{"id":21654,"date":"2026-08-24T20:03:58","date_gmt":"2026-08-24T18:03:58","guid":{"rendered":"https:\/\/inkubitstaging.wpenginepowered.com\/blog\/2026\/08\/24\/agentic-ai-in-the-enterprise-why-a-new-software-architecture-emerges\/"},"modified":"2026-08-24T20:03:58","modified_gmt":"2026-08-24T18:03:58","slug":"agentic-ai-in-the-enterprise-why-a-new-software-architecture-emerges","status":"publish","type":"post","link":"https:\/\/www.inkubit.com\/en\/blog\/2026\/08\/24\/agentic-ai-in-the-enterprise-why-a-new-software-architecture-emerges\/","title":{"rendered":"Agentic AI in the Enterprise: Why a New Software Architecture Is Emerging"},"content":{"rendered":"<p><a href=\"https:\/\/www.inkubit.com\/themen\/kunstliche-intelligenz\/\">Artificial intelligence<\/a> has already taken the step from experiments to productive applications in many companies. But with the growing use, the role of software is also changing. Instead of individual tools, systems are increasingly emerging that plan and execute tasks independently. This development is often described as Agentic AI.   <\/p>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_85 counter-hierarchy ez-toc-counter ez-toc-custom ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<div class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/div>\n<span class=\"ez-toc-title-toggle\"><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/www.inkubit.com\/en\/blog\/2026\/08\/24\/agentic-ai-in-the-enterprise-why-a-new-software-architecture-emerges\/#AI_has_arrived_in_companies\" >AI has arrived in companies<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.inkubit.com\/en\/blog\/2026\/08\/24\/agentic-ai-in-the-enterprise-why-a-new-software-architecture-emerges\/#From_AI_tools_to_AI_systems\" >From AI tools to AI systems<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/www.inkubit.com\/en\/blog\/2026\/08\/24\/agentic-ai-in-the-enterprise-why-a-new-software-architecture-emerges\/#What_Agentic_AI_Means\" >What Agentic AI Means<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/www.inkubit.com\/en\/blog\/2026\/08\/24\/agentic-ai-in-the-enterprise-why-a-new-software-architecture-emerges\/#The_emerging_enterprise_AI_stack\" >The emerging enterprise AI stack<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/www.inkubit.com\/en\/blog\/2026\/08\/24\/agentic-ai-in-the-enterprise-why-a-new-software-architecture-emerges\/#Why_governance_is_becoming_crucial\" >Why governance is becoming crucial<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/www.inkubit.com\/en\/blog\/2026\/08\/24\/agentic-ai-in-the-enterprise-why-a-new-software-architecture-emerges\/#Typical_challenges_with_enterprise_AI\" >Typical challenges with enterprise AI<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/www.inkubit.com\/en\/blog\/2026\/08\/24\/agentic-ai-in-the-enterprise-why-a-new-software-architecture-emerges\/#Conclusion\" >Conclusion<\/a><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"AI_has_arrived_in_companies\"><\/span>AI has arrived in companies<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Many organizations have already integrated AI into operational processes. The use ranges from analysis tools to automation and assistance systems. The <a href=\"http:\/\/Quelle: NVIDIA State of AI Report\">NVIDIA State of AI Report<\/a>, based on more than 3,200 company surveys, shows how far this development has already progressed.  <\/p>\n<p>Some key findings*:<\/p>\n<ul data-spread=\"false\">\n<li>76% of large companies are actively using AI<\/li>\n<li>22% evaluate the use<\/li>\n<li>only 2% do not yet use AI<\/li>\n<\/ul>\n<p>Economic effects are also visible. According to the report, 88% of companies say that AI has led to increased sales in parts of their business. These figures show one thing above all: AI is increasingly becoming part of the corporate infrastructure.  <\/p>\n<p><img decoding=\"async\" class=\"alignnone wp-image-20186 \" src=\"https:\/\/www.inkubit.com\/wp-content\/uploads\/2026\/03\/ChatGPT-Image-Mar-11-2026-09_30_28-PM-e1773261102721.jpg\" alt=\"Agentic AI in the Enterprise\" width=\"577\" height=\"613\" srcset=\"https:\/\/www.inkubit.com\/wp-content\/uploads\/2026\/03\/ChatGPT-Image-Mar-11-2026-09_30_28-PM-e1773261102721.jpg 1024w, https:\/\/www.inkubit.com\/wp-content\/uploads\/2026\/03\/ChatGPT-Image-Mar-11-2026-09_30_28-PM-e1773261102721-282x300.jpg 282w, https:\/\/www.inkubit.com\/wp-content\/uploads\/2026\/03\/ChatGPT-Image-Mar-11-2026-09_30_28-PM-e1773261102721-964x1024.jpg 964w, https:\/\/www.inkubit.com\/wp-content\/uploads\/2026\/03\/ChatGPT-Image-Mar-11-2026-09_30_28-PM-e1773261102721-376x400.jpg 376w, https:\/\/www.inkubit.com\/wp-content\/uploads\/2026\/03\/ChatGPT-Image-Mar-11-2026-09_30_28-PM-e1773261102721-56x60.jpg 56w, https:\/\/www.inkubit.com\/wp-content\/uploads\/2026\/03\/ChatGPT-Image-Mar-11-2026-09_30_28-PM-e1773261102721-66x70.jpg 66w\" sizes=\"(max-width: 577px) 100vw, 577px\" \/><\/p>\n<h2><span class=\"ez-toc-section\" id=\"From_AI_tools_to_AI_systems\"><\/span>From AI tools to AI systems<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Many organizations are starting their AI initiatives with individual applications. Often these are: <\/p>\n<ul data-spread=\"false\">\n<li>Chatbots<\/li>\n<li>Copilot Assistant<\/li>\n<li>Automation of individual processes<\/li>\n<\/ul>\n<p>Such applications deliver quickly visible results. At the same time, they often remain isolated solutions. However, as usage increases, another problem arises. Organizations need to coordinate multiple models, data sources, and workflows. This shifts the focus from individual tools to AI systems that are integrated into existing processes. This is where the transition to Agentic AI begins.     <\/p>\n<h2><span class=\"ez-toc-section\" id=\"What_Agentic_AI_Means\"><\/span>What Agentic AI Means<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>The term describes systems that not only generate answers, but can also perform multi-level tasks independently.<\/p>\n<p>For example, an AI agent can:<\/p>\n<ul data-spread=\"false\">\n<li>Research information<\/li>\n<li>Plan work steps<\/li>\n<li>Control different applications<\/li>\n<li>Merge results<\/li>\n<\/ul>\n<p>This is increasingly resulting in software solutions consisting of several specialized agents. Kearney&#8217;s analyses describe this development as a new software architecture around agentic systems. <\/p>\n<p><img decoding=\"async\" class=\"alignnone wp-image-20184 \" src=\"https:\/\/www.inkubit.com\/wp-content\/uploads\/2026\/03\/ChatGPT-Image-Mar-11-2026-08_57_07-PM-e1773259991344.jpg\" alt=\"Agentic AI Enterprise AI Stack\" width=\"652\" height=\"762\" srcset=\"https:\/\/www.inkubit.com\/wp-content\/uploads\/2026\/03\/ChatGPT-Image-Mar-11-2026-08_57_07-PM-e1773259991344.jpg 1024w, https:\/\/www.inkubit.com\/wp-content\/uploads\/2026\/03\/ChatGPT-Image-Mar-11-2026-08_57_07-PM-e1773259991344-257x300.jpg 257w, https:\/\/www.inkubit.com\/wp-content\/uploads\/2026\/03\/ChatGPT-Image-Mar-11-2026-08_57_07-PM-e1773259991344-877x1024.jpg 877w, https:\/\/www.inkubit.com\/wp-content\/uploads\/2026\/03\/ChatGPT-Image-Mar-11-2026-08_57_07-PM-e1773259991344-342x400.jpg 342w, https:\/\/www.inkubit.com\/wp-content\/uploads\/2026\/03\/ChatGPT-Image-Mar-11-2026-08_57_07-PM-e1773259991344-51x60.jpg 51w, https:\/\/www.inkubit.com\/wp-content\/uploads\/2026\/03\/ChatGPT-Image-Mar-11-2026-08_57_07-PM-e1773259991344-60x70.jpg 60w\" sizes=\"(max-width: 652px) 100vw, 652px\" \/><\/p>\n<h2><span class=\"ez-toc-section\" id=\"The_emerging_enterprise_AI_stack\"><\/span>The emerging enterprise AI stack<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>With Agentic AI, a new technical structure is being created. Instead of individual applications, several levels work together. <\/p>\n<p>A simplified architecture typically looks like this:<\/p>\n<table>\n<tbody>\n<tr>\n<th>Level<\/th>\n<th>Function<\/th>\n<\/tr>\n<tr>\n<td>Business Applications<\/td>\n<td>Specialist applications and business processes<\/td>\n<\/tr>\n<tr>\n<td>AI Agents<\/td>\n<td>Autonomous agents for tasks and analyses<\/td>\n<\/tr>\n<tr>\n<td>Orchestration Layer<\/td>\n<td>Coordination of several agents<\/td>\n<\/tr>\n<tr>\n<td>Governance &#038; Security<\/td>\n<td>Control, Policies, and Compliance<\/td>\n<\/tr>\n<tr>\n<td>Data Platform<\/td>\n<td>Data Platform and Models<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>This structure shows that AI is increasingly being operated like a platform. The challenge lies less in individual models than in the integration and control of the entire system. <\/p>\n<h2><span class=\"ez-toc-section\" id=\"Why_governance_is_becoming_crucial\"><\/span>Why governance is becoming crucial<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>The more companies integrate AI into operational processes, the more important control mechanisms become. Agentic systems can prepare decisions or execute them automatically. This creates new requirements for control and transparency.  <\/p>\n<p>Typical questions are:<\/p>\n<ul data-spread=\"false\">\n<li>Who monitors AI decisions?<\/li>\n<li>How are models checked?<\/li>\n<li>How do traceable audit trails come about?<\/li>\n<\/ul>\n<p>These topics are often summarized under the term AI governance. Large technology providers are also increasingly integrating governance functions into their platforms. For example, Microsoft is expanding its Copilot platform to include capabilities to manage AI agents within enterprise environments.  <\/p>\n<h2><span class=\"ez-toc-section\" id=\"Typical_challenges_with_enterprise_AI\"><\/span>Typical challenges with enterprise AI<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Many organizations underestimate the structural requirements behind AI systems.<\/p>\n<p>In practice, several hurdles often become apparent:<\/p>\n<ul data-spread=\"false\">\n<li>Insufficient data quality<\/li>\n<li>Lack of architecture for AI workflows<\/li>\n<li>unclear governance structures<\/li>\n<li>siloed AI experiments without integration<\/li>\n<\/ul>\n<p>Especially in larger organizations, this creates a fragmented system of tools and pilot projects. The transition to an integrated AI architecture therefore requires more than new models. Data structures, platform architecture and clear responsibilities are crucial.  <\/p>\n<h2><span class=\"ez-toc-section\" id=\"Conclusion\"><\/span>Conclusion<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>AI is evolving from individual applications to integrated systems in many companies. Agentic AI is a new generation of software in which autonomous agents can plan and execute tasks. The actual competitive advantage is not created by individual AI tools. What matters is how well organizations build a stable architecture for data, models, and governance. Organizations that develop this structure early on create the foundation for scalable enterprise AI systems.    <\/p>\n<p>*Source: <a href=\"https:\/\/enterpriseaiexecutive.ai\/p\/nvidia-s-state-of-ai-3-200-respondents\">NVIDIA State of AI Report<\/a><\/p>\n<p>**Source: <a href=\"https:\/\/www.kearney.com\/service\/digital-analytics\/article\/the-age-of-the-agents-how-agentic-ai-offers-unprecedented-opportunities-to-reimagine-business-processes\">Kearney The Age of Agents<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Agentic AI is transforming enterprise software. The article explains how AI agents work, what architecture is emerging and why governance is becoming crucial. <\/p>\n","protected":false},"author":6,"featured_media":21655,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":"","_links_to":"","_links_to_target":""},"categories":[211],"tags":[213,212,219],"class_list":["post-21654","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog","tag-ai","tag-blog","tag-sales"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v28.2 (Yoast SEO v28.2) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Agentic AI in the Enterprise: The New Software Architecture<\/title>\n<meta name=\"description\" content=\"Agentic AI is transforming enterprise software. 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