fully.<\/span><\/p>\n Organizations that are considering employing virtual agents should keep the following factors in mind before making a final selection:<\/span><\/p>\n Replicant\u2019s AI-driven solutions for contact centers welcome natural language conversations with customers. They can be trained to detect multiple intents, help to resolve customer issues quickly, and provide insights and analytics. Learn more about our <\/span>intelligent virtual agent<\/span><\/a> now. Let us help you improve the efficiency and effectiveness of your call center.<\/span><\/p>\n What are the different types of virtual agents?\u00a0 There are four different types of virtual…<\/p>\n","protected":false},"author":10,"featured_media":1572,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"acf":[],"yoast_head":"\n\n
What is a learning agent?<\/span><\/h2>\n
What\u2019s the difference between virtual agents and IVR?<\/span><\/h2>\n
What are the most important factors in selecting virtual agents?<\/span><\/h2>\n
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Replicant\u2019s Intelligent Solution<\/span><\/h2>\n