{"id":215396,"date":"2025-02-16T08:13:33","date_gmt":"2025-02-16T08:13:33","guid":{"rendered":"https:\/\/monday.com\/blog\/?p=215396"},"modified":"2026-02-25T04:53:28","modified_gmt":"2026-02-25T09:53:28","slug":"ai-customer-service","status":"publish","type":"post","link":"https:\/\/monday.com\/blog\/service\/ai-customer-service\/","title":{"rendered":"Deliver exceptional support faster with AI customer service"},"content":{"rendered":"","protected":false},"excerpt":{"rendered":"","protected":false},"author":212,"featured_media":217327,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"pages\/cornerstone-primary.php","format":"standard","meta":{"_acf_changed":false,"_yoast_wpseo_title":"AI in Customer Service: A Guide + 10 Examples","_yoast_wpseo_metadesc":"AI in customer service is helping teams work more productively and boost customer satisfaction. Read on for examples of how it\u2019s being used today.","monday_item_id":10045721367,"monday_board_id":0,"footnotes":"","_links_to":"","_links_to_target":""},"categories":[14031],"tags":[],"class_list":["post-215396","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-service"],"acf":{"sections":[{"acf_fc_layout":"content_1","blocks":[{"main_heading":"","content_block":[{"acf_fc_layout":"text","content":"<p class=\"p1\">Artificial intelligence in customer service has come a long way in the last few years alone to power modern customer experiences and improve service levels across a range of industries. What started as AI-powered chatbots that could only answer straightforward questions has blossomed into a variety of AI customer service tools that are changing the way teams operate.<\/p>\n<p class=\"p1\">Thanks to AI, human support teams can work smarter, quicker, and more efficiently than before. Many software solutions are offering AI features, making these powerful tools for customer service accessible to businesses of any size.<\/p>\n<p class=\"p1\">This post will take a closer look at AI customer service, including its benefits, types of AI in service, and how software like monday service is bringing AI to the forefront.<\/p>\n<p><iframe loading=\"lazy\" title=\"monday service overview | monday.com tutorials\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/8zIeFO_Fj30?start=140&#038;feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/p>\n<p>&nbsp;<\/p>\n"},{"acf_fc_layout":"image","image_type":"normal","image":false,"image_link":{"title":"","url":"https:\/\/auth.monday.com\/p\/service\/users\/sign_up_new","target":"_blank"}}]},{"main_heading":"What is AI customer service?","content_block":[{"acf_fc_layout":"text","content":"<p class=\"p1\">AI, or artificial intelligence, is a smart technology that creates opportunities for personalized, quick, and efficient experiences in customer service. With AI customer service software, companies can easily automate workflows, send instant responses, sort through knowledge base content, and a lot more without relying on manpower or budget increases.<\/p>\n<p class=\"p1\">There are many ways AI is currently being used in <a href=\"https:\/\/monday.com\/blog\/service\/what-is-service-management\/\" target=\"_blank\" rel=\"noopener\"><span class=\"s1\">service management<\/span><\/a>, which we\u2019ll get into later on in this article, but what\u2019s important to remember is that AI isn\u2019t meant to replace human agents, but rather assist them.<\/p>\n<blockquote>\n<p class=\"p1\">With the introduction of AI agents and AI-powered workflows, agents can work smarter, not harder, while AI does the heavy lifting when it comes to manual, repetitive tasks.<\/p>\n<\/blockquote>\n"}]},{"main_heading":"Key benefits of using AI in customer service","content_block":[{"acf_fc_layout":"text","content":"<p class=\"p1\">According to a study by Gartner, <a href=\"https:\/\/www.gartner.com\/en\/newsroom\/press-releases\/2023-08-30-gartner-reveals-three-technologies-that-will-transform-customer-service-and-support-by-2028\" target=\"_blank\" rel=\"noopener\"><span class=\"s1\">80% of customer service and support teams<\/span><\/a> are estimated to be using generative AI to improve their customer support process. When AI is at work alongside customer service teams, everybody wins: companies, customers, and employees, too. Here\u2019s a closer look at some of the key benefits of <a href=\"https:\/\/monday.com\/blog\/project-management\/ai-integration\/\">integrating AI technologies<\/a> in customer service departments.<\/p>\n<h3 class=\"p2\">Boosts customer satisfaction<\/h3>\n<p class=\"p1\">One of the main reasons more and more companies are turning to AI in their customer service operations is that, at the end of the day, it\u2019s improving <a href=\"https:\/\/monday.com\/blog\/crm-and-sales\/customer-satisfaction\/\" target=\"_blank\" rel=\"noopener\"><span class=\"s1\">customer satisfaction<\/span><\/a>. With 24\/7 service, quicker response times, and decreased wait times, service teams can meet customer expectations by implementing AI software to address complex questions throughout the customer journey in real-time.<\/p>\n<h3 class=\"p2\">Increases productivity<\/h3>\n<p class=\"p1\">With AI taking the reigns on handling straightforward and common queries, either through a customer service chatbot or another <a href=\"https:\/\/monday.com\/blog\/service\/customer-portal\/\">self-help portal<\/a>, <a href=\"https:\/\/monday.com\/blog\/ai-agents\/ai-agent-for-customer-service\/\">customer service agents<\/a> can focus their efforts elsewhere. Agents can work on solving more complex issues that require more strategy, attention, and creativity, increasing productivity overall as every customer gets the answer they\u2019re looking for.<\/p>\n"},{"acf_fc_layout":"colored_notification","text":"<p><span style=\"font-weight: 400;\">Discover how to automate smarter, work faster, and make better decisions using monday AI Blocks, with a short lesson in monday academy. <\/span><a href=\"https:\/\/monday.com\/academy\/view\/lesson\/monday-ai-blocks?utm_medium=mondayblog&amp;utm_source=blogtext&amp;utm_campaign=AI-blocks-lesson\"><span style=\"font-weight: 400;\">Learn how to use monday\u2019s AI Blocks.<\/span><\/a><\/p>\n","quote":false,"author":"","position":"","avatar":false},{"acf_fc_layout":"text","content":"<h3 class=\"p2\">Enhances personalized experiences<\/h3>\n<p class=\"p1\">AI isn\u2019t only helpful when it comes to getting quick answers, but through various interactions with customers, these systems can actually learn through customer history, behavior, and preferences. Armed with a constant stream of fresh insights that come directly from customers themselves, companies can better tailor products and customer service solutions to each client\u2019s specific needs.<\/p>\n<h3 class=\"p2\">Scales as needed<\/h3>\n<p class=\"p1\">Some periods are busier than others, such as peak sales seasons around the holidays. To manage the increase in volume and maintain SLAs, businesses need to aggressively onboard and train new agents. However, with customer service solutions like <a href=\"https:\/\/monday.com\/blog\/service\/ai-copilot\/\">AI-powered agents<\/a>, support teams can more easily scale without drastically increasing manpower, leaving resources available where they\u2019re most needed.<\/p>\n<h3 class=\"p2\">Improves employee satisfaction<\/h3>\n<p class=\"p1\">According to research, <a href=\"https:\/\/www.sqmgroup.com\/resources\/library\/blog\/call-center-burnout-rate-problem\" target=\"_blank\" rel=\"nofollow noopener\"><span class=\"s1\">63% of contact center agents<\/span><\/a> have experienced burnout, making this high-stress job a weak spot for many companies. However, agents who work alongside AI systems are likely to feel more satisfied with their jobs. By eliminating repetitive, manual, and time-consuming work, like answering customer requests for routine inquiries, agents can work on more stimulating tasks that involve critical thinking and creative problem-solving.<\/p>\n<h3 class=\"p2\">Streamlines operations<\/h3>\n<p class=\"p1\">Another way AI can benefit customer service teams is that it provides a framework for streamlining contact center operations. With AI initially sorting tickets as they come in, it\u2019s easier for teams to address the most urgent customer service issues sooner, avoiding escalations before they arise. Additionally, by gathering data and analytics from resolved tickets, AI customer service software can deliver custom reports that provide deep insights into areas for improvement so teams can make adjustments where needed.<\/p>\n"}]},{"main_heading":"10 examples of AI use cases in customer service","content_block":[{"acf_fc_layout":"text","content":"<blockquote>\n<p class=\"p1\">According to <a href=\"https:\/\/learn.monday.com\/hubfs\/World_of_work_report.pdf\" target=\"_blank\" rel=\"noopener\"><span class=\"s1\">monday.com\u2019s World of Work Report<\/span><\/a>, customer support remains the sector with the lowest adoption rate of AI technologies.<\/p>\n<\/blockquote>\n<p class=\"p1\">Considering all the ways AI can be used to enhance both customer and employee experiences, service teams who don\u2019t adopt artificial intelligence technologies risk falling behind their competitors. Below, we\u2019ll look at different ways AI is used in customer service teams and how it can be adopted to gain a competitive advantage.<\/p>\n<h3 class=\"p2\">1. AI agents<\/h3>\n<p class=\"p1\">AI agents learn from customer interactions to be able to solve customer inquiries, answer questions, and make decisions without any human intervention. This type of AI learns with every interaction, meaning it improves the more it\u2019s used, giving your agents more time to dedicate to more complex issues that require a human touch.<\/p>\n<h3 class=\"p2\">2. Workflow automations<\/h3>\n"},{"acf_fc_layout":"image","image_type":"normal","image":215397,"image_link":""},{"acf_fc_layout":"text","content":"<p class=\"p1\">In customer service solutions, AI is used to build smart workflow automations that can help teams work smarter with fewer resources. For example, AI can automatically summarize customer conversations and incoming support tickets, making it easier for multiple agents and departments to get updated on a customer case with minimal back-and-forth.<\/p>\n<h3 class=\"p2\">3. Knowledge base recommendation<\/h3>\n<p class=\"p1\">Agents can work faster by accessing the most relevant responses in knowledge base articles, allowing them to answer customers quickly and solve problems with greater accuracy. For companies with a wide knowledge base of help-related articles, software like monday service comes equipped with <a href=\"https:\/\/monday.com\/blog\/service\/ai-service-management\/\">AI-powered knowledge base assistance<\/a>, which can recommend database articles to you based on your actions or keywords.<\/p>\n<a class=\"cta-button blue-button\" aria-label=\"Try monday service\" href=\"https:\/\/auth.monday.com\/p\/service\/users\/sign_up_new\" target=\"_self\">Try monday service<\/a>\n<h3 class=\"p2\">4. Sentiment analysis<\/h3>\n<p class=\"p1\">Through language models and conversational AI technologies like natural language processing (NLP), machine learning, and natural language understanding (NLU), companies can parse through the sentiment in each customer inquiry. This can make it easier to identify more urgent complaints or customers who are at risk of leaving, allowing agents to prioritize specific tickets and get more insight into overall customer sentiment with both a company and service levels.<\/p>\n<h3 class=\"p2\">5. Chatbots<\/h3>\n<p class=\"p1\">AI-led chatbots operate around the clock to answer customers even when your support team isn\u2019t working. Thanks to AI, customers can get quick answers to basic questions in their preferred language, track their orders, get <a href=\"https:\/\/monday.com\/blog\/service\/ai-in-inventory-management\/\">updates on inventory<\/a>, and even product recommendations instantly without waiting for a response.<\/p>\n<h3 class=\"p2\">6. Self-service solutions<\/h3>\n<p class=\"p1\">Customer-facing knowledge bases, FAQs, or personalized customer portals use AI to help customers find answers to their queries. As a first step before reaching out to a human agent, these self-service solutions can reduce the quantity of inquiries support departments receive.<\/p>\n<h3 class=\"p2\">7. Predictive analytics<\/h3>\n<p class=\"p1\">AI can use the data it gathers from customer interactions, resolved cases, and customer messages from different channels to predict customer needs. By learning more about customer behavior, AI can help alert teams to peak busy periods to make resource and workforce allocation more accurate.<\/p>\n<h3 class=\"p2\">8. Smart routing<\/h3>\n"},{"acf_fc_layout":"image","image_type":"normal","image":215404,"image_link":""},{"acf_fc_layout":"text","content":"<p class=\"p1\">With a customer service platform like monday service, AI-driven smart routing features use AI to assess the urgency, category, and department of each inquiry, routing them to the right customer support agents. This way, customers are getting faster service from the right agent or department, while agents don\u2019t need to spend time manually sorting through incoming tickets.<\/p>\n<h3 class=\"p2\">9. Generative AI<\/h3>\n<p class=\"p1\">Generative AI can help customer service reps improve response times with templated email responses to messages, offering replies that mimic human language to commonly asked questions. Not only that, but generative AI can also create content to fill in articles in knowledge bases so employees don\u2019t need to spend time creating articles from scratch and can focus instead on resolving tickets.<\/p>\n<h3 class=\"p2\">10. Digital twins<\/h3>\n<p class=\"p1\">Managers can use AI to create digital twins, or virtual models, of various business-related assets, such as customer support team formations, workflows, or approval systems. This helps managers visualize what certain changes will look like before they\u2019re implemented, empowering them to make smarter decisions and adjustments that are informed by data.<\/p>\n"}]},{"main_heading":"Improve customer service with monday service AI-powered software","content_block":[{"acf_fc_layout":"text","content":"<p class=\"p1\">When it comes to customer service software, you want to make sure you\u2019re using an <a href=\"https:\/\/monday.com\/blog\/project-management\/top-ai-platforms\/\">AI platform<\/a> that strikes a balance between AI functionality and customization. The solution you use should fit your team\u2019s existing workflows and blend in seamlessly with procedures for handling tickets, escalations, or requesting approvals.<\/p>\n<p class=\"p1\"><span class=\"s1\"><a href=\"https:\/\/monday.com\/w\/service\" target=\"_blank\" rel=\"noopener\">monday service<\/a><\/span> is a robust platform that offers flexibility without sacrificing ease of use or functionality. As an AI-powered tool for customer service, monday service helps teams work more proactively to deliver a world-class customer support experience without adding any strain on the workforce or resources.<\/p>\n<p class=\"p1\">Let\u2019s take a closer look at some of monday service\u2019s standout AI features and tools for customer service.<\/p>\n<h3 class=\"p3\">Automated ticketing and ticket routing<\/h3>\n"},{"acf_fc_layout":"image","image_type":"normal","image":false,"image_link":""},{"acf_fc_layout":"text","content":"<p class=\"p1\">monday service uses <a href=\"https:\/\/monday.com\/blog\/service\/ai-ticketing\/\">AI for its smart ticketing features<\/a>. AI can instantly classify and sort incoming tickets and then route them to the right person or department, saving agents tons of time and helping them prioritize complex queries.<\/p>\n<h3 class=\"p2\">Agent knowledge base assistance<\/h3>\n"},{"acf_fc_layout":"image","image_type":"normal","image":false,"image_link":""},{"acf_fc_layout":"text","content":"<p class=\"p1\">Agents can easily pull up knowledge base articles to address customer queries, whether it\u2019s a refresher on a specific procedure or a walk-through for more complex customer issues. With quick access to knowledge base content, agents can provide more timely and accurate responses.<\/p>\n<h3 class=\"p2\">Support desk dashboard and analytics<\/h3>\n"},{"acf_fc_layout":"image","image_type":"normal","image":false,"image_link":""},{"acf_fc_layout":"text","content":"<p class=\"p1\">Keep track of customer support team performance, ticket statuses, resolution times, and other metrics in one glance with a detailed and customizable dashboard. Track issues before they escalate with real-time analytics and valuable insights, and generate reports to inform high-level decision-making.<\/p>\n<h3 class=\"p2\">Self-service customer experiences<\/h3>\n"},{"acf_fc_layout":"image","image_type":"normal","image":false,"image_link":""},{"acf_fc_layout":"text","content":"<p class=\"p1\">Empower customers to solve their issues independently with monday service\u2019s self-help options. AI can help customers access help-related content, generate answers to common customer concerns on incoming tickets, and use AI agents to resolve issues with human intervention.<\/p>\n<h3>Advanced user management<\/h3>\n<p>Enable external users to self-register for your service portal, streamlining interactions and onboarding for organizations with multiple users.<\/p>\n<h3>Multi-portal support<\/h3>\n<p>Leverage a customizable portal builder to create and manage multiple service portals from a single platform, providing seamless support for diverse service teams.<\/p>\n"},{"acf_fc_layout":"image","image_type":"normal","image":216280,"image_link":""},{"acf_fc_layout":"image","image_type":"normal","image":false,"image_link":{"title":"","url":"https:\/\/auth.monday.com\/p\/service\/users\/sign_up_new","target":""}}]},{"main_heading":"What to consider when implementing AI in customer service","content_block":[{"acf_fc_layout":"text","content":"<p class=\"p1\">Implementing AI software in customer support departments requires careful planning to maximize efficiency while maintaining a positive experience for both customers and employees. Key considerations include:<\/p>\n<ul class=\"ul1\">\n<li class=\"li1\"><b>Data security:<\/b> Ensure compliance with regulations like GDPR and CCPA by implementing encryption and access controls<\/li>\n<li class=\"li1\"><b>Integration with existing systems:<\/b> AI should seamlessly work with your <a href=\"https:\/\/monday.com\/blog\/crm-and-sales\/crm-software\/\" target=\"_blank\" rel=\"noopener\"><span class=\"s2\">CRM software<\/span><\/a> and other communication platforms<\/li>\n<li class=\"li1\"><b>Customer service experience:<\/b> Balance automation with human support to prevent frustration and enhance <a href=\"https:\/\/monday.com\/blog\/crm-and-sales\/customer-engagement\/\" target=\"_blank\" rel=\"noopener\"><span class=\"s2\">customer engagements<\/span><\/a><\/li>\n<li class=\"li1\"><b>Ethical AI use:<\/b> Train AI with diverse data sets to avoid biased or inaccurate responses<\/li>\n<li class=\"li1\"><b>Scalability and maintenance:<\/b> Choose a solution that can scale with business growth and requires minimal intervention<\/li>\n<li class=\"li1\"><b>Monitor and optimize:<\/b> Continuously track AI effectiveness through KPIs and <a href=\"https:\/\/monday.com\/blog\/crm-and-sales\/customer-feedback-analysis\/\" target=\"_blank\" rel=\"noopener\"><span class=\"s2\">customer feedback<\/span><\/a> to make improvements<\/li>\n<\/ul>\n"}]},{"main_heading":"The future of AI customer service","content_block":[{"acf_fc_layout":"text","content":"<p class=\"p1\">As AI becomes more widely adopted in the world of customer support, technologies will continue to evolve. In the future, we can expect to see systems that are even more powerful and accurate, along with <a href=\"https:\/\/monday.com\/blog\/crm-and-sales\/customer-support-vs-customer-service\/\">multichannel customer support<\/a> that use AI to weave customer experiences together across different channels. With a platform like monday service, companies can benefit from advanced technology that is accessible to employees and customers of any technical background, allowing them to provide exceptional service around the clock.<\/p>\n<div class=\"accordion faq\" id=\"faq-1\">\n  <h2 class=\"accordion__heading section-title text-left\">FAQs<\/h2>\n    <div class=\"accordion__item\">\n    <a class=\"accordion__button d-block\" data-toggle=\"collapse\" data-parent=\"#faq-1\" href=\"#q-1-1\"\n      aria-expanded=\"false\">\n      <h3 class=\"accordion__question\">Is AI in customer service safe?        <svg class=\"angle-arrow angle-arrow--down\" width=\"32\" height=\"32\" viewBox=\"0 0 32 32\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\">\n          <path fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M16.5303 20.8839C16.2374 21.1768 15.7626 21.1768 15.4697 20.8839L7.82318 13.2374C7.53029 12.9445 7.53029 12.4697 7.82318 12.1768L8.17674 11.8232C8.46963 11.5303 8.9445 11.5303 9.2374 11.8232L16 18.5858L22.7626 11.8232C23.0555 11.5303 23.5303 11.5303 23.8232 11.8232L24.1768 12.1768C24.4697 12.4697 24.4697 12.9445 24.1768 13.2374L16.5303 20.8839Z\" fill=\"black\"\/>\n        <\/svg>\n      <\/h3>\n    <\/a>\n    <div id=\"q-1-1\" class=\"accordion__answer collapse collapse--md\" data-parent=\"#faq-1\">\n      <p>AI in customer service is generally safe if implemented with proper security measures, such as data encryption, access controls, and compliance with privacy regulations. However, it\u2019s still important to have a plan in place for risks like data breaches.<\/p>\n    <\/div>\n  <\/div>\n    <div class=\"accordion__item\">\n    <a class=\"accordion__button d-block\" data-toggle=\"collapse\" data-parent=\"#faq-1\" href=\"#q-1-2\"\n      aria-expanded=\"false\">\n      <h3 class=\"accordion__question\">How can you secure data while using AI in customer service?        <svg class=\"angle-arrow angle-arrow--down\" width=\"32\" height=\"32\" viewBox=\"0 0 32 32\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\">\n          <path fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M16.5303 20.8839C16.2374 21.1768 15.7626 21.1768 15.4697 20.8839L7.82318 13.2374C7.53029 12.9445 7.53029 12.4697 7.82318 12.1768L8.17674 11.8232C8.46963 11.5303 8.9445 11.5303 9.2374 11.8232L16 18.5858L22.7626 11.8232C23.0555 11.5303 23.5303 11.5303 23.8232 11.8232L24.1768 12.1768C24.4697 12.4697 24.4697 12.9445 24.1768 13.2374L16.5303 20.8839Z\" fill=\"black\"\/>\n        <\/svg>\n      <\/h3>\n    <\/a>\n    <div id=\"q-1-2\" class=\"accordion__answer collapse collapse--md\" data-parent=\"#faq-1\">\n      <p>Your company can secure data by using encryption, strict access controls, and complying with standards like GDPR. Regular audits and monitoring AI for vulnerabilities also helps maintain security.<\/p>\n    <\/div>\n  <\/div>\n    <div class=\"accordion__item\">\n    <a class=\"accordion__button d-block\" data-toggle=\"collapse\" data-parent=\"#faq-1\" href=\"#q-1-3\"\n      aria-expanded=\"false\">\n      <h3 class=\"accordion__question\">Will CSMs be replaced by AI?        <svg class=\"angle-arrow angle-arrow--down\" width=\"32\" height=\"32\" viewBox=\"0 0 32 32\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\">\n          <path fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M16.5303 20.8839C16.2374 21.1768 15.7626 21.1768 15.4697 20.8839L7.82318 13.2374C7.53029 12.9445 7.53029 12.4697 7.82318 12.1768L8.17674 11.8232C8.46963 11.5303 8.9445 11.5303 9.2374 11.8232L16 18.5858L22.7626 11.8232C23.0555 11.5303 23.5303 11.5303 23.8232 11.8232L24.1768 12.1768C24.4697 12.4697 24.4697 12.9445 24.1768 13.2374L16.5303 20.8839Z\" fill=\"black\"\/>\n        <\/svg>\n      <\/h3>\n    <\/a>\n    <div id=\"q-1-3\" class=\"accordion__answer collapse collapse--md\" data-parent=\"#faq-1\">\n      <p>AI can automate many of the repetitive tasks customer service managers perform, but the human touch is still essential for complex queries, relationship management, and strategic routine tasks rather than fully replace CSMs.<\/p>\n    <\/div>\n  <\/div>\n  <script type='application\/ld+json'>{\n    \"@context\": \"https:\\\/\\\/schema.org\",\n    \"@type\": \"FAQPage\",\n    \"mainEntity\": [\n        {\n            \"@type\": \"Question\",\n            \"name\": \"Is AI in customer service safe?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"<p>AI in customer service is generally safe if implemented with proper security measures, such as data encryption, access controls, and compliance with privacy regulations. However, it\\u2019s still important to have a plan in place for risks like data breaches.<\\\/p>\\n\"\n            }\n        },\n        {\n            \"@type\": \"Question\",\n            \"name\": \"How can you secure data while using AI in customer service?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"<p>Your company can secure data by using encryption, strict access controls, and complying with standards like GDPR. Regular audits and monitoring AI for vulnerabilities also helps maintain security.<\\\/p>\\n\"\n            }\n        },\n        {\n            \"@type\": \"Question\",\n            \"name\": \"Will CSMs be replaced by AI?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"<p>AI can automate many of the repetitive tasks customer service managers perform, but the human touch is still essential for complex queries, relationship management, and strategic routine tasks rather than fully replace CSMs.<\\\/p>\\n\"\n            }\n        }\n    ]\n}<\/script><\/div>\n\n"}]}]}],"lobby_image":false,"post_thumbnail_title":"","hide_post_info":false,"hide_bottom_cta":false,"hide_from_blog":false,"landing_page_layout":false,"hide_time_to_read":false,"sidebar_color_banner":"","custom_tags":false,"disclaimer":"","cornerstone_hero_cta_override":{"label":"","url":""},"cluster":"","display_dates":"updated","featured_image_link":"","faqs":[{"faq_title":"FAQs","faq_shortcode":"1","faq":[{"question":"Is AI in customer service safe?","answer":"<p>AI in customer service is generally safe if implemented with proper security measures, such as data encryption, access controls, and compliance with privacy regulations. However, it\u2019s still important to have a plan in place for risks like data breaches.<\/p>\n"},{"question":"How can you secure data while using AI in customer service?","answer":"<p>Your company can secure data by using encryption, strict access controls, and complying with standards like GDPR. Regular audits and monitoring AI for vulnerabilities also helps maintain security.<\/p>\n"},{"question":"Will CSMs be replaced by AI?","answer":"<p>AI can automate many of the repetitive tasks customer service managers perform, but the human touch is still essential for complex queries, relationship management, and strategic routine tasks rather than fully replace CSMs.<\/p>\n"}]}],"activate_cta_banner":false,"banner_url":"","main_text_banner":"","sub_title_banner":"","sub_title_banner_second":"","banner_button_text":"","below_banner_line":"","use_customized_cta":false,"custom_schema_code":"","parse_from_google_doc":false,"show_contact_sales_button":"default","post_date":"20250521","custom_header_banner":false,"menu_cta_override":{"label":"","url":""},"override_contact_sales_label":"","override_contact_sales_url":"","show_sidebar_sticky_banner":false},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v26.6 (Yoast SEO v26.6) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>AI in Customer Service: A Guide + 10 Examples<\/title>\n<meta name=\"description\" content=\"AI in customer service is helping teams work more productively and boost customer satisfaction. Read on for examples of how it\u2019s being used today.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/monday.com\/blog\/service\/ai-customer-service\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Deliver exceptional support faster with AI customer service\" \/>\n<meta property=\"og:description\" content=\"AI in customer service is helping teams work more productively and boost customer satisfaction. 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