{"id":55221,"date":"2025-07-29T09:08:31","date_gmt":"2025-07-29T07:08:31","guid":{"rendered":"https:\/\/enreach.es\/?p=55221"},"modified":"2025-07-30T16:00:49","modified_gmt":"2025-07-30T14:00:49","slug":"customer-service-ai-10-more-important-definitions-you-need-to-know","status":"publish","type":"post","link":"https:\/\/enreach.es\/en\/blog\/customer-service-ai-10-more-important-definitions-you-need-to-know\/","title":{"rendered":"Customer service AI: 10 more important definitions you need to know"},"content":{"rendered":"<h5><strong>Level:<\/strong> Beginner<\/h5>\n<p>Artificial Intelligence is not only evolving at an <strong>incredibly fast pace<\/strong>, it also \u201cforces\u201d us to learn specific terminology in order to use it confidently \u2014 and even more importantly, to understand which <a href=\"https:\/\/enreach.es\/en\/customer-engagement\/cloud-omnichannel\/artificial-intelligence\/\" target=\"_blank\" rel=\"noopener\"><strong>AI solution for customer service<\/strong><\/a> we actually need.<\/p>\n<p>In this article, we\u2019ll break down <strong>ten of the most popular terms<\/strong> so you can start getting familiar with this technology and what it can do.<\/p>\n<ul class=\"menu-new\">\n<li><a title=\"Natural Language Processing (NLP)\" href=\"#natural_language_processing\">Natural Language Processing (NLP)<\/a><\/li>\n<li><a title=\"Large Language Models (LLMs)\" href=\"#large_language_models\">Large Language Models (LLMs)<\/a><\/li>\n<li><a title=\"Machine Learning (ML)\" href=\"#machine_learning\">Machine Learning (ML)<\/a><\/li>\n<li><a title=\"Deep Learning (DL)\" href=\"#deep_learning\">Deep Learning (DL)<\/a><\/li>\n<li><a title=\"Retrieval-Augmented Generation (RAG)\" href=\"#retrieval_augmented_generation\">Retrieval-Augmented Generation (RAG)<\/a><\/li>\n<li><a title=\"Sentiment analysis\" href=\"#sentiment_analysis\">Sentiment analysis<\/a><\/li>\n<li><a title=\"Copilots\" href=\"#copilots\">Copilots<\/a><\/li>\n<li><a title=\"AI agents\" href=\"#ai_agents\">AI agents<\/a><\/li>\n<li><a title=\"Hallucination\" href=\"#alucinacion\">Hallucination<\/a><\/li>\n<\/ul>\n<h2><strong>AI VOCABULARY FOR CUSTOMER SERVICE<\/strong><\/h2>\n<h3 id=\"natural_language_processing\"><strong>1. NATURAL LANGUAGE PROCESSING (NLP)<\/strong><\/h3>\n<p><strong>Natural Language Processing<\/strong> is a branch of AI focused on <strong>teaching machines to understand, interpret and generate human language<\/strong>, both written and spoken.<\/p>\n<p>Thanks to NLP, a system can <strong>read a text<\/strong>, <strong>recognise tone<\/strong> and <strong>respond appropriately<\/strong> \u2014 taking context into account and choosing the right words.<\/p>\n<h3 id=\"large_language_models\"><strong>2. LARGE LANGUAGE MODELS (LLMs)<\/strong><\/h3>\n<p>As part of NLP, <strong>Large Language Models<\/strong> are AI systems trained on vast amounts of text (books, articles, chats, websites, etc.) to enable machines to <strong>understand and communicate much like humans<\/strong>.<\/p>\n<p><strong>Customer service applications:<\/strong><\/p>\n<ul>\n<li><a href=\"https:\/\/enreach.es\/en\/customer-engagement\/cloud-omnichannel\/artificial-intelligence\/\" target=\"_blank\" rel=\"noopener\">Conversational chatbots<\/a><\/li>\n<li>Summarising calls or support tickets<\/li>\n<li>Auto-generating responses<\/li>\n<li><a href=\"https:\/\/enreach.es\/inteligencia-artificial-suite\/\" target=\"_blank\" rel=\"noopener\">Agent copilots<\/a><\/li>\n<\/ul>\n<h3 id=\"machine_learning\"><strong>4. MACHINE LEARNING (ML)<\/strong><\/h3>\n<p><strong>Machine learning<\/strong> is a method that enables machines to <strong>learn how to perform tasks by example<\/strong>.<\/p>\n<p>Once trained with a few examples and told what to look for, the system can <strong>extract data and generate responses<\/strong> based on what it\u2019s learnt.<\/p>\n<h3 id=\"deep_learning\"><strong>5. DEEP LEARNING (DL)<\/strong><\/h3>\n<p><strong>Deep learning<\/strong> is a more advanced form of <em>Machine Learning<\/em> that also teaches systems through examples \u2014 but <strong>without needing humans to define rules or variables in advance<\/strong>.<\/p>\n<p>It requires <strong>more data<\/strong>, but in return <strong>can recognise much more complex patterns with higher accuracy<\/strong>.<\/p>\n<p>As the name suggests, it\u2019s based on <strong>deep neural networks<\/strong>: structures made of <strong>interconnected layers<\/strong> that mimic how human neurons work.<\/p>\n<p>Each layer processes and transforms the information before passing it to the next \u2014 <strong>building a deeper understanding<\/strong> with every step.<\/p>\n<h3 id=\"retrieval_augmented_generation\"><strong>6. RETRIEVAL-AUGMENTED GENERATION (RAG)<\/strong><\/h3>\n<p><strong>Retrieval-Augmented Generation<\/strong> is a technique that <strong>combines LLMs<\/strong> with <strong>external data sources<\/strong> to allow the system to <strong>search for relevant information before crafting a response<\/strong>.<\/p>\n<p><strong>How does it work?<\/strong><\/p>\n<ol>\n<li><strong>The user asks a question<\/strong> (e.g., \u201cWhat\u2019s our returns policy?\u201d)<\/li>\n<li>The system <strong>searches an internal knowledge base<\/strong> (like CRM documentation)<\/li>\n<li>It extracts relevant snippets (e.g., \u201cpage 4 of the returns manual\u201d)<\/li>\n<li><strong>The system feeds that info to the LLM<\/strong><\/li>\n<li>The LLM <strong>generates a response<\/strong> using that data as context<\/li>\n<\/ol>\n<h3 id=\"sentiment_analysis\"><strong>7. SENTIMENT ANALYSIS<\/strong><\/h3>\n<p><strong>Sentiment analysis<\/strong> is an AI capability that detects <strong>the emotional tone of a message<\/strong> \u2014 whether positive, negative or neutral.<\/p>\n<p>AI models are trained on thousands of real-life examples labelled by sentiment. This helps them <strong>identify linguistic patterns<\/strong> that show whether someone is satisfied, angry, frustrated, and so on.<\/p>\n<h3 id=\"copilots\"><strong>8. COPILOTS<\/strong><\/h3>\n<p><em>Copilots<\/em> are <strong>smart assistants embedded in your everyday work tools<\/strong> (like <a href=\"https:\/\/enreach.es\/en\/customer-engagement\/cloud-omnichannel\/\" target=\"_blank\" rel=\"noopener\">contact centre platforms<\/a>, CRM, Word, email\u2026) that <strong>interact with you in real time<\/strong>.<\/p>\n<p>They can <strong>translate<\/strong> messages, <strong>write<\/strong> emails, <strong>summarise<\/strong> meetings, <strong>analyse<\/strong> documents \u2014 and more.<\/p>\n<p>They rely on four key components:<\/p>\n<ul>\n<li><strong>Large Language Models (LLMs):<\/strong> to understand instructions and generate content<\/li>\n<li><strong>Natural Language Processing (NLP):<\/strong> to interpret user intent<\/li>\n<li><strong>Retrieval-Augmented Generation (RAG):<\/strong> to search external data sources<\/li>\n<li><strong>Integrations:<\/strong> to create tickets in a CRM, populate emails, etc.<\/li>\n<\/ul>\n<h3 id=\"ai_agents\"><strong>9. AI AGENTS<\/strong><\/h3>\n<p><strong>AI agents<\/strong> are the next step after <a href=\"https:\/\/enreach.es\/en\/customer-engagement\/customer-service-chatbot\/\" target=\"_blank\" rel=\"noopener\"><strong>chatbots<\/strong><\/a> and <strong>voicebots<\/strong>. Unlike their predecessors, they\u2019re powered entirely by <strong>generative AI<\/strong>, so they can respond and solve problems <em>without following a fixed conversation flow<\/em>.<\/p>\n<p>They work thanks to five main components:<\/p>\n<ul>\n<li><strong>Large Language Models (LLMs):<\/strong> for generating text, making decisions, and orchestrating actions<\/li>\n<li><strong>Retrieval-Augmented Generation (RAG):<\/strong> to fetch external information<\/li>\n<li><strong>Memory:<\/strong> to store data and past interaction history<\/li>\n<li><strong>Tools:<\/strong> integrations that let them make changes in external systems<\/li>\n<li><strong>Planning:<\/strong> to break down complex tasks into simpler steps<\/li>\n<\/ul>\n<p>All this comes together seamlessly every time a user makes a request.<\/p>\n<h3 id=\"alucinacion\"><strong>10. HALLUCINATION<\/strong><\/h3>\n<p>When we say a bot \u201challucinates\u201d, we mean it <strong>generates a response that sounds right \u2014 but isn\u2019t<\/strong>.<\/p>\n<p>This happens when the model <strong>lacks context<\/strong> or relies on a <strong>poorly organised knowledge base<\/strong>.<\/p>\n<p><strong>How can we prevent it?<\/strong><\/p>\n<ul>\n<li>Use <strong>RAG techniques<\/strong> to ensure responses are grounded in real, verified information<\/li>\n<li><strong>Organise content by topic or workflow<\/strong> so the system retrieves the most relevant data<\/li>\n<li>Configure the bot to <strong>escalate to a human agent<\/strong> when unsure<\/li>\n<\/ul>\n<h2><strong>FINAL THOUGHTS<\/strong><\/h2>\n<p>For a bot to <strong>support your customers<\/strong> or <strong>assist your agents<\/strong>, it needs the right mix of capabilities:<\/p>\n<ul>\n<li><strong>NLP and LLMs<\/strong> to read and interpret human language<\/li>\n<li><strong>Machine Learning<\/strong> to improve with each interaction<\/li>\n<li><strong>Deep Learning<\/strong> to uncover complex patterns in data<\/li>\n<li><strong>RAG<\/strong> to access external knowledge sources<\/li>\n<\/ul>\n<h2><strong>WE\u2019LL HELP YOU FIND THE AI THAT ELEVATES YOUR CONTACT CENTRE<\/strong><\/h2>\n<p>Today, when everyone\u2019s talking about AI, you need a team that truly understands how to make it work for your industry \u2014 backed by over 20 years of experience.<\/p>\n<p>Our experts are just on the other side of this form.<\/p>\n<div id=\"formulario\" class=\"hs-form\"><script charset=\"utf-8\" type=\"text\/javascript\" src=\"\/\/js-eu1.hsforms.net\/forms\/embed\/v2.js\"><\/script><br \/>\n<script>\n  hbspt.forms.create({\n    region: \"eu1\",\n    portalId: \"25868881\",\n    formId: \"37d106ea-e12c-4300-8491-f82296dc2405\"\n  });\n<\/script><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Level: Beginner Artificial Intelligence is not only evolving at an incredibly fast pace, it also \u201cforces\u201d us to learn specific terminology in order to use it confidently \u2014 and even more importantly, to understand which AI solution for customer service we actually need. In this article, we\u2019ll break down ten of the most popular terms&#8230;  <a class=\"excerpt-read-more\" href=\"https:\/\/enreach.es\/en\/blog\/customer-service-ai-10-more-important-definitions-you-need-to-know\/\" title=\"Read Customer service AI: 10 more important definitions you need to know\">Read more &raquo;<\/a><\/p>\n","protected":false},"author":1,"featured_media":55196,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","footnotes":""},"categories":[5191],"tags":[],"class_list":["post-55221","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-smart-contact-center"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.7 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Customer service AI: 10 more important definitions you need to know - Enreach ES<\/title>\n<meta name=\"description\" content=\"Discover 10 key AI terms every contact centre needs to know. 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