{"id":9764,"date":"2025-03-20T10:27:09","date_gmt":"2025-03-20T09:27:09","guid":{"rendered":"https:\/\/www.automatify.ch\/?p=9764"},"modified":"2025-03-26T09:07:47","modified_gmt":"2025-03-26T08:07:47","slug":"trendthema-agentic-ai","status":"publish","type":"post","link":"https:\/\/www.automatify.ch\/en\/trendthema-agentic-ai\/","title":{"rendered":"Trend Topic:\u00a0 Agentic AI"},"content":{"rendered":"\n\n\n<section id=\"res-txt-block_0d3b4ca51c344911118915e1476fa6ca\" class=\"res-block res-txt style-standard layout01 pt-3 Transparent\" style=\"background: transparent;\">\n  <div class=\"inner-container container-off \" data-aos=\"res-fadeIn\">\n \n\t\t  \n\t\t \t  \n      \n      <div class=\"layout-1 txt-section\">\n\t\t<div class=\"row\">\t\n\t\t\t\n\t\t\n\t\t\t<div class=\"col-md-10 var-1spalten text-left\">\n\t\t\t\t\n\t\t\t\t<div class=\"txt-title-field\">\n\t\n\t\t\t\t\t\n\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t \n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t\t\t\t\t<div class=\"txt-textfield postContent pt-md-2 \">\n                        <p><strong>Agentic AI<\/strong> is the new buzzword in automation \u2014 an LLM (Large Language Model) that acts autonomously, makes decisions, and learns from experience. In the following sections, you will find out everything you need to know about Agentic AI.<\/p>\n\t\t\t\t\t<\/div>\n                \n                \n\t\t\t\t\t            <\/div>\n\t\t\t\t <\/div> \t\n\t\t<\/div>\n\t \n\t  \n \n \n\t<\/div>\n<\/section>\n\n\n\n\n\n\n<section id=\"res-txt-block_715f683dd4d14a4b2e90e9d82d1582f2\" class=\"res-block res-txt style-standard layout01 pt-3 Transparent\" style=\"background: transparent;\">\n  <div class=\"inner-container container-off \" data-aos=\"res-fadeIn\">\n \n\t\t  \n\t\t \t  \n      \n      <div class=\"layout-1 txt-section\">\n\t\t<div class=\"row\">\t\n\t\t\t\n\t\t\n\t\t\t<div class=\"col-md-10 var-1spalten text-left\">\n\t\t\t\t\n\t\t\t\t<div class=\"txt-title-field\">\n\t\n\t\t\t\t\t\n\t\t\n\t\t\t\t\n\t\t\t\t \n\t\t\t\t   <h3 class=\"title-h3 \">Agentic Variant 1 <\/h3>\n\t\t\t\t\t\n\t\t\t\t\t \n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t\t\t\t\t<div class=\"txt-textfield postContent pt-md-2 \">\n                        <h4>LLMs control their own processes<\/h4>\n<p>On the one hand, there are agents in which LLMs dynamically manage their own processes and the use of tools while maintaining control over how they execute tasks.<br \/>\n<strong>Example<\/strong>: A drone that independently flies from point A to B in any weather conditions and is capable of avoiding obstacles.<\/p>\n\t\t\t\t\t<\/div>\n                \n                \n\t\t\t\t\t            <\/div>\n\t\t\t\t <\/div> \t\n\t\t<\/div>\n\t \n\t  \n \n \n\t<\/div>\n<\/section>\n\n\n\n\n\n\n<section id=\"res-txt-block_3a586bdeb9bd956d23038659ed5d3e28\" class=\"res-block res-txt style-standard layout01 pt-3 Transparent\" style=\"background: transparent;\">\n  <div class=\"inner-container container-off \" data-aos=\"res-fadeIn\">\n \n\t\t  \n\t\t \t  \n      \n      <div class=\"layout-1 txt-section\">\n\t\t<div class=\"row\">\t\n\t\t\t\n\t\t\n\t\t\t<div class=\"col-md-10 var-1spalten text-left\">\n\t\t\t\t\n\t\t\t\t<div class=\"txt-title-field\">\n\t\n\t\t\t\t\t\n\t\t\n\t\t\t\t\n\t\t\t\t \n\t\t\t\t   <h3 class=\"title-h3 \">Agentic Variant 2 <\/h3>\n\t\t\t\t\t\n\t\t\t\t\t \n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t\t\t\t\t<div class=\"txt-textfield postContent pt-md-2 \">\n                        <h4>LLMs with predefined code paths<\/h4>\n<p>On the other hand, there are agents in which LLMs and tools are orchestrated through predefined code paths.<\/p>\n<p><strong>Example<\/strong>: Case registration in a hospital.<br \/>\nA doctor sends a referral letter via email to the hospital. There, Agentic AI extracts the context and the structured information needed for case registration from the letter. The bot can then automatically record the case in the hospital\u2019s system.<\/p>\n\t\t\t\t\t<\/div>\n                \n                \n\t\t\t\t\t            <\/div>\n\t\t\t\t <\/div> \t\n\t\t<\/div>\n\t \n\t  \n \n \n\t<\/div>\n<\/section>\n\n\n\n\n\n\n<section id=\"res-txt-block_8f0f1cfebc16ec3c3370026118a741cf\" class=\"res-block res-txt style-standard layout01 pt-3 Transparent\" style=\"background: transparent;\">\n  <div class=\"inner-container container-off \" data-aos=\"res-fadeIn\">\n \n\t\t  \n\t\t \t  \n      \n      <div class=\"layout-1 txt-section\">\n\t\t<div class=\"row\">\t\n\t\t\t\n\t\t\n\t\t\t<div class=\"col-md-10 var-1spalten text-left\">\n\t\t\t\t\n\t\t\t\t<div class=\"txt-title-field\">\n\t\n\t\t\t\t\t\n\t\t\n\t\t\t\t\n\t\t\t\t \n\t\t\t\t   <h3 class=\"title-h3 \">Agentic LLM Components<\/h3>\n\t\t\t\t\t\n\t\t\t\t\t \n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t\t\t\t\t<div class=\"txt-textfield postContent pt-md-2 \">\n                        <p>A Large Language Model (LLM) is a<strong> deep learning algorithm<\/strong> trained on enormously large datasets. LLMs are often used in applications within the field of Natural Language Processing (NLP) when it comes to entering queries in natural language to receive an answer or result. <strong>An LLM can understand, summarize, generate, and predict new content<\/strong>. It typically has billions of parameters that function like memories the model accumulates during training. This enables it to derive new content.<br \/>\nThe most well-known LLMs include GPT from OpenAI, Claude from Anthropic, and Llama from Meta, to name just a few.<\/p>\n\t\t\t\t\t<\/div>\n                \n                \n\t\t\t\t\t            <\/div>\n\t\t\t\t <\/div> \t\n\t\t<\/div>\n\t \n\t  \n \n \n\t<\/div>\n<\/section>\n\n\n\n\n\n\n<section id=\"res-txt-block_7789c18a1a63f939eb228f262ad12223\" class=\"res-block res-txt style-standard layout01 pt-3 Transparent\" style=\"background: transparent;\">\n  <div class=\"inner-container container-off \" data-aos=\"res-fadeIn\">\n \n\t\t  \n\t\t \t  \n      \n      <div class=\"layout-1 txt-section\">\n\t\t<div class=\"row\">\t\n\t\t\t\n\t\t\n\t\t\t<div class=\"col-md-10 var-1spalten text-left\">\n\t\t\t\t\n\t\t\t\t<div class=\"txt-title-field\">\n\t\n\t\t\t\t\t\n\t\t\n\t\t\t\t\n\t\t\t\t \n\t\t\t\t   <h3 class=\"title-h3 \">Agentic Retrievel Components<\/h3>\n\t\t\t\t\t\n\t\t\t\t\t \n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t\t\t\t\t<div class=\"txt-textfield postContent pt-md-2 \">\n                        <p>This component retrieves relevant information from external sources or databases. It ensures that the agent always has up-to-date and relevant data to make decisions.<\/p>\n\t\t\t\t\t<\/div>\n                \n                \n\t\t\t\t\t            <\/div>\n\t\t\t\t <\/div> \t\n\t\t<\/div>\n\t \n\t  \n \n \n\t<\/div>\n<\/section>\n\n\n\n\n\n\n<section id=\"res-txt-block_f1995e1119a78f84aa1e0c930fc98284\" class=\"res-block res-txt style-standard layout01 pt-3 Transparent\" style=\"background: transparent;\">\n  <div class=\"inner-container container-off \" data-aos=\"res-fadeIn\">\n \n\t\t  \n\t\t \t  \n      \n      <div class=\"layout-1 txt-section\">\n\t\t<div class=\"row\">\t\n\t\t\t\n\t\t\n\t\t\t<div class=\"col-md-10 var-1spalten text-left\">\n\t\t\t\t\n\t\t\t\t<div class=\"txt-title-field\">\n\t\n\t\t\t\t\t\n\t\t\n\t\t\t\t\n\t\t\t\t \n\t\t\t\t   <h3 class=\"title-h3 \">Agentic Tools Components<\/h3>\n\t\t\t\t\t\n\t\t\t\t\t \n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t\t\t\t\t<div class=\"txt-textfield postContent pt-md-2 \">\n                        <p>With assigned tools, the agent can perform specific tasks, such as calculations, executing programs, or using APIs. The tools expand the agent&#8217;s capabilities by helping it solve problems or providing additional functions.<\/p>\n\t\t\t\t\t<\/div>\n                \n                \n\t\t\t\t\t            <\/div>\n\t\t\t\t <\/div> \t\n\t\t<\/div>\n\t \n\t  \n \n \n\t<\/div>\n<\/section>\n\n\n\n\n\n\n<section id=\"res-txt-block_c1fe1e0ebcfd8dff77907289ad8b80a9\" class=\"res-block res-txt style-standard layout01 pt-3 Transparent\" style=\"background: transparent;\">\n  <div class=\"inner-container container-off \" data-aos=\"res-fadeIn\">\n \n\t\t  \n\t\t \t  \n      \n      <div class=\"layout-1 txt-section\">\n\t\t<div class=\"row\">\t\n\t\t\t\n\t\t\n\t\t\t<div class=\"col-md-10 var-1spalten text-left\">\n\t\t\t\t\n\t\t\t\t<div class=\"txt-title-field\">\n\t\n\t\t\t\t\t\n\t\t\n\t\t\t\t\n\t\t\t\t \n\t\t\t\t   <h3 class=\"title-h3 \">Agentic Memory Components<\/h3>\n\t\t\t\t\t\n\t\t\t\t\t \n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t\t\t\t\t<div class=\"txt-textfield postContent pt-md-2 \">\n                        <p>Agentic memory stores information that the agent collects over time, such as previous interactions or results. This allows the agent to draw on past experiences to improve its decisions and better understand the context.<\/p>\n\t\t\t\t\t<\/div>\n                \n                \n\t\t\t\t\t            <\/div>\n\t\t\t\t <\/div> \t\n\t\t<\/div>\n\t \n\t  \n \n \n\t<\/div>\n<\/section>\n\n\n\n\n\n\n<section id=\"res-txt-block_f9dfdbc25fa6a4095df7b4c5498aed1c\" class=\"res-block res-txt style-standard layout01 pt-3 Transparent\" style=\"background: transparent;\">\n  <div class=\"inner-container container-off \" data-aos=\"res-fadeIn\">\n \n\t\t  \n\t\t \t  \n      \n      <div class=\"layout-1 txt-section\">\n\t\t<div class=\"row\">\t\n\t\t\t\n\t\t\n\t\t\t<div class=\"col-md-10 var-1spalten text-left\">\n\t\t\t\t\n\t\t\t\t<div class=\"txt-title-field\">\n\t\n\t\t\t\t\t\n\t\t\n\t\t\t\t\n\t\t\t\t \n\t\t\t\t   <h3 class=\"title-h3 \">Hallucinations<\/h3>\n\t\t\t\t\t\n\t\t\t\t\t \n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t\t\t\t\t<div class=\"txt-textfield postContent pt-md-2 \">\n                        <p>Today, almost exclusively, agents with predefined code paths are used in companies and organizations. The reason for this is obvious. The most crucial component of an agent is the<strong> LLM (Large Language Model)<\/strong>\u2014a pre-trained model with <strong>billions of parameters<\/strong>, capable of generating new content.<\/p>\n<p>However, LLMs only ever predict the next token (letter, word) based on probability. They do not understand the context of a sentence in the way humans do. This is why it is essential to implement <strong>automated validation processes<\/strong> (code paths) in the background to detect and correct hallucinations in LLM outputs.<\/p>\n\t\t\t\t\t<\/div>\n                \n                \n\t\t\t\t\t            <\/div>\n\t\t\t\t <\/div> \t\n\t\t<\/div>\n\t \n\t  \n \n \n\t<\/div>\n<\/section>\n\n\n\n\n\n\n<section id=\"res-txt-block_c2e8c6e351d37bb102f718e949fa5832\" class=\"res-block res-txt style-standard layout01 pt-3 Transparent\" style=\"background: transparent;\">\n  <div class=\"inner-container container-off \" data-aos=\"res-fadeIn\">\n \n\t\t  \n\t\t \t  \n      \n      <div class=\"layout-1 txt-section\">\n\t\t<div class=\"row\">\t\n\t\t\t\n\t\t\n\t\t\t<div class=\"col-md-10 var-1spalten text-left\">\n\t\t\t\t\n\t\t\t\t<div class=\"txt-title-field\">\n\t\n\t\t\t\t\t\n\t\t\n\t\t\t\t\n\t\t\t\t \n\t\t\t\t   <h3 class=\"title-h3 \">On-Prem\/Offline LLMs<\/h3>\n\t\t\t\t\t\n\t\t\t\t\t \n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t\t\t\t\t<div class=\"txt-textfield postContent pt-md-2 \">\n                        <p>No one in the business world wants to miss out on the capabilities of LLMs (such as GPT). But how can this be reconciled with data protection, especially when <strong>dealing with sensitive data<\/strong>? One way to ensure complete security is to use an <strong>on-premises (offline) LLM server<\/strong> that operates without internet access.<\/p>\n<p>For the past few weeks, we\u2019ve had our own NVIDIA GPU-based server\u2014and we\u2019re thrilled by how well offline LLM applications can be implemented. So, what does our server look like, and where is it located?<\/p>\n\t\t\t\t\t<\/div>\n                \n                \n\t\t\t\t\t            <\/div>\n\t\t\t\t <\/div> \t\n\t\t<\/div>\n\t \n\t  \n \n \n\t<\/div>\n<\/section>\n\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-8f761849 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:66.66%\">\r\n<section id=\"res-video-play-html-block_d8dc73481c553bcfa41663d83d859dbc\" data-platform=\"html5\" data-onready=\"onYTPlayerReady\" data-onstatechange=\"onYTPlayerStateChange\" class=\"res-video-block res-video-play-html style-standard py-2 Transparent video-play\">\r\n\t<div class=\"html-video text-center\" data-aos=\"res-fadeIn\">\r\n\r\n\t\t<style>\r\n\t\t\t\t\t\t\t\t\t            #res-video-play-html-block_d8dc73481c553bcfa41663d83d859dbc.res-video-play-html .res-vid-time {display: none !important;}\r\n\t\t\t\t\t\t\t}\r\n\t\t\t\t\t<\/style>\r\n\r\n\t\t<div class=\"res-vid-frame videobox-clean\">\r\n\t\t\t<div id=\"video_block_d8dc73481c553bcfa41663d83d859dbc\" class=\"res-vid-container mr-auto\">\r\n\r\n\t\t\t\t<!-- VIDEO PLAY BUTTON -->\r\n\t\t\t\t<div class=\"res-vid-play-btn\"><\/div>\r\n\r\n\t\t\t\t<div class=\"res-vid-overlay\"\r\n\t\t\t\t\t\t\t\t\t\t\tdata-desktop=\"https:\/\/www.automatify.ch\/wp-content\/uploads\/2025\/03\/Local_LLM_Automatify.mp4\"\r\n\t\t\t\t\t\tdata-desktop_mime=\"video\/mp4\"\r\n\t\t\t\t\t\tdata-desktop_poster=\"\"\r\n\t\t\t\t\t\tdata-mobile=\"https:\/\/www.automatify.ch\/wp-content\/uploads\/2025\/03\/Local_LLM_Automatify.mp4\"\r\n\t\t\t\t\t\tdata-mobile_mime=\"video\/mp4\"\r\n\t\t\t\t\t\tdata-mobile_poster=\"\"\r\n\t\t\t\t\t\r\n\t\t\t\t\t>\r\n\r\n\t\t\t\t\t\r\n\t\t\t\t\t<!-- VIDEO MAIN -->\r\n\t\t\t\t\t\t\t\t\t\t\t<video class=\"res-vid-main w-100\"  playsinline preload poster=\"\">\r\n\t\t\t\t\t\t <source src=\"https:\/\/www.automatify.ch\/wp-content\/uploads\/2025\/03\/Local_LLM_Automatify.mp4\" type=\" video\/mp4\" \/>\r\n\t\t\t\t\t\t<\/video>\r\n\t\t\t\t\t\r\n\t\t\t\t\t<!-- VIDEO Poster \/ Video -->\r\n\t\t\t\t\t<!--\t\t\t\t\t-->\t\t\t\t\t\t\t\t\t<\/div>\r\n\r\n\t\t\t\t\r\n\t\t\t\t\t\t\t\t\t\t\t<!-- CONTROLS -->\r\n\t\t\t\t\t\t<div class=\"res-vid-control\" style=\"display: none;\">\r\n\t\t\t\t\t\t\t<div class=\"res-vid-reset-btn\" title=\"Video schliessen\">\r\n                                <i class=\"fa-light fa-xmark\"><\/i>\r\n\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t\t\t\t<div class=\"res-vid-playback-btn\" title=\"Wiedergabe steuern\">\r\n                                <i class=\"fa-light fa-pause\"><\/i>\r\n\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t\t\t\t<div class=\"res-vid-mute-btn\" title=\"Sound on off\">\r\n                                <i class=\"fa-solid fa-volume-high\"><\/i>\r\n\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t\t\t<\/div>\r\n\t\t\t\t\t\r\n\t\t\t\t\t\r\n\t\t\t\t\t\t\t\t\t\t\t<!-- PROGRESS -->\r\n\t\t\t\t\t\t<div class=\"res-vid-progressbar-container\" style=\"display: none;\">\r\n\t\t\t\t\t\t\t<div class=\"res-vid-progress\"><\/div>\r\n\t\t\t\t\t\t<\/div>\r\n\t\t\t\t\t\r\n\t\t\t\t\r\n\t\t\t<\/div>\r\n\t\t<\/div>\r\n\r\n\t<\/div>\r\n<\/section>\r\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.33%\"><\/div>\n<\/div>\n\n\n\n\n\n<section id=\"res-txt-block_6e1e9db41a7312e0110f7d774ff7fe88\" class=\"res-block res-txt style-standard layout01 pt-3 Transparent\" style=\"background: transparent;\">\n  <div class=\"inner-container container-off \" data-aos=\"res-fadeIn\">\n \n\t\t  \n\t\t \t  \n      \n      <div class=\"layout-1 txt-section\">\n\t\t<div class=\"row\">\t\n\t\t\t\n\t\t\n\t\t\t<div class=\"col-md-10 var-1spalten text-left\">\n\t\t\t\t\n\t\t\t\t<div class=\"txt-title-field\">\n\t\n\t\t\t\t\t\n\t\t\n\t\t\t\t\n\t\t\t\t \n\t\t\t\t   <h3 class=\"title-h3 \">Agentic AI and Validations<\/h3>\n\t\t\t\t\t\n\t\t\t\t\t \n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t\t\t\t\t<div class=\"txt-textfield postContent pt-md-2 \">\n                        <p>When LLM-based agents are used in automation solutions, it is almost<strong> 100% certain<\/strong> that a validation component will also be required. This ensures that missing or incorrect information can be corrected or supplemented by the user. <strong>Validation apps<\/strong> should always be &#8220;<strong>built for purpose<\/strong>&#8221; with a modern and intuitive user experience.<\/p>\n\t\t\t\t\t<\/div>\n                \n                \n\t\t\t\t\t            <\/div>\n\t\t\t\t <\/div> \t\n\t\t<\/div>\n\t \n\t  \n \n \n\t<\/div>\n<\/section>\n\n\n\n\n\n\n<section id=\"res-txt-block_08ff80bd4a7dde502bb833d39ddb299f\" class=\"res-block res-txt style-standard layout01 pt-3 Transparent\" style=\"background: transparent;\">\n  <div class=\"inner-container container-off \" data-aos=\"res-fadeIn\">\n \n\t\t  \n\t\t \t  \n      \n      <div class=\"layout-1 txt-section\">\n\t\t<div class=\"row\">\t\n\t\t\t\n\t\t\n\t\t\t<div class=\"col-md-10 var-1spalten text-left\">\n\t\t\t\t\n\t\t\t\t<div class=\"txt-title-field\">\n\t\n\t\t\t\t\t\n\t\t\n\t\t\t\t\n\t\t\t\t \n\t\t\t\t   <h3 class=\"title-h3 \">Agent Builder Frameworks<\/h3>\n\t\t\t\t\t\n\t\t\t\t\t \n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t\t\t\t\t<div class=\"txt-textfield postContent pt-md-2 \">\n                        <p>Various providers, such as UiPath, Automation Anywhere, or Microsoft, offer frameworks for building agents. These <strong>low-code\/no-code platforms<\/strong> allow agents to be developed quickly for specific tasks.<\/p>\n<p>In contrast, the API approach brings agents to life through a software development process. Depending on the task, complexity, licensing costs, and other factors, one approach may be more suitable than the other. However, one thing remains the same:<strong> a solid understanding of software technology is essential<\/strong> to successfully implement and operate processes using this exciting technology.<\/p>\n\t\t\t\t\t<\/div>\n                \n                \n\t\t\t\t\t            <\/div>\n\t\t\t\t <\/div> \t\n\t\t<\/div>\n\t \n\t  \n \n \n\t<\/div>\n<\/section>\n\n\n\n\n\n\n<section id=\"res-txt-block_6dd9270dbcbc584f98ca058e37e65da3\" class=\"res-block res-txt style-standard layout01 p-no Transparent\" style=\"background: transparent;\">\n  <div class=\"inner-container container-off \" data-aos=\"res-fadeIn\">\n \n\t\t  \n\t\t \t  \n      \n      <div class=\"layout-1 txt-section\">\n\t\t<div class=\"row\">\t\n\t\t\t\n\t\t\n\t\t\t<div class=\"col-md-10 var-1spalten text-left\">\n\t\t\t\t\n\t\t\t\t<div class=\"txt-title-field\">\n\t\n\t\t\t\t\t\n\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t \n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t\t\t\t\t<div class=\"txt-textfield postContent pt-md-2 \">\n                        <p>Discover in our <strong><a class=\"brand-color-orange\" href=\"https:\/\/www.automatify.ch\/en\/kunden\/agentic-ai-invoicing\/\">use case<\/a><\/strong> how we have <strong>fully automated<\/strong> our client&#8217;s billing process by <strong>combining RPA and Agentic AI<\/strong>.<\/p>\n\t\t\t\t\t<\/div>\n                \n                \n\t\t\t\t\t            <\/div>\n\t\t\t\t <\/div> \t\n\t\t<\/div>\n\t \n\t  \n \n \n\t<\/div>\n<\/section>\n\n\n\n\n\n\n<section id=\"res-txt-block_5aba95796e5edccf3a7abb81b5a53c1e\" class=\"res-block res-txt style-standard layout01 py-3 Transparent\" style=\"background: transparent;\">\n  <div class=\"inner-container container-off \" data-aos=\"res-fadeIn\">\n \n\t\t  \n\t\t \t  \n      \n      <div class=\"layout-1 txt-section\">\n\t\t<div class=\"row\">\t\n\t\t\t\n\t\t\n\t\t\t<div class=\"col-md-10 var-1spalten text-left\">\n\t\t\t\t\n\t\t\t\t<div class=\"txt-title-field\">\n\t\n\t\t\t\t\t\n\t\t\n\t\t\t\t\n\t\t\t\t \n\t\t\t\t   <h3 class=\"title-h3 \">Contact us<\/h3>\n\t\t\t\t\t\n\t\t\t\t\t \n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t\t\t\t\t<div class=\"txt-textfield postContent pt-md-2 \">\n                        <p>Do you have any questions about the topic of Agentic AI? We will be glad to answer them.<\/p>\n\t\t\t\t\t<\/div>\n                \n                \t\t\t\t\t <div class=\"txt-textfield-btns pt-2 text-left \">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"btn  btn-arrow \" href=\"https:\/\/www.automatify.ch\/en\/contact\/\" target=\"_self\">Contact us<\/a>\n                                \t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n                \n\t\t\t\t\t            <\/div>\n\t\t\t\t <\/div> \t\n\t\t<\/div>\n\t \n\t  \n \n \n\t<\/div>\n<\/section>\n\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":2,"featured_media":10205,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","footnotes":""},"categories":[1],"tags":[],"class_list":["post-9764","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog-en"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.automatify.ch\/en\/wp-json\/wp\/v2\/posts\/9764","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.automatify.ch\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.automatify.ch\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.automatify.ch\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.automatify.ch\/en\/wp-json\/wp\/v2\/comments?post=9764"}],"version-history":[{"count":22,"href":"https:\/\/www.automatify.ch\/en\/wp-json\/wp\/v2\/posts\/9764\/revisions"}],"predecessor-version":[{"id":10268,"href":"https:\/\/www.automatify.ch\/en\/wp-json\/wp\/v2\/posts\/9764\/revisions\/10268"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.automatify.ch\/en\/wp-json\/wp\/v2\/media\/10205"}],"wp:attachment":[{"href":"https:\/\/www.automatify.ch\/en\/wp-json\/wp\/v2\/media?parent=9764"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.automatify.ch\/en\/wp-json\/wp\/v2\/categories?post=9764"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.automatify.ch\/en\/wp-json\/wp\/v2\/tags?post=9764"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}