{"id":164571,"date":"2026-06-24T10:00:00","date_gmt":"2026-06-24T08:00:00","guid":{"rendered":"https:\/\/e3mag.com\/?p=164571"},"modified":"2026-06-23T10:03:10","modified_gmt":"2026-06-23T08:03:10","slug":"agentic-ai-readiness-index-2026-the-gap-between-investment-and-data-maturity","status":"publish","type":"post","link":"https:\/\/e3mag.com\/en\/agentic-ai-readiness-index-2026-luecke-zwischen-investitionen-und-datenreife\/","title":{"rendered":"Agentic AI Readiness Index 2026: The Gap Between Investment and Data Maturity"},"content":{"rendered":"<p>The 2026 Agentic AI Readiness Index measures the extent to which corporate data environments are prepared to support agent-based AI workloads and initiatives in a production environment. The results show that only 15 percent of companies are fully prepared to deploy agent-based AI (Agentic AI) in production, even though nearly 60 percent report investing tens or hundreds of millions in this area. The index is based on a survey of 400 data experts in the United States, the United Kingdom, the EMEA region, and the Asia-Pacific region.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><br>Data Requirements for Agentic AI<\/h2>\n\n\n\n<p>Companies are evaluated based on the key data requirements that Agentic AI needs for reliable operation. Among the most important are data timeliness, data provenance, governance, and interoperability. Agent-based AI systems are designed to plan, execute, and implement business processes autonomously. This increases both the benefits and the risks for companies.<\/p><div id=\"great-2450846101\" class=\"great-fullsize-content-en great-entity-placement\" style=\"margin-bottom: 20px;\"><a data-no-instant=\"1\" href=\"https:\/\/www.youtube.com\/watch?v=3sfeY6CxpaQ\" rel=\"noopener\" class=\"a2t-link\" target=\"_blank\" aria-label=\"banner_26_06_24_1200x150\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/e3mag.com\/wp-content\/uploads\/2026\/03\/banner_26_06_24_1200x150.jpg\" alt=\"\"  srcset=\"https:\/\/e3mag.com\/wp-content\/uploads\/2026\/03\/banner_26_06_24_1200x150.jpg 1200w, https:\/\/e3mag.com\/wp-content\/uploads\/2026\/03\/banner_26_06_24_1200x150-400x50.jpg 400w, https:\/\/e3mag.com\/wp-content\/uploads\/2026\/03\/banner_26_06_24_1200x150-768x96.jpg 768w, https:\/\/e3mag.com\/wp-content\/uploads\/2026\/03\/banner_26_06_24_1200x150-100x13.jpg 100w, https:\/\/e3mag.com\/wp-content\/uploads\/2026\/03\/banner_26_06_24_1200x150-480x60.jpg 480w, https:\/\/e3mag.com\/wp-content\/uploads\/2026\/03\/banner_26_06_24_1200x150-640x80.jpg 640w, https:\/\/e3mag.com\/wp-content\/uploads\/2026\/03\/banner_26_06_24_1200x150-720x90.jpg 720w, https:\/\/e3mag.com\/wp-content\/uploads\/2026\/03\/banner_26_06_24_1200x150-960x120.jpg 960w, https:\/\/e3mag.com\/wp-content\/uploads\/2026\/03\/banner_26_06_24_1200x150-1168x146.jpg 1168w, https:\/\/e3mag.com\/wp-content\/uploads\/2026\/03\/banner_26_06_24_1200x150-18x2.jpg 18w, https:\/\/e3mag.com\/wp-content\/uploads\/2026\/03\/banner_26_06_24_1200x150-600x75.jpg 600w\" sizes=\"(max-width: 1200px) 100vw, 1200px\" width=\"1200\" height=\"150\"  style=\" max-width: 100%; height: auto;\" \/><\/a><\/div>\n\n\n\n<h2 class=\"wp-block-heading\"><br>Deficits Turn into Failures<\/h2>\n\n\n\n<p>When AI systems are put to productive use, shortcomings in data quality, governance, and interoperability can lead to operational failures. This significantly limits the potential for secure, large-scale automation using AI. \u201eMost companies fail with AI not because of the models, but because their data isn\u2019t ready,\u201c says George Fraser, CEO of Fivetran. \u201eCompanies are deploying agent-based AI on top of fragile pipelines, a lack of traceability, and systems that were never designed for autonomy. This doesn\u2019t lead to better results\u2014it leads to faster failures.\u201c<br><\/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\" style=\"flex-basis:33.33%\">\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"816\" height=\"1080\" src=\"https:\/\/e3mag.com\/wp-content\/uploads\/2026\/06\/George-Fraser-Fivetran-CEO-1_cmyk.jpg\" alt=\"\" class=\"wp-image-164576\" srcset=\"https:\/\/e3mag.com\/wp-content\/uploads\/2026\/06\/George-Fraser-Fivetran-CEO-1_cmyk.jpg 816w, https:\/\/e3mag.com\/wp-content\/uploads\/2026\/06\/George-Fraser-Fivetran-CEO-1_cmyk-302x400.jpg 302w, https:\/\/e3mag.com\/wp-content\/uploads\/2026\/06\/George-Fraser-Fivetran-CEO-1_cmyk-1200x1587.jpg 817w, https:\/\/e3mag.com\/wp-content\/uploads\/2026\/06\/George-Fraser-Fivetran-CEO-1_cmyk-768x1016.jpg 768w, https:\/\/e3mag.com\/wp-content\/uploads\/2026\/06\/George-Fraser-Fivetran-CEO-1_cmyk-100x132.jpg 100w, https:\/\/e3mag.com\/wp-content\/uploads\/2026\/06\/George-Fraser-Fivetran-CEO-1_cmyk-480x635.jpg 480w, https:\/\/e3mag.com\/wp-content\/uploads\/2026\/06\/George-Fraser-Fivetran-CEO-1_cmyk-640x847.jpg 640w, https:\/\/e3mag.com\/wp-content\/uploads\/2026\/06\/George-Fraser-Fivetran-CEO-1_cmyk-720x952.jpg 720w, https:\/\/e3mag.com\/wp-content\/uploads\/2026\/06\/George-Fraser-Fivetran-CEO-1_cmyk-9x12.jpg 9w, https:\/\/e3mag.com\/wp-content\/uploads\/2026\/06\/George-Fraser-Fivetran-CEO-1_cmyk-600x794.jpg 600w\" sizes=\"auto, (max-width: 816px) 100vw, 816px\" \/><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-vertically-aligned-center is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:66.66%\">\n<p><em>\"<\/em>Most companies don't fail at AI because of the<br>It's not about the models, but rather that their data isn't ready.<em>\u201c<\/em><\/p>\n\n\n\n<p><strong>George Fraser,<\/strong><br>CEO,<br>Fivetran<\/p>\n<\/div>\n<\/div>\n\n\n\n<p>Actual adoption is outpacing readiness: 41 percent of companies are already using agentic AI in production\u2014despite significant gaps in data reliability, governance, and interoperability. Data issues are the biggest obstacle: The most frequently cited hurdles to achieving Agentic AI goals are data quality and provenance (42 percent), regulatory requirements and data sovereignty (39 percent), and security and privacy risks (39 percent). Interoperability is crucial to success: 86 percent of data leaders state that platform extensibility and interoperability are important or critical. Among them, 17 percent believe these are essential for AI and data decisions. Nevertheless, many companies feel constrained by fragmented system landscapes and vendor lock-in. Data integration platforms are cited as the greatest source of lock-in risks.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><br>Data Infrastructure as a Limiting Factor<\/h2>\n\n\n\n<p>The results highlight a broad industry trend: The more autonomous artificial intelligence systems become, the more data infrastructure becomes a limiting factor. According to Gartner, up to 60 percent of all AI projects could be abandoned due to a lack of AI-ready data.<\/p>\n\n\n\n<p>The report measures readiness using the Agentic AI Readiness Index: These are composite scores that evaluate a company\u2019s data foundation in key areas such as data timeliness, data provenance, governance, and interoperability. The average maturity level among respondents is approximately 61 to 62 percent. This shows that most companies still need to close critical gaps in order to achieve a return on investment from their AI investments. Companies that consider themselves fully prepared not only have a significantly greater sense of security but also demonstrate clear advantages in their operations. (Source: Fivetran)<\/p>","protected":false},"excerpt":{"rendered":"<p>According to a recent study by Fivetran, only 15 percent of companies<br \/>\nfully prepared for the productive use of agent-based AI \u2013<br \/>\neven though nearly 60 percent of companies are already investing millions.<\/p>","protected":false},"author":2368,"featured_media":164572,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"pmpro_default_level":"","footnotes":""},"categories":[6,44463],"tags":[44122,44395,39,44489,20346,73,44491,8689,369,624,236],"coauthors":[39720],"class_list":["post-164571","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-wirtschaft","category-mag-26-06","tag-agentic-ai","tag-btp","tag-cloud","tag-conpliance","tag-cybersecurity","tag-erp","tag-fivetran","tag-governance","tag-it","tag-ki-joule","tag-sap","pmpro-has-access"],"acf":[],"featured_image_urls_v2":{"full":["https:\/\/e3mag.com\/wp-content\/uploads\/2026\/06\/2606_wi_fivetran.jpg",1000,450,false],"thumbnail":["https:\/\/e3mag.com\/wp-content\/uploads\/2026\/06\/2606_wi_fivetran-150x150.jpg",150,150,true],"medium":["https:\/\/e3mag.com\/wp-content\/uploads\/2026\/06\/2606_wi_fivetran-400x180.jpg",400,180,true],"medium_large":["https:\/\/e3mag.com\/wp-content\/uploads\/2026\/06\/2606_wi_fivetran-768x346.jpg",768,346,true],"large":["https:\/\/e3mag.com\/wp-content\/uploads\/2026\/06\/2606_wi_fivetran.jpg",1000,450,false],"image-100":["https:\/\/e3mag.com\/wp-content\/uploads\/2026\/06\/2606_wi_fivetran-100x45.jpg",100,45,true],"image-480":["https:\/\/e3mag.com\/wp-content\/uploads\/2026\/06\/2606_wi_fivetran-480x216.jpg",480,216,true],"image-640":["https:\/\/e3mag.com\/wp-content\/uploads\/2026\/06\/2606_wi_fivetran-640x288.jpg",640,288,true],"image-720":["https:\/\/e3mag.com\/wp-content\/uploads\/2026\/06\/2606_wi_fivetran-720x324.jpg",720,324,true],"image-960":["https:\/\/e3mag.com\/wp-content\/uploads\/2026\/06\/2606_wi_fivetran-960x432.jpg",960,432,true],"image-1168":["https:\/\/e3mag.com\/wp-content\/uploads\/2026\/06\/2606_wi_fivetran.jpg",1000,450,false],"image-1440":["https:\/\/e3mag.com\/wp-content\/uploads\/2026\/06\/2606_wi_fivetran.jpg",1000,450,false],"image-1920":["https:\/\/e3mag.com\/wp-content\/uploads\/2026\/06\/2606_wi_fivetran.jpg",1000,450,false],"1536x1536":["https:\/\/e3mag.com\/wp-content\/uploads\/2026\/06\/2606_wi_fivetran.jpg",1000,450,false],"2048x2048":["https:\/\/e3mag.com\/wp-content\/uploads\/2026\/06\/2606_wi_fivetran.jpg",1000,450,false],"trp-custom-language-flag":["https:\/\/e3mag.com\/wp-content\/uploads\/2026\/06\/2606_wi_fivetran-18x8.jpg",18,8,true],"bricks_large_16x9":["https:\/\/e3mag.com\/wp-content\/uploads\/2026\/06\/2606_wi_fivetran.jpg",1000,450,false],"bricks_large":["https:\/\/e3mag.com\/wp-content\/uploads\/2026\/06\/2606_wi_fivetran.jpg",1000,450,false],"bricks_large_square":["https:\/\/e3mag.com\/wp-content\/uploads\/2026\/06\/2606_wi_fivetran.jpg",1000,450,false],"bricks_medium":["https:\/\/e3mag.com\/wp-content\/uploads\/2026\/06\/2606_wi_fivetran-600x270.jpg",600,270,true],"bricks_medium_square":["https:\/\/e3mag.com\/wp-content\/uploads\/2026\/06\/2606_wi_fivetran-600x450.jpg",600,450,true],"profile_24":["https:\/\/e3mag.com\/wp-content\/uploads\/2026\/06\/2606_wi_fivetran-24x24.jpg",24,24,true],"profile_48":["https:\/\/e3mag.com\/wp-content\/uploads\/2026\/06\/2606_wi_fivetran-48x48.jpg",48,48,true],"profile_96":["https:\/\/e3mag.com\/wp-content\/uploads\/2026\/06\/2606_wi_fivetran-96x96.jpg",96,96,true],"profile_150":["https:\/\/e3mag.com\/wp-content\/uploads\/2026\/06\/2606_wi_fivetran-150x150.jpg",150,150,true],"profile_300":["https:\/\/e3mag.com\/wp-content\/uploads\/2026\/06\/2606_wi_fivetran-300x300.jpg",300,300,true]},"post_excerpt_stackable_v2":"<p>Nur 15 Prozent der Unternehmen sind laut einer aktuellen Studie von Fivetran<br \/>\nvollst\u00e4ndig auf den produktiven Einsatz agentenbasierter KI vorbereitet \u2013<br \/>\nobwohl fast 60 Prozent der Unternehmen bereits Millionen investieren.<\/p>\n","category_list_v2":"<a href=\"https:\/\/e3mag.com\/en\/category\/wirtschaft\/\" rel=\"category tag\">Wirtschaft<\/a>, <a href=\"https:\/\/e3mag.com\/en\/category\/mag-26-06\/\" rel=\"category tag\">MAG 26-06<\/a>","author_info_v2":{"name":"E3 Magazine","url":"https:\/\/e3mag.com\/en\/author\/e3_magazin\/"},"comments_num_v2":"0 comments","_links":{"self":[{"href":"https:\/\/e3mag.com\/en\/wp-json\/wp\/v2\/posts\/164571","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/e3mag.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/e3mag.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/e3mag.com\/en\/wp-json\/wp\/v2\/users\/2368"}],"replies":[{"embeddable":true,"href":"https:\/\/e3mag.com\/en\/wp-json\/wp\/v2\/comments?post=164571"}],"version-history":[{"count":2,"href":"https:\/\/e3mag.com\/en\/wp-json\/wp\/v2\/posts\/164571\/revisions"}],"predecessor-version":[{"id":164577,"href":"https:\/\/e3mag.com\/en\/wp-json\/wp\/v2\/posts\/164571\/revisions\/164577"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/e3mag.com\/en\/wp-json\/wp\/v2\/media\/164572"}],"wp:attachment":[{"href":"https:\/\/e3mag.com\/en\/wp-json\/wp\/v2\/media?parent=164571"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/e3mag.com\/en\/wp-json\/wp\/v2\/categories?post=164571"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/e3mag.com\/en\/wp-json\/wp\/v2\/tags?post=164571"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/e3mag.com\/en\/wp-json\/wp\/v2\/coauthors?post=164571"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}