{"id":6874,"date":"2026-05-26T11:04:16","date_gmt":"2026-05-26T09:04:16","guid":{"rendered":"https:\/\/artech-consulting.de\/?page_id=6874"},"modified":"2026-05-26T11:06:18","modified_gmt":"2026-05-26T09:06:18","slug":"agentic-ai-im-engineering-vom-assistenzsystem-zum-autonomen-problemloeser","status":"publish","type":"page","link":"https:\/\/artech-consulting.de\/en\/aktuelles\/wussten-sie-schon-2\/agentic-ai-im-engineering-vom-assistenzsystem-zum-autonomen-problemloeser\/","title":{"rendered":"Agentic AI in Engineering: From Assistant System to Autonomous Problem Solver"},"content":{"rendered":"<div id=\"pl-6874\"  class=\"panel-layout\" ><div id=\"pg-6874-0\"  class=\"panel-grid panel-no-style\" ><div id=\"pgc-6874-0-0\"  class=\"panel-grid-cell\" ><div id=\"panel-6874-0-0-0\" class=\"so-panel widget widget_text panel-first-child panel-last-child\" data-index=\"0\" >\t\t\t<div class=\"textwidget\"><p>In many current discussions about AI in engineering, one term is cropping up more and more: agentic AI. Whilst previous AI applications have primarily served as supporting tools \u2013 for example, for analysis, optimisation or content generation \u2013 agentic AI takes a decisive step further. Instead of merely reacting, these systems act independently.<\/p>\n<p><strong>What is agentic AI?<\/strong><br \/>\nAgentic AI refers to AI systems that can act in a goal-oriented, autonomous and adaptive manner. Unlike traditional AI models, which react to individual inputs, agentic AI systems are capable of planning, executing and optimising complex tasks independently.<\/p>\n<p>At their core, such systems consist of so-called AI agents that perceive their environment, make decisions, carry out actions, evaluate results and learn from them. Often, several of these agents work together in so-called multi-agent systems, in which complex tasks are broken down into sub-problems and solved in a coordinated manner. This fundamentally shifts the role of AI \u2013 from a tool to an active participant in the process.<\/p>\n<p><strong>The difference from traditional AI<br \/>\n<\/strong>The key difference lies in the degree of autonomy:<\/p>\n<ul>\n<li>Traditional AI \/ Generative AI: responds to inputs<\/li>\n<li>Agentic AI: independently pursues goals and carries out multi-step tasks<\/li>\n<\/ul>\n<p>Agentic AI can break problems down into individual steps, select suitable tools and use them independently \u2013 such as APIs, software tools or data sources. This capability makes it particularly interesting for complex engineering environments where many systems, data sources and processes are interlinked.<\/p>\n<p><strong>Agentic AI in Engineering: New Possibilities<\/strong><br \/>\nAgentic AI offers enormous potential, particularly in the field of engineering. Typical areas of application include:<\/p>\n<ul>\n<li><strong><em>Automated design and analysis processes<\/em><\/strong><br \/>\nAgents can generate, evaluate and iteratively improve design variants \u2013 without the need to control every step manually.<\/li>\n<li><strong><em>Intelligent data management in PLM<\/em><\/strong><br \/>\nAgentic AI can monitor data pipelines, detect errors and correct them automatically, thereby improving data quality and availability.<\/li>\n<li><strong><em>Workflow automation<\/em><\/strong><br \/>\nComplex engineering processes \u2013 such as approvals, change processes or simulations \u2013 can be coordinated autonomously by agents.<\/li>\n<li><strong><em>Support for system migrations<\/em><\/strong><br \/>\nAgents can analyse data, perform transformations and monitor processes \u2013 a clear added value, particularly during CAD\/PLM migrations.<\/li>\n<\/ul>\n<p><strong>Multi-agent systems: working together as a team<\/strong><br \/>\nOne particularly fascinating aspect is the collaboration between multiple AI agents. In such systems, each agent takes on a specific role, for example:<\/p>\n<ul>\n<li>Data analysis<\/li>\n<li>Simulation<\/li>\n<li>Quality assurance<\/li>\n<li>Documentation<\/li>\n<\/ul>\n<p>These agents communicate with one another, coordinate tasks and, to some extent, organise themselves.<\/p>\n<p>The result:<br \/>\nA digital \u2018team\u2019 that can solve complex engineering problems more quickly and efficiently than isolated systems. The use of Agentic AI in engineering offers numerous benefits, particularly for businesses:<\/p>\n<ul>\n<li><strong><em>Increased efficiency<\/em><\/strong>: automation of complex processes<\/li>\n<li><em><strong>Faster decision-making<\/strong><\/em>: through continuous analysis<\/li>\n<li><em><strong>Reduced workload for specialists<\/strong><\/em>: focus on value-adding activities<\/li>\n<li><em><strong>Scalability<\/strong><\/em>: parallel processing of multiple tasks<\/li>\n<li><em><strong>Improved data quality<\/strong><\/em>: through autonomous monitoring<\/li>\n<\/ul>\n<p>This enables companies not only to accelerate processes but also to improve the quality of their results in the long term.<\/p>\n<p><strong>Challenges and risks<\/strong><br \/>\nDespite its great potential, agentic AI also presents new challenges:<\/p>\n<ul>\n<li><strong><em>Control and transparency<\/em><\/strong><br \/>\nAutonomous decisions must remain traceable \u2013 particularly in regulated sectors.<\/li>\n<li><strong><em>System integration<\/em><\/strong><br \/>\nAgentic AI requires access to various systems, data sources and interfaces \u2013 a robust IT architecture is essential.<\/li>\n<li><strong><em>Governance and security<\/em><\/strong><br \/>\nThe more autonomously systems operate, the more important clear rules, access rights and <a href=\"https:\/\/artech-consulting.de\/aktuelles\/wussten-sie-schon-2\/cybersecurity-in-plm-ki-systemen\/\">control mechanisms<\/a> become.<\/li>\n<li><strong><em>Complexity<\/em><\/strong><br \/>\nMulti-agent systems are significantly more complex than traditional AI applications and require new skills within the organisation.<\/li>\n<\/ul>\n<p><strong>The Transformation of Engineering<\/strong><br \/>\nAgentic AI marks a paradigm shift \u2013 engineering processes are no longer merely supported by digital technology, but are increasingly controlled and optimised autonomously. Agentic AI does not replace humans, but transforms their role \u2013 from executors to controllers and decision-makers. Engineers are increasingly becoming orchestrators of systems, deploying and monitoring AI in a targeted manner.<\/p>\n<p><strong>Conclusion<br \/>\n<\/strong>The hype surrounding <a href=\"https:\/\/artech-consulting.de\/aktuelles\/wussten-sie-schon-2\/generatives-design-wenn-algorithmen-mitdenken\/\">generative AI<\/a> is real, but the true revolution only begins with Agentic AI. Agentic AI represents the next stage in the evolution of artificial intelligence in engineering.<\/p>\n<p>Whilst traditional AI primarily provides support, Agentic AI goes one step further: it plans, acts and optimises independently. For businesses, this presents enormous opportunities \u2013 particularly in complex areas such as CAD, PLM and engineering processes.<\/p>\n<p>At the same time, the use of these technologies requires a rethink in terms of organisation, governance and skills. Agentic AI therefore not only leads to more efficient processes, but fundamentally changes how engineering will function in the future.<\/p>\n<\/div>\n\t\t<\/div><\/div><\/div><\/div>","protected":false},"excerpt":{"rendered":"<p>In many current discussions about AI in engineering, one term is cropping up more and more: agentic AI. Whilst previous AI applications have primarily served as supporting tools \u2013 for example, for analysis, optimisation or content generation \u2013 agentic AI <a href=\"https:\/\/artech-consulting.de\/en\/aktuelles\/wussten-sie-schon-2\/agentic-ai-im-engineering-vom-assistenzsystem-zum-autonomen-problemloeser\/\" class=\"read-more\">Read More<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":4507,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v23.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Agentic AI in Engineering: From Assistant System to Autonomous Problem Solver -<\/title>\n<meta name=\"description\" content=\"(Deutsch) Agentic AI ver\u00e4ndert das Engineering grundlegend: Wenn KI beginnt, selbstst\u00e4ndig zu planen, steuern und optimieren.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/artech-consulting.de\/aktuelles\/wussten-sie-schon-2\/agentic-ai-im-engineering-vom-assistenzsystem-zum-autonomen-problemloeser\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Agentic AI im Engineering: Wenn KI beginnt, eigenst\u00e4ndig zu handeln\" \/>\n<meta property=\"og:description\" content=\"Agentic AI ist mehr als nur der n\u00e4chste KI-Trend \u2013 sie markiert den \u00dcbergang von unterst\u00fctzender zu autonom handelnder k\u00fcnstlicher Intelligenz.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/artech-consulting.de\/aktuelles\/wussten-sie-schon-2\/agentic-ai-im-engineering-vom-assistenzsystem-zum-autonomen-problemloeser\/\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/ARTECH-Consulting-GmbH-367676580239744\/\" \/>\n<meta property=\"article:modified_time\" content=\"2026-05-26T09:06:18+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/artech-consulting.de\/wp-content\/uploads\/2026\/05\/avnsuresh-ai-generated-8988761_1280.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1280\" \/>\n\t<meta property=\"og:image:height\" content=\"712\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"8 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/artech-consulting.de\/aktuelles\/wussten-sie-schon-2\/agentic-ai-im-engineering-vom-assistenzsystem-zum-autonomen-problemloeser\/\",\"url\":\"https:\/\/artech-consulting.de\/aktuelles\/wussten-sie-schon-2\/agentic-ai-im-engineering-vom-assistenzsystem-zum-autonomen-problemloeser\/\",\"name\":\"Agentic AI in Engineering: From Assistant System to Autonomous Problem Solver -\",\"isPartOf\":{\"@id\":\"https:\/\/artech-consulting.de\/#website\"},\"datePublished\":\"2026-05-26T09:04:16+00:00\",\"dateModified\":\"2026-05-26T09:06:18+00:00\",\"description\":\"{:de}Agentic AI ver\u00e4ndert das Engineering grundlegend: Wenn KI beginnt, selbstst\u00e4ndig zu planen, steuern und optimieren.{:}\",\"breadcrumb\":{\"@id\":\"https:\/\/artech-consulting.de\/aktuelles\/wussten-sie-schon-2\/agentic-ai-im-engineering-vom-assistenzsystem-zum-autonomen-problemloeser\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/artech-consulting.de\/aktuelles\/wussten-sie-schon-2\/agentic-ai-im-engineering-vom-assistenzsystem-zum-autonomen-problemloeser\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/artech-consulting.de\/aktuelles\/wussten-sie-schon-2\/agentic-ai-im-engineering-vom-assistenzsystem-zum-autonomen-problemloeser\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/artech-consulting.de\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Aktuelles\",\"item\":\"https:\/\/artech-consulting.de\/aktuelles\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"Wissen &#038; 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