{"id":7258,"date":"2026-02-02T09:47:12","date_gmt":"2026-02-02T08:47:12","guid":{"rendered":"https:\/\/nextra-consulting.com\/?p=7258"},"modified":"2026-05-18T11:45:03","modified_gmt":"2026-05-18T09:45:03","slug":"welche-voraussetzungen-bestehen-fuer-ki-einsatz-in-unternehmen","status":"publish","type":"post","link":"https:\/\/nextra-consulting.com\/en\/welche-voraussetzungen-bestehen-fuer-ki-einsatz-in-unternehmen\/","title":{"rendered":"What are the prerequisites for AI deployment in companies?"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"7258\" class=\"elementor elementor-7258 elementor-7253\" data-elementor-post-type=\"post\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1d03f56 e-flex e-con-boxed e-con e-parent\" data-id=\"1d03f56\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1e25542f absatz-titel elementor-widget elementor-widget-text-editor\" data-id=\"1e25542f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>There are no standard minimum prerequisites for AI deployment in companies \u2013 and that&#8217;s precisely the good news. Fundamentally, any company can start with AI, regardless of size, industry, or current level of digitalization. Neither a highly developed IT landscape nor deep AI expertise needs to be present from the outset. The crucial factor is choosing the right entry point.   <\/p><p>AI unfolds its added value when it aligns with a company&#8217;s existing processes, goals, and resources. Factors such as data availability, technological frameworks, organizational structures, employee competencies, and strategic objectives play a role \u2013 not as hurdles, but as a starting point. <\/p><p>Companies that successfully implement AI usually don&#8217;t start with complex solutions, but with clearly defined, realistic use cases. A structured assessment helps to realistically evaluate one&#8217;s own starting position, set priorities, and avoid typical false starts. Such an assessment \u2013 for example, as part of our <a href=\"https:\/\/nextra-consulting.com\/en\/ki-services\/ai-readiness-quick-check\/\" target=\"_blank\" rel=\"noopener\"><b>AI <\/b><b>Readiness<\/b><b> Quick Check <\/b><\/a>\u2013 creates transparency about the current maturity level and shows what the next sensible step is. This way, AI does not become an end in itself, but a feasible and sustainable development process that builds on existing resources and competencies.   <\/p><p>Ultimately, however, fundamental structures within the organization also determine the success of AI. These include available competencies, employee acceptance, clear decision-making processes, and a shared understanding of what AI should be used for \u2013 and what it should not. Without accompanying <a href=\"https:\/\/nextra-consulting.com\/en\/ai-services\/change-management\/\" target=\"_blank\" rel=\"noopener\"><b>change management<\/b><\/a> and structured <b><a href=\"https:\/\/nextra-consulting.com\/en\/ai-services\/implementation\/\" target=\"_blank\" rel=\"noopener\">project management<\/a> <\/b>, many AI initiatives remain ineffective.  <\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>There are no standard minimum prerequisites for AI deployment in companies \u2013 and that&#8217;s precisely the good news. Fundamentally, any company can start with AI, regardless of size, industry, or current level of digitalization. Neither a highly developed IT landscape nor deep AI expertise needs to be present from the outset. The crucial factor is [&hellip;]<\/p>\n","protected":false},"author":8,"featured_media":7735,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"content-type":"","footnotes":""},"categories":[66,68,67],"tags":[],"class_list":["post-7258","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai","category-ai-implementation","category-ai-readiness"],"_links":{"self":[{"href":"https:\/\/nextra-consulting.com\/en\/wp-json\/wp\/v2\/posts\/7258","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/nextra-consulting.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/nextra-consulting.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/nextra-consulting.com\/en\/wp-json\/wp\/v2\/users\/8"}],"replies":[{"embeddable":true,"href":"https:\/\/nextra-consulting.com\/en\/wp-json\/wp\/v2\/comments?post=7258"}],"version-history":[{"count":3,"href":"https:\/\/nextra-consulting.com\/en\/wp-json\/wp\/v2\/posts\/7258\/revisions"}],"predecessor-version":[{"id":8728,"href":"https:\/\/nextra-consulting.com\/en\/wp-json\/wp\/v2\/posts\/7258\/revisions\/8728"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/nextra-consulting.com\/en\/wp-json\/wp\/v2\/media\/7735"}],"wp:attachment":[{"href":"https:\/\/nextra-consulting.com\/en\/wp-json\/wp\/v2\/media?parent=7258"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/nextra-consulting.com\/en\/wp-json\/wp\/v2\/categories?post=7258"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/nextra-consulting.com\/en\/wp-json\/wp\/v2\/tags?post=7258"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}