{"id":3673,"date":"2025-10-01T13:33:06","date_gmt":"2025-10-01T12:33:06","guid":{"rendered":"https:\/\/hainzelman.com\/?p=3673"},"modified":"2025-10-15T09:18:40","modified_gmt":"2025-10-15T08:18:40","slug":"blogpost-example-1","status":"publish","type":"post","link":"https:\/\/hainzelman.com\/en\/blogpost-example-1\/","title":{"rendered":"Crossing the GenAI Divide: From Hype to Real Value"},"content":{"rendered":"<h2 class=\"wp-block-heading\">Why Pilots Stall<\/h2>\n\n\n\n<p>Executives in the report were clear:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Generic tools like ChatGPT are great for brainstorming, but they don\u2019t integrate into mission-critical processes.<\/li>\n\n\n\n<li>Enterprise pilots often stall because AI systems <strong>don\u2019t learn from feedback, don\u2019t fit existing workflows, and don\u2019t scale<\/strong>.<\/li>\n\n\n\n<li>The real barrier isn\u2019t regulation or model quality\u2014it\u2019s the <strong>learning gap<\/strong>: AI that forgets, instead of improving.<\/li>\n<\/ul>\n\n\n\n<p>That\u2019s why so many initiatives deliver demos but not impact.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">What the Leaders Do Differently<\/h2>\n\n\n\n<p>The organizations on the right side of the divide share common traits:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Integration over isolation<\/strong> \u2013 They embed AI in daily workflows, not in labs.<\/li>\n\n\n\n<li><strong>Learning over static tools<\/strong> \u2013 They demand systems that adapt over time.<\/li>\n\n\n\n<li><strong>Practical wins first<\/strong> \u2013 They focus on measurable ROI in back-office and compliance-heavy functions, not just shiny marketing demos.<\/li>\n\n\n\n<li><strong>Partnership over DIY<\/strong> \u2013 They work with trusted vendors instead of reinventing the wheel internally.<\/li>\n<\/ul>\n\n\n\n<p>These choices explain why a handful of companies are achieving multi-million-dollar gains while the majority are still stuck in pilot mode.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Lessons for Every Company<\/h2>\n\n\n\n<p>The message for business leaders is clear: <strong>AI success isn\u2019t about experimenting with the latest tool, but about making AI part of your organizational DNA.<\/strong> <\/p>\n\n\n\n<p>That means starting small\u2014with use cases that deliver value today\u2014while keeping the flexibility to scale tomorrow. It means respecting data sovereignty and compliance, especially in industries like maritime, finance, or healthcare. And it means ensuring that AI doesn\u2019t just automate tasks, but also preserves and grows the critical knowledge inside your organization.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Our Perspective at Hainzelman<\/h2>\n\n\n\n<p>At Hainzelman, we see these challenges every day in our work with mid-sized and regulated businesses. The report\u2019s findings resonate strongly with what our clients tell us: <em>they don\u2019t need more AI experiments\u2014they need AI that works in practice<\/em>.<\/p>\n\n\n\n<p>That\u2019s why we focus on helping organizations <strong>cross the GenAI Divide<\/strong>:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>By making expert knowledge usable and shareable.<\/li>\n\n\n\n<li>By embedding AI into existing processes instead of disrupting them.<\/li>\n\n\n\n<li>By ensuring data stays under your control\u2014whether in EU clouds or on-premise.<\/li>\n<\/ul>\n\n\n\n<p>In short: <em>We make AI work for you.<\/em><\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"600\" height=\"400\" src=\"https:\/\/hainzelman.com\/wp-content\/uploads\/2025\/06\/iStock-1382275360.jpg\" alt=\"\" class=\"wp-image-2797\" title=\"\" srcset=\"https:\/\/hainzelman.com\/wp-content\/uploads\/2025\/06\/iStock-1382275360.jpg 600w, https:\/\/hainzelman.com\/wp-content\/uploads\/2025\/06\/iStock-1382275360-300x200.jpg 300w\" sizes=\"(max-width: 600px) 100vw, 600px\" \/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Closing the Gap<\/h2>\n\n\n\n<p>The GenAI Divide is real\u2014but it\u2019s not permanent. With the right approach, companies can move from stalled pilots to real transformation. The winners will be those who demand AI that <strong>learns, integrates, and adapts<\/strong>\u2014and who act now, before vendor and technology choices lock in for the long term.<\/p>\n\n\n\n<p>The future of AI in business isn\u2019t about hype. It\u2019s about building systems that deliver value, day after day.<\/p>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\"><\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\"><\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>Why Pilots Stall Executives in the report were clear: That\u2019s why so many initiatives deliver demos but not impact. What the Leaders Do Differently The organizations on the right side of the divide share common traits: These choices explain why a handful of companies are achieving multi-million-dollar gains while the majority are still stuck in [&hellip;]<\/p>","protected":false},"author":7,"featured_media":3985,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[1],"tags":[],"post_folder":[],"class_list":["post-3673","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-nicht-kategorisiert"],"acpt":{"meta":[{"meta_box":"artikelinfos","meta_fields":[{"name":"introtext","type":"Editor","options":[],"value":"<p>The latest <em>State of AI in Business 2025<\/em> report from MIT\u2019s Project NANDA revealed a sobering truth: despite billions invested, <strong>95% of companies are still seeing no measurable business return from generative AI<\/strong>.<\/p>\r\n<p>This \u201cGenAI Divide\u201d separates those who experiment with flashy pilots from the few who achieve lasting transformation. And the difference isn\u2019t about having the biggest budget or the smartest models\u2014it\u2019s about how organizations <strong>learn, adapt, and integrate AI into their core workflows<\/strong>.<\/p>","default":"","required":false,"showInAdmin":false,"advancedOptions":{"1":{"id":"635da7e3-16c5-4c45-9396-8f8cc5022c22","boxId":"4c3b8b56-bc00-4175-866b-0e2bc637cc85","fieldId":"b38c687f-a615-4a96-9ddd-a6334f7464c1","key":"headline","value":"top"},"2":{"id":"7061f47e-635e-4947-81c0-32a05dd8f7e4","boxId":"4c3b8b56-bc00-4175-866b-0e2bc637cc85","fieldId":"b38c687f-a615-4a96-9ddd-a6334f7464c1","key":"width","value":""},"6":{"id":"7ab3846c-83c9-4fe9-9eca-717847d065e9","boxId":"4c3b8b56-bc00-4175-866b-0e2bc637cc85","fieldId":"b38c687f-a615-4a96-9ddd-a6334f7464c1","key":"before","value":""},"7":{"id":"eeec215d-3a80-4129-a362-1a3ed0ee9d01","boxId":"4c3b8b56-bc00-4175-866b-0e2bc637cc85","fieldId":"b38c687f-a615-4a96-9ddd-a6334f7464c1","key":"after","value":""},"8":{"id":"00e6dd1a-b549-434a-a28f-161a822f4883","boxId":"4c3b8b56-bc00-4175-866b-0e2bc637cc85","fieldId":"b38c687f-a615-4a96-9ddd-a6334f7464c1","key":"min","value":""},"9":{"id":"a8e88967-aaa6-4508-95a2-13b801c6e648","boxId":"4c3b8b56-bc00-4175-866b-0e2bc637cc85","fieldId":"b38c687f-a615-4a96-9ddd-a6334f7464c1","key":"max","value":""},"18":{"id":"c0defcc3-1764-4e62-9d9f-b1473eecc596","boxId":"4c3b8b56-bc00-4175-866b-0e2bc637cc85","fieldId":"b38c687f-a615-4a96-9ddd-a6334f7464c1","key":"css","value":""},"25":{"id":"f7e0a6fa-b0a8-4480-8ca7-d3f78d1c0508","boxId":"4c3b8b56-bc00-4175-866b-0e2bc637cc85","fieldId":"b38c687f-a615-4a96-9ddd-a6334f7464c1","key":"cols","value":""},"26":{"id":"5da06f9c-573e-4be7-8adc-d3c4b8b7def1","boxId":"4c3b8b56-bc00-4175-866b-0e2bc637cc85","fieldId":"b38c687f-a615-4a96-9ddd-a6334f7464c1","key":"rows","value":""},"29":{"id":"0b081d29-62bf-487f-ab36-e2a8d669b8e4","boxId":"4c3b8b56-bc00-4175-866b-0e2bc637cc85","fieldId":"b38c687f-a615-4a96-9ddd-a6334f7464c1","key":"vertical_alignment","value":"center"},"38":{"id":"5ce1708d-aa0f-4d69-a723-6a645d0c64e2","boxId":"4c3b8b56-bc00-4175-866b-0e2bc637cc85","fieldId":"b38c687f-a615-4a96-9ddd-a6334f7464c1","key":"allow_html","value":"1"}}},{"name":"key-takeaways-2","type":"Repeater","options":[],"value":{"list-icon":[{"original_name":"list-icon","type":"HTML","value":"<img src=\"https:\/\/hainzelman.com\/wp-content\/uploads\/2025\/05\/check-circle.svg\" \/>"},{"original_name":"list-icon","type":"HTML","value":"<img src=\"https:\/\/hainzelman.com\/wp-content\/uploads\/2025\/05\/check-circle.svg\" \/>"},{"original_name":"list-icon","type":"HTML","value":"<img src=\"https:\/\/hainzelman.com\/wp-content\/uploads\/2025\/05\/check-circle.svg\" \/>"}],"summary-item-text":[{"original_name":"summary-item-text","type":"Editor","value":"<p data-start=\"76\" data-end=\"262\"><strong data-start=\"76\" data-end=\"104\">The GenAI Divide is real<\/strong> \u2013 While 95% of companies stall in pilots, a small minority achieve measurable ROI by embedding AI into core workflows.<\/p>"},{"original_name":"summary-item-text","type":"Editor","value":"<p><strong data-start=\"267\" data-end=\"319\">Learning and integration matter more than models<\/strong> \u2013 Success comes from AI that adapts, remembers, and fits into existing processes, not from flashy demos or generic tools.<\/p>"},{"original_name":"summary-item-text","type":"Editor","value":"<p><strong data-start=\"448\" data-end=\"495\">Practical wins build lasting transformation<\/strong> \u2013 Organizations that focus on secure, workflow-ready solutions and knowledge preservation see faster ROI and sustainable business impact.<\/p>"}]},"default":"","required":false,"showInAdmin":false,"advancedOptions":[]}]}]},"acf":[],"_links":{"self":[{"href":"https:\/\/hainzelman.com\/en\/wp-json\/wp\/v2\/posts\/3673","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/hainzelman.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/hainzelman.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/hainzelman.com\/en\/wp-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/hainzelman.com\/en\/wp-json\/wp\/v2\/comments?post=3673"}],"version-history":[{"count":9,"href":"https:\/\/hainzelman.com\/en\/wp-json\/wp\/v2\/posts\/3673\/revisions"}],"predecessor-version":[{"id":3995,"href":"https:\/\/hainzelman.com\/en\/wp-json\/wp\/v2\/posts\/3673\/revisions\/3995"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/hainzelman.com\/en\/wp-json\/wp\/v2\/media\/3985"}],"wp:attachment":[{"href":"https:\/\/hainzelman.com\/en\/wp-json\/wp\/v2\/media?parent=3673"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hainzelman.com\/en\/wp-json\/wp\/v2\/categories?post=3673"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hainzelman.com\/en\/wp-json\/wp\/v2\/tags?post=3673"},{"taxonomy":"post_folder","embeddable":true,"href":"https:\/\/hainzelman.com\/en\/wp-json\/wp\/v2\/post_folder?post=3673"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}