{"id":63,"date":"2025-03-24T11:21:42","date_gmt":"2025-03-24T11:21:42","guid":{"rendered":"https:\/\/indigitall.com\/?page_id=63"},"modified":"2026-10-30T14:01:44","modified_gmt":"2026-10-30T14:01:44","slug":"indigitall-ai","status":"publish","type":"page","link":"https:\/\/indigitall.com\/en\/indigitall-ai\/","title":{"rendered":"indigitall AI &#8211; Powerful AI for Greater Omnichannel Strategies"},"content":{"rendered":"","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false},"class_list":["post-63","page","type-page","status-publish","hentry"],"acf":{"flexible_content":[{"acf_fc_layout":"hero_page","background_type":"image","dark_filter":0,"background_image":2483,"background_image_mobile":2480,"background_video":null,"background_video_mobile":null,"pretitle":"indigitall AI","pretitle_font_size":"","title":"Discover How Omni AI Transforms Complex Data into Seamless Customer Journeys.","title_font_size":"","subtitle":"","subtitle_font_size":"","button_1":{"title":"","url":"#getstarted","target":""},"button_2":{"title":"Watch demo","url":"https:\/\/indigitall.com\/en\/schedule-time\/","target":"_blank"},"icon_button_2":null,"download_ebook":false,"ebook_title":"","extra_content":"brands","title_cards":"","cards":null,"brands_custom_background_color":false,"brands_background_color":"","custom_brands":false,"brands":null},{"acf_fc_layout":"sections_fixed_images","design":"normal","title":"indigitall Omni Agentic AI","link":"","sections":[{"title":"AI Agents","subtitle":"AI That Feels Human","index":"01","text":"An intelligent, autonomous system that perceives its environment, reasons to make decisions, and executes proactive actions via the Model Context Protocol (MCP) to achieve specific business goals.","link":"","list":null,"tag":"","media_type":"image","image":9480,"image_mobile":null,"video":null,"video_mobile":null},{"title":"Multi-Agents","subtitle":"Agents That Take Action","index":"02","text":"Direct user inquiries to specialized bots or modules based on specific needs to resolve complex workflows efficiently","link":"","list":null,"tag":"","media_type":"image","image":11084,"image_mobile":null,"video":null,"video_mobile":null},{"title":"Contact Center","subtitle":"AI Assistant for Support Agents","index":"03","text":"Our AI assistants support human agents through conversation summaries, suggested responses, and seamless bot-to-human transfers to optimize customer service efficiency","link":"","list":null,"tag":"","media_type":"image","image":11129,"image_mobile":null,"video":null,"video_mobile":null}],"list_collapsed":false},{"acf_fc_layout":"sections_fixed_images","design":"normal","title":"indigitall Omni Predictive AI","link":"","sections":[{"title":"Smart A\/B Testing","subtitle":"Testing","index":"01","text":"AI-driven A\/B testing ensures your campaigns are smart, reliable, and deliver maximum results.","link":"","list":null,"tag":"","media_type":"image","image":2502,"image_mobile":null,"video":null,"video_mobile":null},{"title":"Best Delivery Time","subtitle":"Delivery time","index":"02","text":"Automatically send at the time your customers are most likely to interact and convert, our best delivery time solution delivers.","link":"","list":null,"tag":"","media_type":"image","image":2505,"image_mobile":null,"video":null,"video_mobile":null},{"title":"Best Channel","subtitle":"Channel Delivery","index":"03","text":"Automatically send to the channels your customers are most likely to interact and convert, our best channel solution delivers.","link":"","list":null,"tag":"","media_type":"image","image":7556,"image_mobile":null,"video":null,"video_mobile":null},{"title":"Best Path","subtitle":"Full Journey Optimization","index":"04","text":"Drive customers on the customer journey path that produces the best results with indigitall best path optimization.","link":"","list":null,"tag":"","media_type":"image","image":7561,"image_mobile":null,"video":null,"video_mobile":null},{"title":"Discover the Best Keyword","subtitle":"Keywords","index":"05","text":" Finding the right words has never been easier.  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}\r\n  #indi-iai-en-more .d-body { padding: 0 24px 32px; }\r\n}\r\n@media (max-width: 760px) {\r\n  #indi-iai-en-more .d-wrap { padding: 40px 16px !important; }\r\n  #indi-iai-en-more details.d-dd > summary { padding: 16px; gap: 16px; }\r\n  #indi-iai-en-more h2.d-h2 { font-size: 17px !important; }\r\n  #indi-iai-en-more .d-body { padding: 0 16px 24px; gap: 16px; }\r\n  #indi-iai-en-more .d-cards.d-2, #indi-iai-en-more .d-cards.d-3, #indi-iai-en-more .d-cards.d-4, #indi-iai-en-more ol.d-steps, #indi-iai-en-more ol.d-steps.d-s2, #indi-iai-en-more ol.d-steps.d-s3, #indi-iai-en-more ul.d-checks, #indi-iai-en-more .d-split { grid-template-columns: 1fr; }\r\n  #indi-iai-en-more .d-card { padding: 16px; }\r\n  #indi-iai-en-more .d-note { padding: 16px; }\r\n  #indi-iai-en-more .d-flow { flex-direction: column; align-items: flex-start; padding: 16px; }\r\n  #indi-iai-en-more .d-arrow { transform: rotate(90deg); margin-left: 16px; }\r\n  #indi-iai-en-more table.d-table, #indi-iai-en-more table.d-table tbody, #indi-iai-en-more table.d-table tr, #indi-iai-en-more table.d-table td { display: block; width: 100%; }\r\n  #indi-iai-en-more table.d-table { border: 0; border-radius: 0; overflow: visible; background: transparent; }\r\n  #indi-iai-en-more table.d-table thead { position: absolute; width: 1px; height: 1px; overflow: hidden; clip: rect(0 0 0 0); white-space: nowrap; }\r\n  #indi-iai-en-more table.d-table thead tr, #indi-iai-en-more table.d-table thead th { display: block; width: 1px; height: 1px; padding: 0; overflow: hidden; }\r\n  #indi-iai-en-more table.d-table tr { border: 1px solid #E6ECF4; border-radius: 12px; overflow: hidden; margin-bottom: 16px; background: #FFFFFF; }\r\n  #indi-iai-en-more table.d-table tbody tr:nth-child(even) td { background: #FFFFFF; }\r\n  #indi-iai-en-more table.d-table td { border-bottom: 1px solid #E6ECF4; }\r\n  #indi-iai-en-more table.d-table td::before { content: attr(data-label); display: block; font-size: 15px; font-weight: 700; color: #0F3B7A; margin-bottom: 8px; }\r\n  #indi-iai-en-more table.d-table td.d-stage { background: #F7F9FC !important; }\r\n  #indi-iai-en-more table.d-table td.d-stage::before { display: none; }\r\n}\r\n<\/style>\r\n<section id=\"indi-iai-en-more\" aria-label=\"More about indigitall AI\">\r\n  <div class=\"d-wrap\">\r\n    <p class=\"d-eyebrow\">More about indigitall AI<\/p>\r\n    <div class=\"d-list\">\r\n      <details class=\"d-dd\" id=\"iai-en-resolve\">\r\n        <summary><span class=\"d-sico\" style=\"background:#EEF3FF !important\"><svg width=\"20\" height=\"20\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"#0072EF\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M22 11.08V12a10 10 0 1 1-5.93-9.14\"\/><polyline points=\"22 4 12 14.01 9 11.01\"\/><\/svg><\/span><h2 class=\"d-h2\">What does an AI customer service agent resolve, and when does it hand off to a person?<\/h2><span class=\"d-chev\"><svg width=\"18\" height=\"18\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"#0F3B7A\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\" focusable=\"false\"><path d=\"m6 9 6 6 6-6\"\/><\/svg><\/span><\/summary>\r\n        <div class=\"d-body\"><ul class=\"d-cards d-3\"><li class=\"d-card d-hi\"><div class=\"d-ch\"><span class=\"d-ci\" style=\"background:#EEF3FF !important\"><svg width=\"20\" height=\"20\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"#0072EF\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M12 8V4H8\"\/><rect width=\"16\" height=\"12\" x=\"4\" y=\"8\" rx=\"2\"\/><path d=\"M2 14h2\"\/><path d=\"M20 14h2\"\/><path d=\"M15 13v2\"\/><path d=\"M9 13v2\"\/><\/svg><\/span><\/div><p class=\"d-p\">An indigitall AI agent reasons, decides and acts.<\/p><\/li><li class=\"d-card\"><div class=\"d-ch\"><span class=\"d-ci\" style=\"background:#FEF1E6 !important\"><svg width=\"20\" height=\"20\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"#F07000\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M12 22v-5\"\/><path d=\"M9 8V2\"\/><path d=\"M15 8V2\"\/><path d=\"M18 8v5a4 4 0 0 1-4 4h-4a4 4 0 0 1-4-4V8Z\"\/><\/svg><\/span><\/div><p class=\"d-p\">Through the Model Context Protocol it connects to the company's other systems and gets things done inside the conversation, not just answers.<\/p><\/li><li class=\"d-card\"><div class=\"d-ch\"><span class=\"d-ci\" style=\"background:#EEF8E6 !important\"><svg width=\"20\" height=\"20\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"#12872F\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3 14h3a2 2 0 0 1 2 2v3a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2v-7a9 9 0 0 1 18 0v7a2 2 0 0 1-2 2h-1a2 2 0 0 1-2-2v-3a2 2 0 0 1 2-2h3\"\/><\/svg><\/span><\/div><p class=\"d-p\">It can also transfer the conversation to a human agent, who picks it up on a computer or a phone. The number of human agents is configurable.<\/p><\/li><\/ul><div class=\"d-tw\"><table class=\"d-table d-c3\"><thead><tr><th scope=\"col\">Situation<\/th><th scope=\"col\">What the AI agent does<\/th><th scope=\"col\">What the human team gets<\/th><\/tr><\/thead><tbody><tr><td class=\"d-stage\" data-label=\"Situation\"><span><svg width=\"18\" height=\"18\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"#0072EF\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\" focusable=\"false\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><path d=\"m9 16 2 2 4-4\"\/><\/svg>A booking<\/span><\/td><td data-label=\"What the AI agent does\">Handles it in the connected system<\/td><td data-label=\"What the human team gets\">Nothing, if it is resolved in the conversation<\/td><\/tr><tr><td class=\"d-stage\" data-label=\"Situation\"><span><svg width=\"18\" height=\"18\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"#12872F\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\" focusable=\"false\"><ellipse cx=\"12\" cy=\"5\" rx=\"9\" ry=\"3\"\/><path d=\"M3 5v14a9 3 0 0 0 18 0V5\"\/><path d=\"M3 12a9 3 0 0 0 18 0\"\/><\/svg>A detail that changes in the CRM<\/span><\/td><td data-label=\"What the AI agent does\">Updates the record<\/td><td data-label=\"What the human team gets\">The CRM, already updated<\/td><\/tr><tr><td class=\"d-stage\" data-label=\"Situation\"><span><svg width=\"18\" height=\"18\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"#F07000\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\" focusable=\"false\"><circle cx=\"12\" cy=\"12\" r=\"10\"\/><circle cx=\"12\" cy=\"12\" r=\"6\"\/><circle cx=\"12\" cy=\"12\" r=\"2\"\/><\/svg>An interested lead<\/span><\/td><td data-label=\"What the AI agent does\">Captures the details or starts a customer journey<\/td><td data-label=\"What the human team gets\">The lead in the journey or in the CRM<\/td><\/tr><tr><td class=\"d-stage\" data-label=\"Situation\"><span><svg width=\"18\" height=\"18\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"#0F3B7A\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M15 2H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V7Z\"\/><path d=\"M14 2v4a2 2 0 0 0 2 2h4\"\/><path d=\"M10 9H8\"\/><path d=\"M16 13H8\"\/><path d=\"M16 17H8\"\/><\/svg>An issue<\/span><\/td><td data-label=\"What the AI agent does\">Creates a ticket<\/td><td data-label=\"What the human team gets\">The ticket, with its context<\/td><\/tr><tr><td class=\"d-stage\" data-label=\"Situation\"><span><svg width=\"18\" height=\"18\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"#0F3B7A\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M16 21v-2a4 4 0 0 0-4-4H6a4 4 0 0 0-4 4v2\"\/><circle cx=\"9\" cy=\"7\" r=\"4\"\/><path d=\"M22 21v-2a4 4 0 0 0-3-3.87\"\/><path d=\"M16 3.13a4 4 0 0 1 0 7.75\"\/><\/svg>Something that needs a person<\/span><\/td><td data-label=\"What the AI agent does\">Transfers the conversation<\/td><td data-label=\"What the human team gets\">A summary of the conversation and a suggested reply the agent can send, edit or replace<\/td><\/tr><\/tbody><\/table><\/div><\/div>\r\n      <\/details>\r\n      <details class=\"d-dd\" id=\"iai-en-types\">\r\n        <summary><span class=\"d-sico\" style=\"background:#EEF8E6 !important\"><svg width=\"20\" height=\"20\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"#12872F\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\" focusable=\"false\"><path d=\"m16 16 3-8 3 8c-.87.65-1.92 1-3 1s-2.13-.35-3-1Z\"\/><path d=\"m2 16 3-8 3 8c-.87.65-1.92 1-3 1s-2.13-.35-3-1Z\"\/><path d=\"M7 21h10\"\/><path d=\"M12 3v18\"\/><path d=\"M3 7h2c2 0 5-1 7-2 2 1 5 2 7 2h2\"\/><\/svg><\/span><h2 class=\"d-h2\">Rule-based bot, generative AI chatbot or AI agents: which one fits?<\/h2><span class=\"d-chev\"><svg width=\"18\" height=\"18\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"#0F3B7A\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\" focusable=\"false\"><path d=\"m6 9 6 6 6-6\"\/><\/svg><\/span><\/summary>\r\n        <div class=\"d-body\"><p class=\"d-p\">indigitall offers all three, and a routing bot can pass the conversation to a person, to another bot or to data from an API.<\/p><ul class=\"d-cards d-3\"><li class=\"d-card\"><div class=\"d-ch\"><span class=\"d-ci\" style=\"background:#EEF3FF !important\"><svg width=\"20\" height=\"20\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"#0072EF\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\" focusable=\"false\"><line x1=\"6\" x2=\"6\" y1=\"3\" y2=\"15\"\/><circle cx=\"18\" cy=\"6\" r=\"3\"\/><circle cx=\"6\" cy=\"18\" r=\"3\"\/><path d=\"M18 9a9 9 0 0 1-9 9\"\/><\/svg><\/span><\/div><p class=\"d-p\">A rule-based bot follows a fixed tree and does not learn, which works when the answers are closed.<\/p><\/li><li class=\"d-card\"><div class=\"d-ch\"><span class=\"d-ci\" style=\"background:#FEF1E6 !important\"><svg width=\"20\" height=\"20\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"#F07000\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M9.937 15.5A2 2 0 0 0 8.5 14.063l-6.135-1.582a.5.5 0 0 1 0-.962L8.5 9.936A2 2 0 0 0 9.937 8.5l1.582-6.135a.5.5 0 0 1 .963 0L14.063 8.5A2 2 0 0 0 15.5 9.937l6.135 1.581a.5.5 0 0 1 0 .964L15.5 14.063a2 2 0 0 0-1.437 1.437l-1.582 6.135a.5.5 0 0 1-.963 0z\"\/><\/svg><\/span><\/div><p class=\"d-p\">A generative chatbot answers from the content you give it and flags the questions it cannot answer.<\/p><\/li><li class=\"d-card\"><div class=\"d-ch\"><span class=\"d-ci\" style=\"background:#0F3B7A !important\"><svg width=\"20\" height=\"20\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"#8ADA3F\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M12 8V4H8\"\/><rect width=\"16\" height=\"12\" x=\"4\" y=\"8\" rx=\"2\"\/><path d=\"M2 14h2\"\/><path d=\"M20 14h2\"\/><path d=\"M15 13v2\"\/><path d=\"M9 13v2\"\/><\/svg><\/span><\/div><p class=\"d-p\">An AI agent also takes action in your systems, and several agents can split the work.<\/p><\/li><\/ul><div class=\"d-tw\"><table class=\"d-table d-c3\"><thead><tr><th scope=\"col\">Type<\/th><th scope=\"col\">How it answers<\/th><th scope=\"col\">When it fits<\/th><\/tr><\/thead><tbody><tr><td class=\"d-stage\" data-label=\"Type\"><span><svg width=\"18\" height=\"18\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"#0072EF\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\" focusable=\"false\"><line x1=\"6\" x2=\"6\" y1=\"3\" y2=\"15\"\/><circle cx=\"18\" cy=\"6\" r=\"3\"\/><circle cx=\"6\" cy=\"18\" r=\"3\"\/><path d=\"M18 9a9 9 0 0 1-9 9\"\/><\/svg>Rule-based bot<\/span><\/td><td data-label=\"How it answers\">Fixed if-then rules<\/td><td data-label=\"When it fits\">Menus and closed processes<\/td><\/tr><tr><td class=\"d-stage\" data-label=\"Type\"><span><svg width=\"18\" height=\"18\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"#12872F\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M9.937 15.5A2 2 0 0 0 8.5 14.063l-6.135-1.582a.5.5 0 0 1 0-.962L8.5 9.936A2 2 0 0 0 9.937 8.5l1.582-6.135a.5.5 0 0 1 .963 0L14.063 8.5A2 2 0 0 0 15.5 9.937l6.135 1.581a.5.5 0 0 1 0 .964L15.5 14.063a2 2 0 0 0-1.437 1.437l-1.582 6.135a.5.5 0 0 1-.963 0z\"\/><\/svg>Generative AI chatbot<\/span><\/td><td data-label=\"How it answers\">From its knowledge sources, flagging the questions it cannot answer<\/td><td data-label=\"When it fits\">Many different questions about the same documentation<\/td><\/tr><tr><td class=\"d-stage\" data-label=\"Type\"><span><svg width=\"18\" height=\"18\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"#F07000\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\" focusable=\"false\"><path d=\"m12.83 2.18a2 2 0 0 0-1.66 0L2.6 6.08a1 1 0 0 0 0 1.83l8.58 3.91a2 2 0 0 0 1.66 0l8.58-3.9a1 1 0 0 0 0-1.83Z\"\/><path d=\"m22 17.65-9.17 4.16a2 2 0 0 1-1.66 0L2 17.65\"\/><path d=\"m22 12.65-9.17 4.16a2 2 0 0 1-1.66 0L2 12.65\"\/><\/svg>Hybrid bot<\/span><\/td><td data-label=\"How it answers\">Generative AI combined with a DialogFlow bot<\/td><td data-label=\"When it fits\">Guided flows with open questions<\/td><\/tr><tr><td class=\"d-stage\" data-label=\"Type\"><span><svg width=\"18\" height=\"18\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"#0F3B7A\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M12 8V4H8\"\/><rect width=\"16\" height=\"12\" x=\"4\" y=\"8\" rx=\"2\"\/><path d=\"M2 14h2\"\/><path d=\"M20 14h2\"\/><path d=\"M15 13v2\"\/><path d=\"M9 13v2\"\/><\/svg>AI agent<\/span><\/td><td data-label=\"How it answers\">Reasons and acts in other systems through MCP<\/td><td data-label=\"When it fits\">Tasks such as bookings, tickets or CRM updates<\/td><\/tr><tr><td class=\"d-stage\" data-label=\"Type\"><span><svg width=\"18\" height=\"18\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"#0F3B7A\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M16 21v-2a4 4 0 0 0-4-4H6a4 4 0 0 0-4 4v2\"\/><circle cx=\"9\" cy=\"7\" r=\"4\"\/><path d=\"M22 21v-2a4 4 0 0 0-3-3.87\"\/><path d=\"M16 3.13a4 4 0 0 1 0 7.75\"\/><\/svg>Multiple agents with a supervisor<\/span><\/td><td data-label=\"How it answers\">A supervisor agent routes each query and its context to the right specialized agent<\/td><td data-label=\"When it fits\">Very different topics on the same channel<\/td><\/tr><\/tbody><\/table><\/div><\/div>\r\n      <\/details>\r\n      <details class=\"d-dd\" id=\"iai-en-train\">\r\n        <summary><span class=\"d-sico\" style=\"background:#FEF1E6 !important\"><svg width=\"20\" height=\"20\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"#F07000\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M2 3h6a4 4 0 0 1 4 4v14a3 3 0 0 0-3-3H2z\"\/><path d=\"M22 3h-6a4 4 0 0 0-4 4v14a3 3 0 0 1 3-3h7z\"\/><\/svg><\/span><h2 class=\"d-h2\">How do you train an AI agent on your company's knowledge base?<\/h2><span class=\"d-chev\"><svg width=\"18\" height=\"18\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"#0F3B7A\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\" focusable=\"false\"><path d=\"m6 9 6 6 6-6\"\/><\/svg><\/span><\/summary>\r\n        <div class=\"d-body\"><div class=\"d-split\"><div><p class=\"d-p\">indigitall's AI agents and generative chatbots answer from the knowledge sources each company defines.<\/p><div class=\"d-note d-blue\"><svg width=\"20\" height=\"20\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"#0072EF\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M16 21v-2a4 4 0 0 0-4-4H6a4 4 0 0 0-4 4v2\"\/><circle cx=\"9\" cy=\"7\" r=\"4\"\/><path d=\"M22 21v-2a4 4 0 0 0-3-3.87\"\/><path d=\"M16 3.13a4 4 0 0 1 0 7.75\"\/><\/svg><p class=\"d-p\">The indigitall team handles the initial setup, and the company then manages and expands the content.<\/p><\/div><\/div><div><div class=\"d-card\"><p class=\"d-p\"><strong>Answer quality depends on documentation quality:<\/strong><\/p><ul class=\"d-checks\" style=\"grid-template-columns:1fr\"><li><svg width=\"18\" height=\"18\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"#12872F\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\" focusable=\"false\"><polyline points=\"20 6 9 17 4 12\"\/><\/svg><span>it should not contradict itself<\/span><\/li><li><svg width=\"18\" height=\"18\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"#12872F\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\" focusable=\"false\"><polyline points=\"20 6 9 17 4 12\"\/><\/svg><span>all of it should be in the same language<\/span><\/li><li><svg width=\"18\" height=\"18\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"#12872F\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\" focusable=\"false\"><polyline points=\"20 6 9 17 4 12\"\/><\/svg><span>the information should be in text, not inside images<\/span><\/li><\/ul><\/div><\/div><\/div><div class=\"d-tw\"><table class=\"d-table d-c3\"><thead><tr><th scope=\"col\">Source<\/th><th scope=\"col\">How you add it<\/th><th scope=\"col\">What to know<\/th><\/tr><\/thead><tbody><tr><td class=\"d-stage\" data-label=\"Source\"><span><svg width=\"18\" height=\"18\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"#0072EF\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M15 2H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V7Z\"\/><path d=\"M14 2v4a2 2 0 0 0 2 2h4\"\/><path d=\"M10 9H8\"\/><path d=\"M16 13H8\"\/><path d=\"M16 17H8\"\/><\/svg>Documents<\/span><\/td><td data-label=\"How you add it\">PDF or text files<\/td><td data-label=\"What to know\">Up to 50 MB per file; plain text works best<\/td><\/tr><tr><td class=\"d-stage\" data-label=\"Source\"><span><svg width=\"18\" height=\"18\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"#12872F\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\" focusable=\"false\"><circle cx=\"12\" cy=\"12\" r=\"10\"\/><path d=\"M12 2a14.5 14.5 0 0 0 0 20 14.5 14.5 0 0 0 0-20\"\/><path d=\"M2 12h20\"\/><\/svg>Web pages<\/span><\/td><td data-label=\"How you add it\">A sitemap, a CSV list of URLs or URLs one by one<\/td><td data-label=\"What to know\">Each source has a refresh interval; the text must be in the HTML, not loaded by JavaScript<\/td><\/tr><tr><td class=\"d-stage\" data-label=\"Source\"><span><svg width=\"18\" height=\"18\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"#F07000\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\" focusable=\"false\"><ellipse cx=\"12\" cy=\"5\" rx=\"9\" ry=\"3\"\/><path d=\"M3 5v14a9 3 0 0 0 18 0V5\"\/><path d=\"M3 12a9 3 0 0 0 18 0\"\/><\/svg>Data that changes during the day<\/span><\/td><td data-label=\"How you add it\">Through an API or a database<\/td><td data-label=\"What to know\">URLs do not suit data that changes several times a day<\/td><\/tr><\/tbody><\/table><\/div><\/div>\r\n      <\/details>\r\n      <details class=\"d-dd\" id=\"iai-en-faq\">\r\n        <summary><span class=\"d-sico\" style=\"background:#EEF3FF !important\"><svg width=\"20\" height=\"20\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"#0072EF\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M21 15a2 2 0 0 1-2 2H7l-4 4V5a2 2 0 0 1 2-2h14a2 2 0 0 1 2 2z\"\/><\/svg><\/span><h2 class=\"d-h2\">FAQs: indigitall's AI customer service agents<\/h2><span class=\"d-chev\"><svg width=\"18\" height=\"18\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"#0F3B7A\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" aria-hidden=\"true\" focusable=\"false\"><path d=\"m6 9 6 6 6-6\"\/><\/svg><\/span><\/summary>\r\n        <div class=\"d-body\"><div class=\"d-faq\"><div><h3 class=\"d-h3\">How does an indigitall AI agent avoid making up answers?<\/h3><p class=\"d-p\">An indigitall AI agent answers only from the company's validated knowledge base. Every response passes through a security filter, and you can exclude URLs and pages when the content is loaded, cap usage per user and temporarily block anyone who misuses the bot. Questions the bot cannot answer show up in its reports as unanswered.<\/p><\/div><div><h3 class=\"d-h3\">What happens to customer data when I use an indigitall AI agent?<\/h3><p class=\"d-p\">The company decides which context, files and integrations the agent can see. To answer, indigitall sends that business context to the language model, and data used for training is not shared with public-facing AI applications. Data travels encrypted with TLS 1.2 or higher, is stored with AES-256, and the platform runs on Google Cloud.<\/p><\/div><div><h3 class=\"d-h3\">How does indigitall's AI help human agents in the contact center?<\/h3><p class=\"d-p\">When a human agent joins a conversation, indigitall's AI assistant shows a summary of the key points and a suggested reply, which the agent can send, edit or replace. It also links to internal sources so the agent can check the information, and those sources are never shown to the customer.<\/p><\/div><\/div><\/div>\r\n      <\/details>\r\n    <\/div>\r\n  <\/div>\r\n<\/section>\r\n<script type=\"application\/ld+json\">{\"@context\":\"https:\/\/schema.org\",\"@type\":\"FAQPage\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"How does an indigitall AI agent avoid making up answers?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"An indigitall AI agent answers only from the company's validated knowledge base. Every response passes through a security filter, and you can exclude URLs and pages when the content is loaded, cap usage per user and temporarily block anyone who misuses the bot. 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