{"id":17032,"date":"2024-10-25T15:09:56","date_gmt":"2024-10-25T13:09:56","guid":{"rendered":"https:\/\/kauz.ai\/product-roadmap-2025-multi-agent-systems\/"},"modified":"2024-10-29T14:09:00","modified_gmt":"2024-10-29T13:09:00","slug":"product-roadmap-2025-multi-agent-systems","status":"publish","type":"post","link":"https:\/\/kauz.ai\/en\/blog\/product-roadmap-2025-multi-agent-systems\/","title":{"rendered":"Product roadmap 2025: multi-agent systems"},"content":{"rendered":"<p><section data-bb-version=\"5.1.6\" id=\"bt_bb_section69efb4231e653\" class=\"bt_bb_section bt_bb_layout_boxed_1500 bt_bb_vertical_align_top bt_bb_top_spacing_none bt_bb_bottom_spacing_none bt_bb_negative_margin_none\"  data-bt-override-class=\"{&quot;bt_bb_top_spacing_&quot;:{&quot;current_class&quot;:&quot;bt_bb_top_spacing_none&quot;,&quot;def&quot;:&quot;none&quot;},&quot;bt_bb_bottom_spacing_&quot;:{&quot;current_class&quot;:&quot;bt_bb_bottom_spacing_none&quot;,&quot;def&quot;:&quot;none&quot;},&quot;bt_bb_negative_margin_&quot;:{&quot;current_class&quot;:&quot;bt_bb_negative_margin_none&quot;,&quot;def&quot;:&quot;none&quot;}}\"><div class=\"bt_bb_port\"><div class=\"bt_bb_cell\"><div class=\"bt_bb_cell_inner\"><div class=\"bt_bb_row \"  data-bt-override-class=\"{}\"><div class=\"bt_bb_row_holder\" ><div data-bb-version=\"5.1.3\"  class=\"bt_bb_column col-xxl-12 col-xl-12 col-xs-12 col-sm-12 col-md-12 col-lg-12 bt_bb_vertical_align_top bt_bb_align_left bt_bb_padding_normal\" style=\"; --column-width:12;\" data-width=\"12\" data-bt-override-class=\"{}\"><div class=\"bt_bb_column_content\"><div class=\"bt_bb_column_content_inner\"><div data-bb-version=\"5.1.6\" class=\"bt_bb_image bt_bb_shape_square bt_bb_target_self bt_bb_align_inherit bt_bb_hover_style_simple bt_bb_content_display_always bt_bb_content_align_middle bt_bb_top_negative_margin_none bt_bb_bottom_negative_margin_none bt_bb_right_negative_margin_none bt_bb_left_negative_margin_none\" data-bt-override-class=\"{&quot;bt_bb_align_&quot;:{&quot;current_class&quot;:&quot;bt_bb_align_inherit&quot;,&quot;def&quot;:&quot;inherit&quot;},&quot;bt_bb_content_display_&quot;:{&quot;current_class&quot;:&quot;bt_bb_content_display_always&quot;,&quot;def&quot;:&quot;always&quot;},&quot;bt_bb_top_negative_margin_&quot;:{&quot;current_class&quot;:&quot;bt_bb_top_negative_margin_none&quot;,&quot;def&quot;:&quot;none&quot;},&quot;bt_bb_bottom_negative_margin_&quot;:{&quot;current_class&quot;:&quot;bt_bb_bottom_negative_margin_none&quot;,&quot;def&quot;:&quot;none&quot;},&quot;bt_bb_right_negative_margin_&quot;:{&quot;current_class&quot;:&quot;bt_bb_right_negative_margin_none&quot;,&quot;def&quot;:&quot;none&quot;},&quot;bt_bb_left_negative_margin_&quot;:{&quot;current_class&quot;:&quot;bt_bb_left_negative_margin_none&quot;,&quot;def&quot;:&quot;none&quot;}}\"><span><img loading=\"lazy\" decoding=\"async\" width=\"1920\" height=\"1080\" src=\"https:\/\/kauz.ai\/wp-content\/uploads\/2024\/10\/Multiagentensystem-Newsletter.jpg\" class=\"attachment-full size-full\" alt=\"https:\/\/kauz.ai\/wp-content\/uploads\/2024\/10\/Multiagentensystem-Newsletter.jpg\" data-full_image_src=\"https:\/\/kauz.ai\/wp-content\/uploads\/2024\/10\/Multiagentensystem-Newsletter.jpg\" title=\"Multiagentensystem Newsletter\" srcset=\"https:\/\/kauz.ai\/wp-content\/uploads\/2024\/10\/Multiagentensystem-Newsletter.jpg 1920w, https:\/\/kauz.ai\/wp-content\/uploads\/2024\/10\/Multiagentensystem-Newsletter-640x360.jpg 640w, https:\/\/kauz.ai\/wp-content\/uploads\/2024\/10\/Multiagentensystem-Newsletter-1280x720.jpg 1280w, https:\/\/kauz.ai\/wp-content\/uploads\/2024\/10\/Multiagentensystem-Newsletter-768x432.jpg 768w, https:\/\/kauz.ai\/wp-content\/uploads\/2024\/10\/Multiagentensystem-Newsletter-1536x864.jpg 1536w, https:\/\/kauz.ai\/wp-content\/uploads\/2024\/10\/Multiagentensystem-Newsletter-320x180.jpg 320w\" sizes=\"auto, (max-width: 1920px) 100vw, 1920px\" \/><\/span><\/div><div data-bb-version=\"5.1.6\" class=\"bt_bb_separator_v2 bt_bb_border_style_none bt_bb_top_spacing_normal bt_bb_bottom_spacing_extra_small bt_bb_border_thickness_1 bt_bb_icon_size_normal bt_bb_text_size_normal bt_bb_separator_v2_without_content\" data-bt-override-class=\"{&quot;bt_bb_top_spacing_&quot;:{&quot;current_class&quot;:&quot;bt_bb_top_spacing_normal&quot;,&quot;def&quot;:&quot;normal&quot;},&quot;bt_bb_bottom_spacing_&quot;:{&quot;current_class&quot;:&quot;bt_bb_bottom_spacing_extra_small&quot;,&quot;def&quot;:&quot;extra_small&quot;},&quot;bt_bb_border_thickness_&quot;:{&quot;current_class&quot;:&quot;bt_bb_border_thickness_1&quot;,&quot;def&quot;:&quot;1&quot;},&quot;bt_bb_icon_size_&quot;:{&quot;current_class&quot;:&quot;bt_bb_icon_size_normal&quot;,&quot;def&quot;:&quot;normal&quot;},&quot;bt_bb_text_size_&quot;:{&quot;current_class&quot;:&quot;bt_bb_text_size_normal&quot;,&quot;def&quot;:&quot;normal&quot;}}\"><div class=\"bt_bb_separator_v2_inner\"><span class=\"bt_bb_separator_v2_inner_before\"><\/span><span class=\"bt_bb_separator_v2_inner_content\"><span  data-ico-=\"\" class=\"bt_bb_icon_holder\"><\/span><\/span><span class=\"bt_bb_separator_v2_inner_after\"><\/span><\/div><\/div><div  class=\"bt_bb_text\" ><\/p>\n<h2><b><\/b><b>RAG was just the beginning <\/b><\/h2>\n<p><span style=\"font-weight: 400;\">For many companies, the entry point for generative AI is knowledge management. Answering customer queries automatically and making knowledge from internal wikis and documents findable for employees is possible with technologies such as <\/span><a href=\"https:\/\/kauz.ai\/en\/retrieval-augmented-generation-rag-using-generative-ai-with-your-company-data\/\"><b>Retrieval Augmented Generation (RAG)<\/b><\/a><span style=\"font-weight: 400;\"> can be realized. RAG is particularly well suited to making generative AI usable for individualized content, as existing knowledge can be easily read in and answers can be formulated precisely to the user&#8217;s question. However, RAG reaches its limits in more complex use cases, as it only retrieves and reproduces existing content. RAG agents are also often strictly trained to only use the content provided in order to avoid misinformation or so-called &#8220;hallucinations&#8221;. With <\/span><a href=\"https:\/\/kauz.ai\/en\/60-use-cases-for-ai-chatbots\/\"><span style=\"font-weight: 400;\">tasks<\/span><\/a><span style=\"font-weight: 400;\"> such as consulting, systematic data collection or the analysis of correlations, this approach proves to be too limited.<\/span><\/p>\n<p>\n<\/div><div data-bb-version=\"5.1.6\" class=\"bt_bb_separator_v2 bt_bb_border_style_none bt_bb_top_spacing_normal bt_bb_bottom_spacing_extra_small bt_bb_border_thickness_1 bt_bb_icon_size_normal bt_bb_text_size_normal bt_bb_separator_v2_without_content\" data-bt-override-class=\"{&quot;bt_bb_top_spacing_&quot;:{&quot;current_class&quot;:&quot;bt_bb_top_spacing_normal&quot;,&quot;def&quot;:&quot;normal&quot;},&quot;bt_bb_bottom_spacing_&quot;:{&quot;current_class&quot;:&quot;bt_bb_bottom_spacing_extra_small&quot;,&quot;def&quot;:&quot;extra_small&quot;},&quot;bt_bb_border_thickness_&quot;:{&quot;current_class&quot;:&quot;bt_bb_border_thickness_1&quot;,&quot;def&quot;:&quot;1&quot;},&quot;bt_bb_icon_size_&quot;:{&quot;current_class&quot;:&quot;bt_bb_icon_size_normal&quot;,&quot;def&quot;:&quot;normal&quot;},&quot;bt_bb_text_size_&quot;:{&quot;current_class&quot;:&quot;bt_bb_text_size_normal&quot;,&quot;def&quot;:&quot;normal&quot;}}\"><div class=\"bt_bb_separator_v2_inner\"><span class=\"bt_bb_separator_v2_inner_before\"><\/span><span class=\"bt_bb_separator_v2_inner_content\"><span  data-ico-=\"\" class=\"bt_bb_icon_holder\"><\/span><\/span><span class=\"bt_bb_separator_v2_inner_after\"><\/span><\/div><\/div><div  class=\"bt_bb_text\" ><\/p>\n<h2><b>Rapid AI evolution: multi-agent systems<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Kauz.ai therefore goes beyond the classic RAG agent: with the <\/span><a href=\"https:\/\/kauz.ai\/en\/chatbot-platform\/\"><span style=\"font-weight: 400;\">aiStudio<\/span><\/a><span style=\"font-weight: 400;\"> you can effectively develop your first multi-agent systems<\/span> <span style=\"font-weight: 400;\">develop<\/span><b>. <\/b><span style=\"font-weight: 400;\">The platform provides out-of-the-box specialized agents for different use cases with individual settings and tools that can be combined as required.<\/span><\/p>\n<p>\n<\/div><div data-bb-version=\"5.1.6\" class=\"bt_bb_separator_v2 bt_bb_border_style_none bt_bb_top_spacing_normal bt_bb_bottom_spacing_extra_small bt_bb_border_thickness_1 bt_bb_icon_size_normal bt_bb_text_size_normal bt_bb_separator_v2_without_content\" data-bt-override-class=\"{&quot;bt_bb_top_spacing_&quot;:{&quot;current_class&quot;:&quot;bt_bb_top_spacing_normal&quot;,&quot;def&quot;:&quot;normal&quot;},&quot;bt_bb_bottom_spacing_&quot;:{&quot;current_class&quot;:&quot;bt_bb_bottom_spacing_extra_small&quot;,&quot;def&quot;:&quot;extra_small&quot;},&quot;bt_bb_border_thickness_&quot;:{&quot;current_class&quot;:&quot;bt_bb_border_thickness_1&quot;,&quot;def&quot;:&quot;1&quot;},&quot;bt_bb_icon_size_&quot;:{&quot;current_class&quot;:&quot;bt_bb_icon_size_normal&quot;,&quot;def&quot;:&quot;normal&quot;},&quot;bt_bb_text_size_&quot;:{&quot;current_class&quot;:&quot;bt_bb_text_size_normal&quot;,&quot;def&quot;:&quot;normal&quot;}}\"><div class=\"bt_bb_separator_v2_inner\"><span class=\"bt_bb_separator_v2_inner_before\"><\/span><span class=\"bt_bb_separator_v2_inner_content\"><span  data-ico-=\"\" class=\"bt_bb_icon_holder\"><\/span><\/span><span class=\"bt_bb_separator_v2_inner_after\"><\/span><\/div><\/div><div  class=\"bt_bb_text\" ><\/p>\n<h2><b>Examples of website wizards<\/b><\/h2>\n<ul>\n<li style=\"font-weight: 400;\"><b>RAG agent for knowledge databases: <span style=\"font-weight: 400;\">The classic RAG agent remains in place and answers questions based on the imported knowledge database.<\/span><\/b><\/li>\n<\/ul>\n<ul>\n<li><b>Data acquisition agent: <span style=\"font-weight: 400;\">When a user wants to report a claim, this agent comes into play. It asks the user questions one after the other, uses information from the context of the conversation and adapts to the user&#8217;s individual needs. Compared to traditional online forms, the bounce rate is much lower. The agent is also connected to external tools such as an email inbox or a claims system, to which it forwards the collected data <\/span><\/b>.<\/li>\n<\/ul>\n<ul>\n<li style=\"font-weight: 400;\"><b>Product consulting agent: <\/b><span style=\"font-weight: 400;\">This agent steps in when a potential customer is identified. It knows the product data sheets, can create flexible comparisons between products and make a customized product recommendation. It can also work with a price calculator or transfer the data to a consultant to start a quotation process. <\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">There are many possible applications: <\/span><b>Training consultant<\/b><span style=\"font-weight: 400;\">, <\/span><b>troubleshooter<\/b><span style=\"font-weight: 400;\">, <\/span><b>event planner<\/b><span style=\"font-weight: 400;\"> &#8211; There are no limits to creativity. These agents work together flexibly, as needed, and can be customized based on instructions, available data, tools and the underlying language model. <\/span><\/p>\n<p>\n<\/div><div data-bb-version=\"5.1.6\" class=\"bt_bb_separator_v2 bt_bb_border_style_none bt_bb_top_spacing_normal bt_bb_bottom_spacing_extra_small bt_bb_border_thickness_1 bt_bb_icon_size_normal bt_bb_text_size_normal bt_bb_separator_v2_without_content\" data-bt-override-class=\"{&quot;bt_bb_top_spacing_&quot;:{&quot;current_class&quot;:&quot;bt_bb_top_spacing_normal&quot;,&quot;def&quot;:&quot;normal&quot;},&quot;bt_bb_bottom_spacing_&quot;:{&quot;current_class&quot;:&quot;bt_bb_bottom_spacing_extra_small&quot;,&quot;def&quot;:&quot;extra_small&quot;},&quot;bt_bb_border_thickness_&quot;:{&quot;current_class&quot;:&quot;bt_bb_border_thickness_1&quot;,&quot;def&quot;:&quot;1&quot;},&quot;bt_bb_icon_size_&quot;:{&quot;current_class&quot;:&quot;bt_bb_icon_size_normal&quot;,&quot;def&quot;:&quot;normal&quot;},&quot;bt_bb_text_size_&quot;:{&quot;current_class&quot;:&quot;bt_bb_text_size_normal&quot;,&quot;def&quot;:&quot;normal&quot;}}\"><div class=\"bt_bb_separator_v2_inner\"><span class=\"bt_bb_separator_v2_inner_before\"><\/span><span class=\"bt_bb_separator_v2_inner_content\"><span  data-ico-=\"\" class=\"bt_bb_icon_holder\"><\/span><\/span><span class=\"bt_bb_separator_v2_inner_after\"><\/span><\/div><\/div><div  class=\"bt_bb_text\" ><\/p>\n<h2><b>Examples of internal AI agents<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">The use cases are also expanding within the company:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\"><b>SQL agent: <\/b>This agent performs data analysis by making queries to the sales database and creating reports.<\/li>\n<\/ul>\n<ul>\n<li><b>Claims assistant: <\/b>It helps with the classification of claims inquiries and compares them with product data sheets.<\/li>\n<\/ul>\n<ul>\n<li style=\"font-weight: 400;\"><b>Onboarding agent: <\/b>New employees can use this agent to complete training and simulate work situations.<\/li>\n<\/ul>\n<ul>\n<li style=\"font-weight: 400;\"><b>Troubleshooting assistant: <\/b>Employees can use this agent to solve technical problems themselves or forward them to the IT department in a qualified manner.<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">On our Product Roadmap 2025, the further expansion of available agents is at the center of our development work.<\/span><\/p>\n<p>\n<\/div><div data-bb-version=\"5.1.6\" class=\"bt_bb_separator_v2 bt_bb_border_style_none bt_bb_top_spacing_normal bt_bb_bottom_spacing_extra_small bt_bb_border_thickness_1 bt_bb_icon_size_normal bt_bb_text_size_normal bt_bb_separator_v2_without_content\" data-bt-override-class=\"{&quot;bt_bb_top_spacing_&quot;:{&quot;current_class&quot;:&quot;bt_bb_top_spacing_normal&quot;,&quot;def&quot;:&quot;normal&quot;},&quot;bt_bb_bottom_spacing_&quot;:{&quot;current_class&quot;:&quot;bt_bb_bottom_spacing_extra_small&quot;,&quot;def&quot;:&quot;extra_small&quot;},&quot;bt_bb_border_thickness_&quot;:{&quot;current_class&quot;:&quot;bt_bb_border_thickness_1&quot;,&quot;def&quot;:&quot;1&quot;},&quot;bt_bb_icon_size_&quot;:{&quot;current_class&quot;:&quot;bt_bb_icon_size_normal&quot;,&quot;def&quot;:&quot;normal&quot;},&quot;bt_bb_text_size_&quot;:{&quot;current_class&quot;:&quot;bt_bb_text_size_normal&quot;,&quot;def&quot;:&quot;normal&quot;}}\"><div class=\"bt_bb_separator_v2_inner\"><span class=\"bt_bb_separator_v2_inner_before\"><\/span><span class=\"bt_bb_separator_v2_inner_content\"><span  data-ico-=\"\" class=\"bt_bb_icon_holder\"><\/span><\/span><span class=\"bt_bb_separator_v2_inner_after\"><\/span><\/div><\/div><div  class=\"bt_bb_text\" ><\/p>\n<h2><b>Outlook<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">The agents lay the foundation for the <\/span><b>AI workplace<\/b><span style=\"font-weight: 400;\">: In addition to central assistants for the company or the specialist department, the personal <\/span><b>AI assistant<\/b><span style=\"font-weight: 400;\"> to reality. This assistant can support or automate complex tasks, such as analyzing and replying to emails or creating reports. Employees therefore benefit from an individual digital assistant that makes their daily work easier. <\/span><\/p>\n<p><span style=\"font-weight: 400;\">The future of the working world will be shaped by these <\/span><b>flexible multi-agent systems<\/b><span style=\"font-weight: 400;\"> more dynamic, efficient and personalized.<\/span><\/p>\n<p>\n<\/div><\/div><\/div><\/div><\/div><\/div><div data-bb-version=\"5.1.3\" class=\"bt_bb_row \"  data-bt-override-class=\"{}\"><div class=\"bt_bb_row_holder\" ><\/div><\/div><div data-bb-version=\"5.1.6\" class=\"bt_bb_row \"  data-bt-override-class=\"{}\"><div class=\"bt_bb_row_holder\" ><div data-bb-version=\"5.1.6\"  class=\"bt_bb_column col-xxl-12 col-xl-12 col-xs-12 col-sm-12 col-md-12 col-lg-12 bt_bb_vertical_align_top bt_bb_align_left bt_bb_padding_normal\" style=\"; --column-width:12;\" data-width=\"12\" data-bt-override-class=\"{}\"><div class=\"bt_bb_column_content\"><div class=\"bt_bb_column_content_inner\"><div data-bb-version=\"5.1.6\" class=\"bt_bb_separator_v2 bt_bb_border_style_none bt_bb_top_spacing_small bt_bb_bottom_spacing_small bt_bb_border_thickness_1 bt_bb_icon_size_normal bt_bb_text_size_normal bt_bb_separator_v2_without_content\" data-bt-override-class=\"{&quot;bt_bb_top_spacing_&quot;:{&quot;current_class&quot;:&quot;bt_bb_top_spacing_small&quot;,&quot;def&quot;:&quot;small&quot;},&quot;bt_bb_bottom_spacing_&quot;:{&quot;current_class&quot;:&quot;bt_bb_bottom_spacing_small&quot;,&quot;def&quot;:&quot;small&quot;},&quot;bt_bb_border_thickness_&quot;:{&quot;current_class&quot;:&quot;bt_bb_border_thickness_1&quot;,&quot;def&quot;:&quot;1&quot;},&quot;bt_bb_icon_size_&quot;:{&quot;current_class&quot;:&quot;bt_bb_icon_size_normal&quot;,&quot;def&quot;:&quot;normal&quot;},&quot;bt_bb_text_size_&quot;:{&quot;current_class&quot;:&quot;bt_bb_text_size_normal&quot;,&quot;def&quot;:&quot;normal&quot;}}\"><div class=\"bt_bb_separator_v2_inner\"><span class=\"bt_bb_separator_v2_inner_before\"><\/span><span class=\"bt_bb_separator_v2_inner_content\"><span  data-ico-=\"\" class=\"bt_bb_icon_holder\"><\/span><\/span><span class=\"bt_bb_separator_v2_inner_after\"><\/span><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><!-- cell_inner --><\/div><!-- cell --><\/div><!-- port --><\/section><section data-bb-version=\"5.1.3\" id=\"bt_bb_section69efb4232060c\" class=\"bt_bb_section bt_bb_layout_boxed_900 bt_bb_vertical_align_top bt_bb_top_spacing_none bt_bb_bottom_spacing_none bt_bb_negative_margin_none bt_bb_negative_margin_none bt_bb_shape_hard-rounded\"  data-bt-override-class=\"{&quot;bt_bb_top_spacing_&quot;:{&quot;current_class&quot;:&quot;bt_bb_top_spacing_none&quot;,&quot;def&quot;:&quot;none&quot;},&quot;bt_bb_bottom_spacing_&quot;:{&quot;current_class&quot;:&quot;bt_bb_bottom_spacing_none&quot;,&quot;def&quot;:&quot;none&quot;},&quot;bt_bb_negative_margin_&quot;:{&quot;current_class&quot;:&quot;bt_bb_negative_margin_none&quot;,&quot;def&quot;:&quot;none&quot;}}\"><div class=\"bt_bb_port\"><div class=\"bt_bb_cell\"><div class=\"bt_bb_cell_inner\"><div data-bb-version=\"4.8.8\" class=\"bt_bb_row  bt_bb_negative_margin_none bt_bb_negative_margin_none bt_bb_negative_margin_none bt_bb_negative_margin_none bt_bb_shape_hard-rounded\"  data-bt-override-class=\"{&quot;bt_bb_negative_margin_&quot;:{&quot;current_class&quot;:&quot;bt_bb_negative_margin_none&quot;,&quot;def&quot;:&quot;none&quot;}}\"><div class=\"bt_bb_row_holder\" ><div data-bb-version=\"5.1.3\"  class=\"bt_bb_column col-xxl-12 col-xl-12 col-xs-12 col-sm-12 col-md-12 col-lg-12 ts-grafik-column bt_bb_color_scheme_8 bt_bb_vertical_align_top bt_bb_align_center btLazyLoadBackground bt_bb_column_background_image bt_bb_padding_none bt_bb_border_top_none bt_bb_border_bottom_none bt_bb_border_right_none bt_bb_border_left_none bt_bb_border_top_none bt_bb_border_bottom_none bt_bb_border_right_none bt_bb_border_left_none bt_bb_border_top_none bt_bb_border_bottom_none bt_bb_border_right_none bt_bb_border_left_none bt_bb_border_thickness_1px\" style=\"; --column-primary-color:var(--dark-color); --column-secondary-color:var(--alternate-color);background-color:rgb(242,242,242);background-image:url(&#039;https:\/\/kauz.ai\/wp-content\/plugins\/bold-page-builder\/img\/blank.gif&#039;);; --column-width:12;\" data-background_image_src='https:\/\/kauz.ai\/wp-content\/uploads\/2020\/09\/64.png' data-width=\"12\" data-bt-override-class=\"{&quot;bt_bb_align_&quot;:{&quot;current_class&quot;:&quot;bt_bb_align_center&quot;,&quot;def&quot;:&quot;center&quot;},&quot;bt_bb_padding_&quot;:{&quot;current_class&quot;:&quot;bt_bb_padding_none&quot;,&quot;def&quot;:&quot;none&quot;},&quot;bt_bb_border_top_&quot;:{&quot;current_class&quot;:&quot;bt_bb_border_top_none&quot;,&quot;def&quot;:&quot;none&quot;},&quot;bt_bb_border_bottom_&quot;:{&quot;current_class&quot;:&quot;bt_bb_border_bottom_none&quot;,&quot;def&quot;:&quot;none&quot;},&quot;bt_bb_border_right_&quot;:{&quot;current_class&quot;:&quot;bt_bb_border_right_none&quot;,&quot;def&quot;:&quot;none&quot;},&quot;bt_bb_border_left_&quot;:{&quot;current_class&quot;:&quot;bt_bb_border_left_none&quot;,&quot;def&quot;:&quot;none&quot;}}\"><div class=\"bt_bb_column_content\"><div class=\"bt_bb_column_content_inner\"><div data-bb-version=\"4.8.4\" class=\"bt_bb_separator_v2 bt_bb_border_style_none bt_bb_top_spacing_none bt_bb_bottom_spacing_medium bt_bb_border_thickness_1 bt_bb_icon_size_normal bt_bb_text_size_normal bt_bb_separator_v2_without_content\" data-bt-override-class=\"{&quot;bt_bb_top_spacing_&quot;:{&quot;current_class&quot;:&quot;bt_bb_top_spacing_none&quot;,&quot;def&quot;:&quot;none&quot;},&quot;bt_bb_bottom_spacing_&quot;:{&quot;current_class&quot;:&quot;bt_bb_bottom_spacing_medium&quot;,&quot;def&quot;:&quot;medium&quot;},&quot;bt_bb_border_thickness_&quot;:{&quot;current_class&quot;:&quot;bt_bb_border_thickness_1&quot;,&quot;def&quot;:&quot;1&quot;},&quot;bt_bb_icon_size_&quot;:{&quot;current_class&quot;:&quot;bt_bb_icon_size_normal&quot;,&quot;def&quot;:&quot;normal&quot;},&quot;bt_bb_text_size_&quot;:{&quot;current_class&quot;:&quot;bt_bb_text_size_normal&quot;,&quot;def&quot;:&quot;normal&quot;}}\"><div class=\"bt_bb_separator_v2_inner\"><span class=\"bt_bb_separator_v2_inner_before\"><\/span><span class=\"bt_bb_separator_v2_inner_content\"><span  data-ico-=\"\" class=\"bt_bb_icon_holder\"><\/span><\/span><span class=\"bt_bb_separator_v2_inner_after\"><\/span><\/div><\/div><header data-bb-version=\"5.1.6\" class=\"bt_bb_headline bt_bb_dash_none bt_bb_superheadline bt_bb_size_small bt_bb_align_inherit bt_bb_hidden_xs bt_bb_hidden_ms bt_bb_hidden_sm\" style=\";color:rgb(255,255,255);border-color:rgb(255,255,255);\" data-bt-override-class=\"{&quot;bt_bb_size_&quot;:{&quot;current_class&quot;:&quot;bt_bb_size_small&quot;,&quot;def&quot;:&quot;small&quot;},&quot;bt_bb_align_&quot;:{&quot;current_class&quot;:&quot;bt_bb_align_inherit&quot;,&quot;def&quot;:&quot;inherit&quot;}}\"><h1 class=\"bt_bb_headline_tag\"><span class=\"bt_bb_headline_superheadline\">60 AI use cases at a glance <\/span><span class=\"bt_bb_headline_content\"><span>Read our latest e-book on the possible application scenarios of artificial intelligence. <\/span><\/span><\/h1><\/header><div data-bb-version=\"4.8.4\" class=\"bt_bb_separator_v2 bt_bb_border_style_none bt_bb_top_spacing_none bt_bb_bottom_spacing_medium bt_bb_border_thickness_1 bt_bb_icon_size_normal bt_bb_text_size_normal bt_bb_separator_v2_without_content\" data-bt-override-class=\"{&quot;bt_bb_top_spacing_&quot;:{&quot;current_class&quot;:&quot;bt_bb_top_spacing_none&quot;,&quot;def&quot;:&quot;none&quot;},&quot;bt_bb_bottom_spacing_&quot;:{&quot;current_class&quot;:&quot;bt_bb_bottom_spacing_medium&quot;,&quot;def&quot;:&quot;medium&quot;},&quot;bt_bb_border_thickness_&quot;:{&quot;current_class&quot;:&quot;bt_bb_border_thickness_1&quot;,&quot;def&quot;:&quot;1&quot;},&quot;bt_bb_icon_size_&quot;:{&quot;current_class&quot;:&quot;bt_bb_icon_size_normal&quot;,&quot;def&quot;:&quot;normal&quot;},&quot;bt_bb_text_size_&quot;:{&quot;current_class&quot;:&quot;bt_bb_text_size_normal&quot;,&quot;def&quot;:&quot;normal&quot;}}\"><div class=\"bt_bb_separator_v2_inner\"><span class=\"bt_bb_separator_v2_inner_before\"><\/span><span class=\"bt_bb_separator_v2_inner_content\"><span  data-ico-=\"\" class=\"bt_bb_icon_holder\"><\/span><\/span><span class=\"bt_bb_separator_v2_inner_after\"><\/span><\/div><\/div><div data-bb-version=\"5.1.6\" class=\"bt_bb_button bt_bb_color_scheme_2 bt_bb_icon_position_right bt_bb_style_outline bt_bb_size_normal bt_bb_width_inline bt_bb_shape_inherit bt_bb_target_self bt_bb_text_transform_inherit bt_bb_align_center\" style=\"; --primary-color:var(--accent-color); --secondary-color:var(--dark-color);\" data-bt-override-class=\"{&quot;bt_bb_size_&quot;:{&quot;current_class&quot;:&quot;bt_bb_size_normal&quot;,&quot;def&quot;:&quot;normal&quot;},&quot;bt_bb_align_&quot;:{&quot;current_class&quot;:&quot;bt_bb_align_center&quot;,&quot;def&quot;:&quot;center&quot;}}\"><a href=\"https:\/\/kauz.ai\/en\/60-use-cases-for-ai-chatbots\/\" target=\"_self\" class=\"bt_bb_link\" title=\"Download now\"><span class=\"bt_bb_button_text\" >Download now<\/span><\/a><\/div><div data-bb-version=\"4.8.8\" class=\"bt_bb_separator_v2 bt_bb_border_style_none bt_bb_top_spacing_none bt_bb_bottom_spacing_medium bt_bb_border_thickness_1 bt_bb_icon_size_normal bt_bb_text_size_normal bt_bb_separator_v2_without_content\" data-bt-override-class=\"{&quot;bt_bb_top_spacing_&quot;:{&quot;current_class&quot;:&quot;bt_bb_top_spacing_none&quot;,&quot;def&quot;:&quot;none&quot;},&quot;bt_bb_bottom_spacing_&quot;:{&quot;current_class&quot;:&quot;bt_bb_bottom_spacing_medium&quot;,&quot;def&quot;:&quot;medium&quot;},&quot;bt_bb_border_thickness_&quot;:{&quot;current_class&quot;:&quot;bt_bb_border_thickness_1&quot;,&quot;def&quot;:&quot;1&quot;},&quot;bt_bb_icon_size_&quot;:{&quot;current_class&quot;:&quot;bt_bb_icon_size_normal&quot;,&quot;def&quot;:&quot;normal&quot;},&quot;bt_bb_text_size_&quot;:{&quot;current_class&quot;:&quot;bt_bb_text_size_normal&quot;,&quot;def&quot;:&quot;normal&quot;}}\"><div class=\"bt_bb_separator_v2_inner\"><span class=\"bt_bb_separator_v2_inner_before\"><\/span><span class=\"bt_bb_separator_v2_inner_content\"><span  data-ico-=\"\" class=\"bt_bb_icon_holder\"><\/span><\/span><span class=\"bt_bb_separator_v2_inner_after\"><\/span><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><!-- cell_inner --><\/div><!-- cell --><\/div><!-- port --><\/section><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Companies use RAG-based AI for efficient customer inquiries and knowledge management. Multi-agent systems extend this with specialized assistants, e.g. for product advice and damage reports &#8211; the path to the AI-supported workplace of the future. <\/p>\n","protected":false},"author":14,"featured_media":14505,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","footnotes":""},"categories":[60],"tags":[],"class_list":["post-17032","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technology","article-list-item","animate"],"acf":[],"ab_tests":{"titles":{"started":false,"start_time":1777316899000,"end_time":1779908899000,"traffic_percentage":35,"variant_traffic_percentage":[],"paused":true,"ended":false,"results":{"timestamp":0,"winning":null,"winner":null,"aggs":[],"variants":[]}},"featured_images":{"started":false,"start_time":1777316899000,"end_time":1779908899000,"traffic_percentage":35,"variant_traffic_percentage":[],"paused":true,"ended":false,"results":{"timestamp":0,"winning":null,"winner":null,"aggs":[],"variants":[]}}},"ab_test_titles":[],"ab_test_featured_images":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v25.1 (Yoast SEO v27.4) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Product roadmap 2025: multi-agent systems - Kauz<\/title>\n<meta name=\"description\" content=\"Companies use RAG to deploy generative AI in knowledge management. 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