{"id":10207,"date":"2025-12-19T14:56:24","date_gmt":"2025-12-19T13:56:24","guid":{"rendered":"https:\/\/www.mickyweis.com\/hvad-er-agentic-ai-og-hvordan-kan-den-traeffe-beslutninger-uden-konstant-menneskelig-input\/"},"modified":"2025-12-22T14:58:35","modified_gmt":"2025-12-22T13:58:35","slug":"agentic-ai","status":"publish","type":"post","link":"https:\/\/www.mickyweis.com\/en\/agentic-ai\/","title":{"rendered":"Agentic AI in digital marketing: Autonomous intelligence at work"},"content":{"rendered":"<p>Artificial intelligence has developed significantly over recent years and has moved from being primarily an analysis and automation tool to increasingly being able to act independently.<\/p>\n<p>It is no secret that I am quite enthusiastic about this development and follow it closely, especially in relation to efficiency opportunities within marketing.<\/p>\n<p><strong>One of the concepts that is gaining more and more attention is agentic AI.<\/strong><\/p>\n<p>Where many are familiar with AI systems that react to specific inputs, agentic AI represents a step further. These are systems that can plan, act, and make decisions over time with minimal human involvement.<\/p>\n<p>Let us take a closer look at what agentic AI actually is, how it works, and what implications it may have for digital marketing and business processes.<\/p>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_82_2 ez-toc-wrap-left counter-hierarchy ez-toc-counter ez-toc-custom ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Jump to section<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #000000;color:#000000\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #000000;color:#000000\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/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.mickyweis.com\/en\/agentic-ai\/#What_is_agentic_AI\" >What is agentic AI?<\/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.mickyweis.com\/en\/agentic-ai\/#How_does_agentic_AI_differ_from_traditional_AI\" >How does agentic AI differ from traditional AI?<\/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.mickyweis.com\/en\/agentic-ai\/#How_can_agentic_AI_make_decisions_independently\" >How can agentic AI make decisions independently?<\/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.mickyweis.com\/en\/agentic-ai\/#Typical_use_cases_for_agentic_AI\" >Typical use cases for agentic AI<\/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.mickyweis.com\/en\/agentic-ai\/#Benefits_of_agentic_AI\" >Benefits of agentic AI<\/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.mickyweis.com\/en\/agentic-ai\/#Challenges_and_risks_of_agentic_AI\" >Challenges and risks of agentic 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.mickyweis.com\/en\/agentic-ai\/#How_to_implement_agentic_AI\" >How to implement agentic AI<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/www.mickyweis.com\/en\/agentic-ai\/#The_future_of_agentic_AI\" >The future of agentic AI<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/www.mickyweis.com\/en\/agentic-ai\/#A_new_way_of_working_with_AI\" >A new way of working with AI<\/a><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"What_is_agentic_AI\"><\/span>What is agentic AI?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Agentic AI refers to <a href=\"https:\/\/www.mickyweis.com\/en\/ai-course\/\">artificial intelligence<\/a> that operates as an independent agent.<\/p>\n<p>This means that the system does not merely respond to individual queries or commands, but can work purposefully toward an overarching goal over time.<\/p>\n<p>An agentic AI can analyze its context, make decisions, perform actions, and adjust its behavior based on feedback without constant human control.<\/p>\n<p>Unlike traditional AI models, which typically perform one clearly defined task at a time, agentic AI is designed to handle complex workflows.<\/p>\n<blockquote><p><strong>Where classic AI is often reactive, agentic AI is more proactive.<\/strong><\/p><\/blockquote>\n<p>It can prioritize tasks, choose between different courses of action, and determine on its own when additional information is needed.<\/p>\n<p><a href=\"https:\/\/www.mickyweis.com\/en\/ai-agents-guide\/\">Read more about AI agents in my post here.<\/a><\/p>\n<div class=\"greenbox\">\n<h2><span class=\"ez-toc-section\" id=\"How_does_agentic_AI_differ_from_traditional_AI\"><\/span>How does agentic AI differ from traditional AI?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>To understand agentic AI, it is useful to look at the difference between three overarching levels of AI usage.<\/p>\n<p>Traditional rule based automation follows fixed instructions and only reacts to predefined events.<\/p>\n<p>Machine learning and modern <a href=\"https:\/\/www.mickyweis.com\/en\/ai-tools\/\">AI models<\/a> can analyze data, recognize patterns, and generate output based on probabilities, but they typically require a clear input and a clear purpose for each action.<\/p>\n<p>Agentic AI combines these capabilities and adds a layer of autonomy. The system can define sub tasks, evaluate results, and decide on the next steps itself.<\/p>\n<blockquote><p><strong>Where traditional AI answers questions, agentic AI can ask them on its own.<\/strong><\/p><\/blockquote>\n<p>This allows it to function more like a digital employee than a single-purpose tool.<\/p>\n<\/div>\n<h2><span class=\"ez-toc-section\" id=\"How_can_agentic_AI_make_decisions_independently\"><\/span>How can agentic AI make decisions independently?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>The decision making capability of agentic AI is built on a combination of several technological components that together enable autonomous behavior.<\/p>\n<p>First and foremost, agentic AI operates with a clearly defined goal or set of objectives.<\/p>\n<p>This could be to optimize performance, reduce costs, or increase conversions, for example.<\/p>\n<blockquote><p><strong>These goals act as a compass for the system\u2019s actions.<\/strong><\/p><\/blockquote>\n<p>Next, the system continuously collects data. Agentic AI can retrieve information from various sources, analyze changes in the environment, and assess whether the current strategy is appropriate.<\/p>\n<p>Based on this analysis, the AI can plan the next steps.<\/p>\n<p>This may involve testing different initiatives, selecting the most effective solution, and continuously adjusting the strategy.<\/p>\n<p><a href=\"https:\/\/www.mickyweis.com\/en\/a-b-testing\/\">Read more about A\/B testing in my post here.<\/a><\/p>\n<p>Feedback, both positive and negative, is actively used to improve the decision making process over time.<\/p>\n<p>The key point is that human input is not required for every decision, but instead serves as overarching guidance and control.<\/p>\n<div class=\"greenbox\">\n<h2><span class=\"ez-toc-section\" id=\"Typical_use_cases_for_agentic_AI\"><\/span>Typical use cases for agentic AI<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Agentic AI can be applied in a wide range of contexts, but the technology has particularly strong potential within digital and data driven areas.<\/p>\n<p>Within <strong>marketing<\/strong>, agentic AI can monitor campaign performance across channels, adjust budgets, optimize messaging, and test new variations without a marketing employee having to manually intervene every time.<\/p>\n<blockquote><p><strong>The system can identify what works and act accordingly.<\/strong><\/p><\/blockquote>\n<p>In <strong>e-commerce<\/strong>, agentic AI can support dynamic pricing, inventory management, and personalized recommendations.<\/p>\n<p>Here, the AI continuously analyzes customer behavior and market trends and makes decisions that support both revenue and <a href=\"https:\/\/www.mickyweis.com\/en\/user-experience\/\">customer experience.<\/a><\/p>\n<p>Within <strong>customer service<\/strong>, supply chain, and product development, examples are also emerging of agentic AI that prioritizes tasks and makes decisions based on real time data.<\/p>\n<p><a href=\"https:\/\/www.mickyweis.com\/en\/ai-customer-support\/\">Read more about AI\u2019s role in customer service in my post here.<\/a><\/p>\n<p>There are, of course, many more types of applications for agentic AI. You can read more about them in the article here from <a href=\"https:\/\/hbr.org\/2024\/12\/what-is-agentic-ai-and-how-will-it-change-work\">Harvard Business Review.<\/a><\/p>\n<\/div>\n<h2><span class=\"ez-toc-section\" id=\"Benefits_of_agentic_AI\"><\/span>Benefits of agentic AI<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>There are several clear benefits to working with agentic AI, especially for organizations with complex digital processes.<\/p>\n<blockquote><p><strong>One of the greatest advantages is efficiency.<\/strong><\/p><\/blockquote>\n<p>When AI systems can handle decisions and adjustments on their own, the need for manual monitoring is reduced.<\/p>\n<p>Agentic AI can also react faster than humans. In digital environments where data changes constantly, rapid decisions can be critical.<\/p>\n<p>The AI can identify patterns and act in real time, which can provide a competitive advantage.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Challenges_and_risks_of_agentic_AI\"><\/span>Challenges and risks of agentic AI<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Despite its significant potential, agentic AI also comes with challenges. One of the most important is control and transparency.<\/p>\n<p>When AI systems make decisions autonomously, it can be difficult to fully understand why a specific decision was made.<\/p>\n<p>Additionally, agentic AI requires clear frameworks and ethically responsible implementation. If objectives are not properly defined, the system may optimize in an undesirable direction.<\/p>\n<blockquote><p><strong>Data quality is also a critical factor.<\/strong><\/p><\/blockquote>\n<p>Agentic AI is only as good as the <a href=\"https:\/\/www.mickyweis.com\/en\/big-data-webanalysis\/\">data<\/a> it works with. Incorrect or biased datasets can lead to suboptimal or even problematic decisions.<\/p>\n<div class=\"greenbox\">\n<h2><span class=\"ez-toc-section\" id=\"How_to_implement_agentic_AI\"><\/span>How to implement agentic AI<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>A successful implementation of agentic AI begins with clear objectives. It is essential to define what the AI is allowed and not allowed to make decisions about, as well as which <a href=\"https:\/\/www.mickyweis.com\/en\/definition-for-kpi\/\">KPIs<\/a> it should operate based on.<\/p>\n<p>Next, the system should be implemented gradually. Many organizations start with semi autonomous solutions where the AI proposes actions that humans can approve.<\/p>\n<p>Over time, the level of autonomy can be increased as trust in the system grows.<\/p>\n<p>It is also important to establish clear feedback mechanisms and monitoring.<\/p>\n<p>Agentic AI should be continuously evaluated to ensure that its decisions align with the company\u2019s values and strategic goals.<\/p>\n<\/div>\n<h2><span class=\"ez-toc-section\" id=\"The_future_of_agentic_AI\"><\/span>The future of agentic AI<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>The development of agentic AI is still in an early phase, but the trend is clear.<\/p>\n<p>AI systems are becoming more independent, more context aware, and better at collaborating with humans.<\/p>\n<p>As the technology matures, agentic AI will likely become an integrated part of many digital platforms and tools.<\/p>\n<p>For companies that want to stay ahead, the focus should be on understanding the technology now and beginning to experiment responsibly.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"A_new_way_of_working_with_AI\"><\/span>A new way of working with AI<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Agentic AI represents a shift in how we use artificial intelligence.<\/p>\n<p>From being a reactive tool, AI is increasingly becoming an active collaborator that can take initiative and make decisions.<\/p>\n<p>This creates new opportunities for efficiency, scalability, and performance, but also introduces a need for new competencies and ethical awareness.<\/p>\n<p>In short, agentic AI makes it possible to think of AI as an agent that does not merely assist, but actively contributes to decision making processes in a digital world that is constantly evolving.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Artificial intelligence has developed significantly over recent years and has moved from being primarily an analysis and automation tool to increasingly being able to act [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":6318,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[111],"series":[],"class_list":["post-10207","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>What is agentic AI? 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