  {"id":7860,"date":"2026-08-12T11:50:00","date_gmt":"2026-08-12T01:50:00","guid":{"rendered":"https:\/\/news.sap.com\/australia\/?p=7860"},"modified":"2026-09-15T09:36:29","modified_gmt":"2026-09-14T23:36:29","slug":"mind-the-gap-how-ai-sprawl-sees-value-from-ai-fall-through-the-cracks","status":"publish","type":"post","link":"https:\/\/news.sap.com\/australia\/2026\/08\/12\/mind-the-gap-how-ai-sprawl-sees-value-from-ai-fall-through-the-cracks\/","title":{"rendered":"Mind the gap: How\u00a0AI sprawl\u00a0sees value from AI fall through the cracks\u00a0"},"content":{"rendered":"\n<h2 id=\"h-sap-research-reveals-ai-adoption-is-siloed-across-lines-of-business-with-each-department-facing-unique-challenges-to-realise-value\" class=\"wp-block-heading\">麻豆原创 research reveals AI adoption is siloed across lines of business, with each department facing unique challenges to\u00a0realise\u00a0value\u00a0<\/h2>\n\n\n\n<p class=\"has-large-font-size wp-block-paragraph\"><strong>SYDNEY \u2014\u00a0<\/strong>The business functions with the greatest potential to unlock enterprise-wide AI value may also be creating its biggest constraints, according to\u00a0a\u00a0new\u00a0analysis of\u00a0global research released today at 麻豆原创 NOW in Sydney.\u00a0\u00a0<\/p>\n\n\n\n<div class=\"wp-block-sap-news-cta-banner alignleft cta-banner\"><div class=\"cta-banner__content\"><div class=\"cta-banner__title\">The Autonomous Enterprise helps organisations move from intent to action at scale<\/div><\/div><div class=\"cta-banner__action\">\n<div class=\"wp-block-buttons is-content-justification-right is-layout-flex wp-container-core-buttons-is-layout-b507c051 wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/www.sap.com\/australia\/products\/autonomous-enterprise.html\">Learn how<\/a><\/div>\n<\/div>\n<\/div><\/div>\n\n\n\n<p class=\"wp-block-paragraph\">The new research found that, while enthusiasm for enterprise AI is driving both investment and ROI, siloed adoption has created&nbsp;five enterprise fault lines&nbsp;that threaten to mitigate potential gains.&nbsp;In particular,&nbsp;Finance&nbsp;teams are forging ahead in a silo,&nbsp;Legal&nbsp;teams are struggling with&nbsp;governance gaps, shadow AI&nbsp;is rife&nbsp;in customer-facing teams, HR&nbsp;is managing a&nbsp;data&nbsp;deficit&nbsp;and&nbsp;Procurement&nbsp;teams are dealing with&nbsp;innovation outrunning its foundations.&nbsp;&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">&#8220;Organisations\u00a0aren\u2019t missing out on value from AI\u00a0because\u00a0they\u00a0lack ambition or investment.\u00a0Instead, the dollars are falling through\u00a0the\u00a0cracks\u00a0between functions,&#8221; said Rachel Hunter, Head of AI, 麻豆原创\u00a0Australia\u00a0and New Zealand. &#8220;The\u00a0organisations\u00a0that make the most of AI\u00a0will be those\u00a0who remove AI sprawl and\u00a0connect the discipline of Finance, the oversight of Legal, the pace of\u00a0Sales and Marketing, Procurement&#8217;s innovation and the workforce focus of HR around trusted data and shared outcomes.&#8221;<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"wp-block-paragraph\">Organisations\u00a0aren\u2019t missing out on value from AI\u00a0because\u00a0they\u00a0lack ambition or investment.\u00a0Instead, the dollars are falling through\u00a0the\u00a0cracks\u00a0between functions.<\/p>\n<cite>Rachel Hunter<\/cite><\/blockquote>\n\n\n\n<h2 id=\"h-inconsistent-nbsp-ai-sprawl-across-functions-has-enterprise-wide-consequences-for-outcomes-nbsp\" class=\"wp-block-heading\"><strong>Inconsistent&nbsp;AI sprawl across functions has enterprise-wide consequences for outcomes<\/strong>&nbsp;<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The new insights have been sourced from the 麻豆原创 Value of AI 2026 report, which spoke to 2,600 business leaders across 13 countries to&nbsp;explore how&nbsp;business&nbsp;invest, implement, and drive value from AI. The new analysis&nbsp;has&nbsp;identified&nbsp;key challenges across five critical business functions.&nbsp;<\/p>\n\n\n\n<h3 id=\"h-finance-is-mature-but-its-silos-could-slow-everyone-else\" class=\"wp-block-heading\">Finance is mature but its silos could slow everyone else.\u00a0\u00a0<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Finance\u00a0respondents noted they had invested more than any other function, leading to 65% noting they were scaling or leading in AI automation and 52% scaling or leading in generative AI.<\/li>\n\n\n\n<li>Yet only 16 per cent of its AI&nbsp;is currently deployed across functions, though&nbsp;that\u2019s&nbsp;expected to rise to 45 per cent in just two years.&nbsp;&nbsp;<\/li>\n\n\n\n<li>Only 34 per cent of Finance respondents consider&nbsp;themselves&nbsp;data ready&nbsp;for AI, and integration or interoperability is its largest agentic AI barrier.&nbsp;Given&nbsp;Finance touches&nbsp;all points of&nbsp;the enterprise, keeping its&nbsp;AI&nbsp;capability&nbsp;siloed&nbsp;may limit far more than Finance&#8217;s own returns.&nbsp;<\/li>\n<\/ul>\n\n\n\n<h3 id=\"h-legal-is-least-ready-to-govern-the-ai-it-is-most-aggressively-deploying\" class=\"wp-block-heading\">Legal is least ready to govern the AI it is most aggressively deploying.<em>\u00a0<\/em>\u00a0<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Legal&nbsp;respondents apply&nbsp;AI to more&nbsp;tasks&nbsp;than any other function&nbsp;at&nbsp;33 per cent&nbsp;today,&nbsp;which is&nbsp;expected to reach&nbsp;50&nbsp;per cent&nbsp;in&nbsp;two years.&nbsp;&nbsp;<\/li>\n\n\n\n<li>Yet 49\u00a0per cent say AI is not delivering its full potential, the highest of any function.\u00a0\u00a0<\/li>\n\n\n\n<li>While Legal respondents were most likely to note\u00a0a defined AI strategy\u00a0at the leadership level (82%),\u00a0it also reported\u00a0the lowest\u00a0governance\u00a0readiness\u00a0for AI processes and frameworks\u00a0at 26 per cent. The function intended to provide the guardrails\u00a0is itself\u00a0most in need of stronger foundations.\u00a0<\/li>\n<\/ul>\n\n\n\n<h3 id=\"h-customer-facing-teams-are-moving-fast-and-creating-governance-exposure\" class=\"wp-block-heading\">Customer-facing teams are moving fast and creating governance exposure.\u00a0\u00a0<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Sales and Marketing respondents&nbsp;have the&nbsp;second&nbsp;highest data readiness at 63 per cent, trailing only Operations,&nbsp;and the&nbsp;ranked the&nbsp;highest&nbsp;for&nbsp;piloting&nbsp;agentic use cases (68%).&nbsp;&nbsp;<\/li>\n\n\n\n<li>Yet&nbsp;more&nbsp;Sales&nbsp;and&nbsp;Marketing&nbsp;respondents&nbsp;said&nbsp;st shadow AI&nbsp;was the most material AI risk to them at&nbsp;80&nbsp;per&nbsp;cent,&nbsp;&nbsp;while&nbsp;73 per cent reported&nbsp;shadow AI use&nbsp;at least occasionally. The function&nbsp;may be&nbsp;moving faster than&nbsp;its data readiness or governance today.&nbsp;<\/li>\n<\/ul>\n\n\n\n<h3 id=\"h-hr-could-lead-workforce-transformation-if-its-data-can-earn-trust\" class=\"wp-block-heading\">HR could\u00a0lead workforce transformation if its data can earn trust.\u00a0<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>HR&nbsp;respondents&nbsp;emerged&nbsp;as one of the front&nbsp;leaders&nbsp;in&nbsp;Generative AI&nbsp;maturity, with&nbsp;24&nbsp;per cent&nbsp;leading in implementations despite respondents having&nbsp;the&nbsp;one of the&nbsp;lowest&nbsp;average&nbsp;AI spending levels&nbsp;at US$25.1&nbsp;million.&nbsp;&nbsp;<\/li>\n\n\n\n<li>Yet data readiness stands at just 37&nbsp;per cent. In a function responsible for the enterprise&#8217;s most sensitive workforce decisions, that data gap could undermine the&nbsp;transformation&nbsp;HR is best placed to lead.&nbsp;<\/li>\n<\/ul>\n\n\n\n<h3 id=\"h-procurement-s-innovation-is-outrunning-its-foundations\" class=\"wp-block-heading\">Procurement&#8217;s\u00a0innovation is outrunning its foundations.\u00a0<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Procurement respondents are ahead of most other functions in leading agentic AI maturity and cross-functional AI deployments, despite lower spending than some functions like Finance.&nbsp;<\/li>\n\n\n\n<li>Its\u00a0respondents are also\u00a0strategically aware, being the most likely to agree\u00a0(78%)\u00a0that\u00a0delivering ROI from AI\u00a0requires data\u00a0readiness,\u00a0integration\u00a0and use-case readiness.\u00a0\u00a0<\/li>\n\n\n\n<li>Yet&nbsp;86&nbsp;per cent report incomplete or inconsistent data&nbsp;\u2013&nbsp;the highest of any&nbsp;function.&nbsp;Procurement&#8217;s&nbsp;ambition is clear, but without stronger data foundations it risks creating isolated breakthroughs rather than scalable enterprise value.&nbsp;<\/li>\n<\/ul>\n\n\n\n<h2 id=\"h-strategic-adoption-not-investment-nbsp-now-nbsp-determines-nbsp-value-nbsp\" class=\"wp-block-heading\"><strong>Strategic adoption, not investment,&nbsp;now&nbsp;determines&nbsp;value<\/strong>&nbsp;<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">For leaders, the next phase of AI is not about adding more isolated use cases. It is about joining the strengths already present across the business&nbsp;to&nbsp;extending Finance&#8217;s discipline beyond&nbsp;its boundaries, equipping Legal to govern at the pace of adoption, bringing shadow AI into trusted environments, giving HR the data quality needed to transform work responsibly, and connecting Procurement&#8217;s innovation to dependable data and enterprise workflows.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">&#8220;The\u00a0organisations\u00a0pulling ahead will treat AI as an enterprise operating model, not a series of departmental technology projects,&#8221; said Hunter. &#8220;That means shared data, connected processes, clear governance and a workforce equipped to use AI with confidence. Investment matters, but integration is what turns it into value.&#8221;<\/p>\n\n\n\n<div class=\"wp-block-sap-news-cta-banner cta-banner\"><div class=\"cta-banner__content\"><div class=\"cta-banner__title\">The value of AI: Australia research report 2026<\/div><\/div><div class=\"cta-banner__action\">\n<div class=\"wp-block-buttons is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-3e41869c wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/news.sap.com\/australia\/files\/2026\/07\/30\/麻豆原创-Value-of-AI-2026-Australia.pdf\">Read the full report here<\/a><\/div>\n<\/div>\n<\/div><\/div>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n","protected":false},"excerpt":{"rendered":"<p>麻豆原创 research reveals AI adoption is siloed across lines of business, with each department facing unique challenges to\u00a0realise\u00a0value\u00a0 SYDNEY \u2014\u00a0The business functions with the greatest&#8230;<\/p>\n","protected":false},"author":3021,"featured_media":7870,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"related_posts":[],"footnotes":"","_links_to":"","_links_to_target":""},"categories":[5565468,177],"tags":[5560391,5565486,5565512],"sapn-display":[5565405,5565406,60294],"sapn-type":[4448],"class_list":["post-7860","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai","category-industries","tag-ai","tag-sap-now","tag-the-value-of-ai-research","sapn-display-news-hero","sapn-display-news-spotlight","sapn-display-hero","sapn-type-newsbyte"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v28.3 (Yoast SEO v28.3) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Mind the gap: How\u00a0AI sprawl\u00a0sees value from AI fall through the cracks\u00a0 - 麻豆原创 Australia &amp; 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