{"id":12564,"date":"2026-05-09T07:00:43","date_gmt":"2026-05-09T06:00:43","guid":{"rendered":"https:\/\/sparkle.consulting\/challenges\/ai-ready-data-foundation\/"},"modified":"2026-07-23T21:33:27","modified_gmt":"2026-07-23T20:33:27","slug":"ai-ready-data-foundation","status":"publish","type":"page","link":"https:\/\/sparkle.consulting\/fr\/challenges\/ai-ready-data-foundation\/","title":{"rendered":"AI-Ready Data Foundation"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"12564\" class=\"elementor elementor-12564\" data-elementor-post-type=\"page\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-shelvlh elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"shelvlh\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column 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.site-main{padding:0!important;margin:0!important;max-width:100%!important}\nbody.elementor-page::before,body.home::before{content:'';position:fixed;top:0;left:0;right:0;height:3px;background:linear-gradient(90deg,#af6d00 0%,#f29100 50%,#af6d00 100%);z-index:99999;pointer-events:none}\nbody.ast-theme-transparent-header:not(.sparkle-scrolled) .main-header-bar,body.ast-theme-transparent-header:not(.sparkle-scrolled) .main-header-bar-wrap .main-header-menu,body.ast-theme-transparent-header:not(.sparkle-scrolled) .ast-above-header,body.ast-theme-transparent-header:not(.sparkle-scrolled) .ast-below-header,body.ast-theme-transparent-header:not(.sparkle-scrolled) .ast-mobile-header-wrap .main-header-bar,body.ast-theme-transparent-header:not(.sparkle-scrolled) .ast-main-header-wrap{background-color:transparent!important;background-image:none!important;box-shadow:none!important}\n.ast-hfb-header .site-header,#masthead{transition:background .3s ease,backdrop-filter .3s ease,box-shadow .3s 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.entry-content,\n.elementor-page .site-content {padding:0!important;margin:0!important;max-width:none!important}\n\n.csp-hero{background:#163e52;color:#fff;padding:104px 0 96px;position:relative;overflow:hidden;font-family:'Inter',-apple-system,system-ui,sans-serif}\n.csp-hero:before{content:'';position:absolute;inset:0;background:radial-gradient(circle at 18% 28%, rgba(242,145,0,.10) 0%, transparent 55%),radial-gradient(circle at 82% 72%, rgba(86,127,147,.22) 0%, transparent 50%);pointer-events:none}\n.csp-hero:after{content:'';position:absolute;right:-120px;top:-120px;width:520px;height:520px;border-radius:50%;background:radial-gradient(circle,rgba(242,145,0,.06) 0%,transparent 70%);pointer-events:none}\n.csp-hero .wrap{max-width:1180px;margin:0 auto;padding:0 32px;position:relative;z-index:1}\n.csp-hero .crumbs{font-size:13px;font-weight:500;color:#93aab7;margin-bottom:36px;letter-spacing:.02em}\n.csp-hero .crumbs a{color:#93aab7;text-decoration:none;transition:color .2s}\n.csp-hero .crumbs a:hover{color:#fff}\n.csp-hero .crumbs span{color:#fff;margin:0 10px;opacity:.45}\n.csp-hero .eyebrow{display:inline-flex;align-items:center;gap:12px;font-size:12px;font-weight:600;letter-spacing:.18em;text-transform:uppercase;color:#f29100;margin-bottom:28px}\n.csp-hero .eyebrow:before{content:'';width:36px;height:1px;background:#f29100}\n.csp-hero h1{color:#fff!important;font-size:clamp(40px,5.2vw,68px);line-height:1.04;font-weight:700;letter-spacing:-.022em;margin:0 0 32px;max-width:920px;font-family:'Inter',-apple-system,system-ui,sans-serif}\n.csp-hero h1 em{font-style:italic;color:#f29100;font-weight:600}\n.csp-hero .lede{font-size:21px;line-height:1.55;color:#cdd9df;max-width:740px;margin:0;font-weight:400}\n@media(max-width:720px){.csp-hero{padding:80px 0 72px}.csp-hero h1{font-size:36px}.csp-hero .lede{font-size:17px}}\n<\/style>\n<section class=\"csp-hero\">\n  <div class=\"wrap\">\n    <div class=\"crumbs\"><a href=\"\/\">Home<\/a><span>\/<\/span><a href=\"\/challenges\/\">Customer challenges<\/a><span>\/<\/span>AI-ready data foundation<\/div>\n    <div class=\"eyebrow\">Business challenge<\/div>\n    <h1>GenAI without a foundation is <em>theatre<\/em>.<\/h1>\n    <p class=\"lede\">Every team wants a copilot. Without a governed semantic model, the answers will be wrong, or worse, plausible and wrong.<\/p>\n  <\/div>\n<\/section><script type=\"application\/ld+json\">{\"@context\":\"https:\/\/schema.org\",\"@type\":\"BreadcrumbList\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/sparkle.consulting\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Customer challenges\",\"item\":\"https:\/\/sparkle.consulting\/challenges\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"AI-ready data foundation\",\"item\":\"https:\/\/sparkle.consulting\/challenges\/ai-ready-data-foundation\/\"}]}<\/script><script type=\"application\/ld+json\">{\"@context\":\"https:\/\/schema.org\",\"@type\":\"FAQPage\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"Why does AI need a \\\"data foundation\\\", can't we just connect ChatGPT to our data?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"You can. The result will be wrong, often. Models without governed grounding hallucinate confidently. The foundation is what makes \\\"this answer is reliable\\\" a true statement, not a wish.\"}},{\"@type\":\"Question\",\"name\":\"What goes in an \\\"AI-ready\\\" semantic layer?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"A Power BI semantic model with row-level security and certified definitions; a feature store for reusable ML features; a vector store with classifications, lineage and access policies. All three on Microsoft Fabric.\"}},{\"@type\":\"Question\",\"name\":\"Do we need a separate vector database?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Fabric now has a Vector Search preview. Plus Azure AI Search integrates natively. Dedicated vector DBs (Pinecone, Weaviate) only earn their keep at very high scale (>100M vectors).\"}},{\"@type\":\"Question\",\"name\":\"How long until foundation pays back?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Twelve weeks to live foundation. The payback is multiplicative. Every new AI use case after that starts at week three not week one. Customers typically ship 3-5 copilots in the next quarter.\"}},{\"@type\":\"Question\",\"name\":\"What about Microsoft Copilot, does that count as AI-ready?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Copilot for M365 grounds on your M365 graph (good for office tasks). Copilot Studio + AI Foundry let you ground on YOUR data with YOUR rules, which is what enterprise AI needs.\"}}]}<\/script>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-sl5x33m elementor-section-stretched elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"sl5x33m\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;stretch_section&quot;:&quot;section-stretched&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-curnmf3\" data-id=\"curnmf3\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-wn1m7qu elementor-widget elementor-widget-html\" data-id=\"wn1m7qu\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<style>\n.csp-tldr{background:#fef3e3;padding:48px 0;font-family:'Inter',sans-serif;border-top:1px solid #f0d9b3;border-bottom:1px solid #f0d9b3}\n.csp-tldr .wrap{max-width:1180px;margin:0 auto;padding:0 32px;display:flex;gap:24px;align-items:flex-start}\n.csp-tldr .pill{flex-shrink:0;background:#af6d00;color:#fff;font-size:11px;font-weight:700;letter-spacing:.18em;text-transform:uppercase;padding:6px 14px;border-radius:999px}\n.csp-tldr .text{font-size:17px;line-height:1.65;color:#724700;margin:0;font-weight:500}\n.csp-tldr .text strong{color:#163e52;font-weight:600}\n@media(max-width:720px){.csp-tldr{padding:36px 0}.csp-tldr .wrap{flex-direction:column;gap:14px}.csp-tldr .text{font-size:15.5px}}\n<\/style>\n<section class=\"csp-tldr\"><div class=\"wrap\">\n<div class=\"pill\">In brief<\/div>\n<p class=\"text\">Every team wants a copilot, no governed semantic layer underneath, embeddings sprawl across pilots. Fix it with a Microsoft Fabric semantic model + Purview-governed feature & vector store + Azure AI Foundry MLOps. Foundation live in 12 weeks, 3 copilots shipped on top.<\/p>\n<\/div><\/section>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-sucbt1r elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"sucbt1r\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-c42xuc8\" data-id=\"c42xuc8\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-whq82np elementor-widget elementor-widget-html\" data-id=\"whq82np\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<style>\n.csp-signs{background:#f8f9fb;padding:96px 0;font-family:'Inter',sans-serif}\n.csp-signs .wrap{max-width:1180px;margin:0 auto;padding:0 32px}\n.csp-signs .head{max-width:760px;margin-bottom:52px}\n.csp-signs .eyebrow{font-size:12px;font-weight:700;letter-spacing:.18em;text-transform:uppercase;color:#af6d00;margin-bottom:14px}\n.csp-signs h2{color:#163e52!important;font-size:38px;line-height:1.15;margin:0 0 14px;font-weight:700;letter-spacing:-.02em;font-family:'Inter',sans-serif}\n.csp-signs .sub{font-size:16px;color:#567f93;margin:0}\n.csp-signs .grid{display:grid;grid-template-columns:repeat(2,1fr);gap:14px}\n.csp-signs .sign{background:#fff;border:1px solid #e5e9ed;border-radius:12px;padding:20px 24px;display:flex;gap:14px;align-items:flex-start;transition:border-color .2s,box-shadow .2s}\n.csp-signs .sign:hover{border-color:#cdd9df;box-shadow:0 2px 12px rgba(22,62,82,.05)}\n.csp-signs .sign .check{flex-shrink:0;width:24px;height:24px;border-radius:50%;background:#fef3e3;color:#af6d00;display:flex;align-items:center;justify-content:center;font-weight:700;font-size:13px;margin-top:1px}\n.csp-signs .sign p{margin:0;font-size:15px;line-height:1.5;color:#163e52}\n@media(max-width:720px){.csp-signs{padding:72px 0}.csp-signs h2{font-size:30px}.csp-signs .grid{grid-template-columns:1fr}}\n<\/style>\n<section class=\"csp-signs\">\n  <div class=\"wrap\">\n    <div class=\"head\">\n      <div class=\"eyebrow\">Signs you have this challenge<\/div>\n      <h2>If half of these sound familiar, this is your fight.<\/h2>\n      <p class=\"sub\">No formal assessment needed, just an honest look at the daily friction.<\/p>\n    <\/div>\n    <div class=\"grid\">\n      <div class=\"sign\"><div class=\"check\">\u2713<\/div><p>You're piloting GenAI tools without a clear data layer to ground them.<\/p><\/div><div class=\"sign\"><div class=\"check\">\u2713<\/div><p>There's no central semantic model, so every AI use case rebuilds context from scratch.<\/p><\/div><div class=\"sign\"><div class=\"check\">\u2713<\/div><p>Vector embeddings live in three pilot environments and nowhere governed.<\/p><\/div><div class=\"sign\"><div class=\"check\">\u2713<\/div><p>You can't answer \"what data is this AI grounded on?\" within five minutes.<\/p><\/div><div class=\"sign\"><div class=\"check\">\u2713<\/div><p>Sensitive data leaks into AI prompts because there's no DLP at the data layer.<\/p><\/div><div class=\"sign\"><div class=\"check\">\u2713<\/div><p>AI Act-relevant context (lineage, classifications, owners) doesn't exist for the data feeding models.<\/p><\/div>\n    <\/div>\n  <\/div>\n<\/section>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-s4vzgak elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"s4vzgak\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-ctzdixv\" data-id=\"ctzdixv\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-w55fmxz elementor-widget elementor-widget-html\" data-id=\"w55fmxz\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<style>\n.csp-why{background:#fff;padding:96px 0;font-family:'Inter',sans-serif}\n.csp-why .wrap{max-width:1180px;margin:0 auto;padding:0 32px}\n.csp-why .body{display:grid;grid-template-columns:1fr 1fr;gap:72px}\n.csp-why .col h2{color:#163e52!important;font-size:32px;line-height:1.2;margin:0 0 32px;font-weight:700;letter-spacing:-.02em;font-family:'Inter',sans-serif;display:flex;align-items:center;gap:14px}\n.csp-why .col h2:before{content:'';width:32px;height:3px;background:#215972;border-radius:2px}\n.csp-why .costs h2:before{background:#af6d00}\n.csp-why .item{padding:22px 0;border-top:1px solid #e5e9ed}\n.csp-why .item:first-of-type{border-top:0;padding-top:0}\n.csp-why .item h3{color:#215972!important;font-size:17px;margin:0 0 6px;font-weight:600;font-family:'Inter',sans-serif}\n.csp-why .item p{font-size:14.5px;line-height:1.6;color:#567f93;margin:0}\n.csp-why .costs .item h3{color:#af6d00!important}\n@media(max-width:900px){.csp-why{padding:72px 0}.csp-why .body{grid-template-columns:1fr;gap:48px}}\n<\/style>\n<section class=\"csp-why\">\n  <div class=\"wrap\">\n    <div class=\"body\">\n      <div class=\"col\">\n        <h2>Why it happens<\/h2>\n        <div class=\"item\"><h3>No governed semantic layer<\/h3><p>Without a Fabric semantic model + Purview governance, AI grounds on whatever data team has access to, which is usually too much or too little.<\/p><\/div><div class=\"item\"><h3>No feature store<\/h3><p>Each AI use case rebuilds features from scratch, multiplying effort and divergence.<\/p><\/div><div class=\"item\"><h3>No vector strategy<\/h3><p>Embeddings sprawled across pilots: no shared embedding store, no governance, no reuse.<\/p><\/div>\n      <\/div>\n      <div class=\"col costs\">\n        <h2>What it costs you<\/h2>\n        <div class=\"item\"><h3>Hallucinated decisions<\/h3><p>AI grounded on the wrong data answers confidently and incorrectly, until the consequence hits the customer.<\/p><\/div><div class=\"item\"><h3>Stalled use cases<\/h3><p>Without a foundation, every new AI initiative starts at week one. Most never reach week ten.<\/p><\/div><div class=\"item\"><h3>AI Act exposure<\/h3><p>High-risk models without documented training\/grounding data are unauditable, which means unshippable.<\/p><\/div>\n      <\/div>\n    <\/div>\n  <\/div>\n<\/section>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-sv4f7nw elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"sv4f7nw\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-c1kcutg\" data-id=\"c1kcutg\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-wktl1le elementor-widget elementor-widget-html\" data-id=\"wktl1le\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<style>\n.csp-help{background:#f8f9fb;padding:96px 0;font-family:'Inter',sans-serif}\n.csp-help .wrap{max-width:1180px;margin:0 auto;padding:0 32px}\n.csp-help .head{max-width:760px;margin-bottom:52px}\n.csp-help .eyebrow{font-size:12px;font-weight:700;letter-spacing:.18em;text-transform:uppercase;color:#215972;margin-bottom:14px}\n.csp-help h2{color:#163e52!important;font-size:38px;line-height:1.15;margin:0 0 14px;font-weight:700;letter-spacing:-.02em;font-family:'Inter',sans-serif}\n.csp-help .sub{font-size:16px;color:#567f93;margin:0;max-width:680px}\n.csp-help .cards{display:grid;grid-template-columns:repeat(3,1fr);gap:18px}\n.csp-help .card{background:#fff;border:1px solid #e5e9ed;border-radius:14px;padding:32px 28px;display:flex;flex-direction:column;transition:border-color .25s,transform .25s,box-shadow .25s}\n.csp-help .card:hover{border-color:#215972;transform:translateY(-3px);box-shadow:0 8px 24px rgba(22,62,82,.08)}\n.csp-help .card .num{font-size:13px;font-weight:700;color:#f29100;letter-spacing:.12em;margin-bottom:14px}\n.csp-help .card h3{color:#163e52!important;font-size:20px;margin:0 0 12px;font-weight:700;line-height:1.25;font-family:'Inter',sans-serif}\n.csp-help .card p{font-size:14.5px;line-height:1.6;color:#567f93;margin:0 0 18px;flex:1}\n.csp-help .card a{font-size:14px;color:#215972;font-weight:600;text-decoration:none;display:inline-flex;align-items:center;gap:6px}\n.csp-help .card a:after{content:'\u2192';transition:transform .2s}\n.csp-help .card a:hover:after{transform:translateX(4px)}\n@media(max-width:900px){.csp-help{padding:72px 0}.csp-help h2{font-size:30px}.csp-help .cards{grid-template-columns:1fr}}\n<\/style>\n<section class=\"csp-help\">\n  <div class=\"wrap\">\n    <div class=\"head\">\n      <div class=\"eyebrow\">How Sparkle helps<\/div>\n      <h2>The shortest path from problem to results.<\/h2>\n      <p class=\"sub\">Microsoft-first stack. Belgian and Estonian engineering. Senior team kickoff through delivery to support.<\/p>\n    <\/div>\n    <div class=\"cards\">\n      <div class=\"card\"><div class=\"num\">01<\/div><h3>Microsoft Fabric semantic model<\/h3><p>A governed, certified semantic layer with row-level security: the spine that grounds every AI use case.<\/p><a href=\"\/solutions\/data-analytics\/\">See solution<\/a><\/div><div class=\"card\"><div class=\"num\">02<\/div><h3>Purview-governed feature & vector store<\/h3><p>Reusable features and embeddings with classifications, lineage and access policies: AI-ready and audit-ready.<\/p><a href=\"\/solutions\/data-governance\/\">See solution<\/a><\/div><div class=\"card\"><div class=\"num\">03<\/div><h3>AI architecture & MLOps<\/h3><p>Azure AI Foundry, Semantic Kernel, evaluation harnesses, so AI use cases ship to production with confidence.<\/p><a href=\"\/solutions\/artificial-intelligence-ai\/\">See solution<\/a><\/div>\n    <\/div>\n  <\/div>\n<\/section>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-sbcqn3z elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"sbcqn3z\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-cj3nw4g\" data-id=\"cj3nw4g\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-wkabz2d elementor-widget elementor-widget-html\" data-id=\"wkabz2d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<style>\n.csp-case{background:#fff;padding:96px 0;font-family:'Inter',sans-serif}\n.csp-case .wrap{max-width:1180px;margin:0 auto;padding:0 32px}\n.csp-case .head{max-width:680px;margin-bottom:44px}\n.csp-case .eyebrow{font-size:12px;font-weight:700;letter-spacing:.18em;text-transform:uppercase;color:#af6d00;margin-bottom:14px}\n.csp-case h2{color:#163e52!important;font-size:32px;line-height:1.2;margin:0;font-weight:700;letter-spacing:-.02em;font-family:'Inter',sans-serif}\n.csp-case .grid{display:grid;grid-template-columns:1.1fr 1fr;gap:48px;align-items:center;background:#f8f9fb;border:1px solid #e5e9ed;border-radius:20px;padding:52px;overflow:hidden}\n.csp-case .body .meta{font-size:13px;color:#af6d00;font-weight:600;letter-spacing:.05em;margin-bottom:14px;text-transform:uppercase}\n.csp-case .body h3{color:#163e52!important;font-size:25px;margin:0 0 18px;font-weight:700;line-height:1.3;font-family:'Inter',sans-serif}\n.csp-case .body p{font-size:15.5px;line-height:1.65;color:#567f93;margin:0 0 24px}\n.csp-case .body .stats{display:flex;gap:32px;margin-bottom:26px;flex-wrap:wrap}\n.csp-case .body .stat{display:flex;flex-direction:column}\n.csp-case .body .stat .v{font-size:24px;font-weight:700;color:#215972;letter-spacing:-.01em}\n.csp-case .body .stat .l{font-size:11.5px;color:#567f93;text-transform:uppercase;letter-spacing:.06em;margin-top:3px}\n.csp-case .body a{font-size:14px;color:#215972;font-weight:600;text-decoration:none;display:inline-flex;align-items:center;gap:6px}\n.csp-case .body a:after{content:'\u2192';transition:transform .2s}\n.csp-case .body a:hover:after{transform:translateX(4px)}\n.csp-case .thumb{aspect-ratio:1.1\/1;border-radius:14px;background:linear-gradient(140deg,#215972 0%,#163e52 100%);position:relative;overflow:hidden;display:flex;align-items:center;justify-content:center;padding:36px}\n.csp-case .thumb svg{width:100%;height:100%}\n@media(max-width:900px){.csp-case{padding:72px 0}.csp-case .grid{grid-template-columns:1fr;padding:36px;gap:32px}.csp-case .body .stats{gap:18px}.csp-case .body .stat .v{font-size:20px}}\n<\/style>\n<section class=\"csp-case\">\n  <div class=\"wrap\">\n    <div class=\"head\">\n      <div class=\"eyebrow\">Customer case spotlight<\/div>\n      <h2>When the foundation came first, and the copilots followed.<\/h2>\n    <\/div>\n    <div class=\"grid\">\n      <div class=\"body\">\n        <div class=\"meta\">Public sector \u00b7 Belgium<\/div>\n        <h3>Fabric semantic layer + Purview \u00b7 AI-ready in 12 weeks<\/h3>\n        <p>A Belgian public-sector organisation with five AI pilots and no governed data layer. We built a Microsoft Fabric semantic model, governed it with Purview, established a shared vector store and feature catalogue. Three GenAI copilots shipped to production in the next quarter: all grounded, evaluated and AI Act-tiered.<\/p>\n        <div class=\"stats\">\n          <div class=\"stat\"><div class=\"v\">12 weeks<\/div><div class=\"l\">foundation live<\/div><\/div><div class=\"stat\"><div class=\"v\">3 copilots<\/div><div class=\"l\">shipped on top<\/div><\/div><div class=\"stat\"><div class=\"v\">AI Act<\/div><div class=\"l\">tiered & documented<\/div><\/div>\n        <\/div>\n        \n      <\/div>\n      <div class=\"thumb\"><svg viewBox=\"0 0 320 280\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" aria-hidden=\"true\"><g font-family=\"Inter,sans-serif\" font-weight=\"700\"><rect x=\"60\" y=\"50\" width=\"200\" height=\"38\" rx=\"8\" fill=\"#f29100\"\/><text x=\"160\" y=\"74\" text-anchor=\"middle\" font-size=\"13\" fill=\"#fff\">3 GenAI COPILOTS \u00b7 LIVE<\/text><rect x=\"40\" y=\"98\" width=\"240\" height=\"38\" rx=\"8\" fill=\"#567f93\"\/><text x=\"160\" y=\"122\" text-anchor=\"middle\" font-size=\"12\" fill=\"#fff\">FEATURE STORE \u00b7 VECTORS<\/text><rect x=\"20\" y=\"146\" width=\"280\" height=\"38\" rx=\"8\" fill=\"#215972\"\/><text x=\"160\" y=\"170\" text-anchor=\"middle\" font-size=\"12\" fill=\"#fff\">FABRIC SEMANTIC LAYER<\/text><rect x=\"20\" y=\"194\" width=\"280\" height=\"38\" rx=\"8\" fill=\"#163e52\" stroke=\"#567f93\" stroke-width=\"1\"\/><text x=\"160\" y=\"218\" text-anchor=\"middle\" font-size=\"12\" fill=\"#fff\">MICROSOFT PURVIEW \u00b7 GOVERNED<\/text><text x=\"160\" y=\"252\" text-anchor=\"middle\" font-size=\"11\" fill=\"#fff\" opacity=\".5\">FOUNDATION FIRST \u00b7 COPILOTS NEXT<\/text><\/g><\/svg><\/div>\n    <\/div>\n  <\/div>\n<\/section>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-sgbmget elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"sgbmget\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-cacia7w\" data-id=\"cacia7w\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-w1binpv elementor-widget elementor-widget-html\" data-id=\"w1binpv\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<style>\n.csp-cta{background:#fff;padding:96px 0;text-align:center;position:relative;font-family:'Inter',sans-serif}\n.csp-cta .wrap{max-width:780px;margin:0 auto;padding:0 32px}\n.csp-cta h2{color:#163e52!important;font-size:40px;line-height:1.15;margin:0 0 18px;font-weight:700;letter-spacing:-.02em;font-family:'Inter',sans-serif}\n.csp-cta h2 em{font-style:italic;color:#f29100;font-weight:600}\n.csp-cta p{font-size:17px;line-height:1.6;color:#567f93;margin:0 0 36px}\n.csp-cta .btns{display:inline-flex;gap:14px;flex-wrap:wrap;justify-content:center}\n.csp-cta .btn{padding:15px 30px;border-radius:9px;font-size:15px;font-weight:600;text-decoration:none;display:inline-flex;align-items:center;gap:8px;transition:transform .2s,background .2s,box-shadow .2s}\n.csp-cta .btn-primary{background:#f29100;color:#fff;box-shadow:0 4px 14px rgba(242,145,0,.25)}\n.csp-cta .btn-primary:hover{background:#af6d00;transform:translateY(-1px);box-shadow:0 6px 20px rgba(242,145,0,.35)}\n.csp-cta .btn-secondary{background:transparent;color:#215972;border:1.5px solid #215972}\n.csp-cta .btn-secondary:hover{background:#215972;color:#fff}\n@media(max-width:720px){.csp-cta{padding:72px 0}.csp-cta h2{font-size:30px}}\n<\/style>\n<section class=\"csp-cta\">\n  <div class=\"wrap\">\n    <h2>Build the foundation <em>before<\/em> the copilot.<\/h2>\n    <p>Free 60-minute readiness call: we'll map your AI foundation gaps.<\/p>\n    <div class=\"btns\">\n      <a class=\"btn btn-primary\" href=\"\/contact-us\/\">Let's talk<\/a>\n      <a class=\"btn btn-secondary\" href=\"\/signature-cases\/\">See more cases<\/a>\n    <\/div>\n  <\/div>\n<\/section>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-ssk14wg elementor-section-stretched elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"ssk14wg\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;stretch_section&quot;:&quot;section-stretched&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-cu74285\" data-id=\"cu74285\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-w0rnh03 elementor-widget elementor-widget-html\" data-id=\"w0rnh03\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<style>\n.csp-faq{background:#fff;padding:96px 0;font-family:'Inter',sans-serif}\n.csp-faq .wrap{max-width:880px;margin:0 auto;padding:0 32px}\n.csp-faq .head{margin-bottom:40px}\n.csp-faq .eyebrow{font-size:12px;font-weight:700;letter-spacing:.18em;text-transform:uppercase;color:#215972;margin-bottom:14px}\n.csp-faq h2{color:#163e52!important;font-size:36px;line-height:1.15;margin:0;font-weight:700;letter-spacing:-.02em;font-family:'Inter',sans-serif}\n.csp-faq h2 em{font-style:italic;color:#f29100;font-weight:600}\n.csp-faq details{border-top:1px solid #e5e9ed;padding:0;margin:0}\n.csp-faq details:last-of-type{border-bottom:1px solid #e5e9ed}\n.csp-faq details[open]{background:#f8f9fb}\n.csp-faq summary{padding:22px 0;font-size:17px;font-weight:600;color:#163e52;cursor:pointer;display:flex;align-items:center;justify-content:space-between;gap:14px;list-style:none;line-height:1.4}\n.csp-faq summary::-webkit-details-marker{display:none}\n.csp-faq summary:after{content:'+';font-size:24px;font-weight:300;color:#f29100;line-height:1;flex-shrink:0;transition:transform .25s}\n.csp-faq details[open] summary:after{transform:rotate(45deg)}\n.csp-faq details[open] summary{padding:22px 22px 14px}\n.csp-faq .a{padding:0 22px 22px;font-size:15.5px;line-height:1.65;color:#567f93;margin:0}\n@media(max-width:720px){.csp-faq{padding:72px 0}.csp-faq h2{font-size:28px}.csp-faq summary{font-size:16px}}\n<\/style>\n<section class=\"csp-faq\"><div class=\"wrap\">\n<div class=\"head\">\n<div class=\"eyebrow\">Frequently asked<\/div>\n<h2>Common questions, <em>direct answers<\/em>.<\/h2>\n<\/div>\n<details><summary>Why does AI need a \"data foundation\", can't we just connect ChatGPT to our data?<\/summary><p class=\"a\">You can. The result will be wrong, often. Models without governed grounding hallucinate confidently. The foundation is what makes \"this answer is reliable\" a true statement, not a wish.<\/p><\/details><details><summary>What goes in an \"AI-ready\" semantic layer?<\/summary><p class=\"a\">A Power BI semantic model with row-level security and certified definitions; a feature store for reusable ML features; a vector store with classifications, lineage and access policies. All three on Microsoft Fabric.<\/p><\/details><details><summary>Do we need a separate vector database?<\/summary><p class=\"a\">Fabric now has a Vector Search preview. Plus Azure AI Search integrates natively. Dedicated vector DBs (Pinecone, Weaviate) only earn their keep at very high scale (>100M vectors).<\/p><\/details><details><summary>How long until foundation pays back?<\/summary><p class=\"a\">Twelve weeks to live foundation. The payback is multiplicative. Every new AI use case after that starts at week three not week one. Customers typically ship 3-5 copilots in the next quarter.<\/p><\/details><details><summary>What about Microsoft Copilot, does that count as AI-ready?<\/summary><p class=\"a\">Copilot for M365 grounds on your M365 graph (good for office tasks). Copilot Studio + AI Foundry let you ground on YOUR data with YOUR rules, which is what enterprise AI needs.<\/p><\/details>\n<\/div><\/section>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-slnppo4 elementor-section-stretched elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"slnppo4\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;stretch_section&quot;:&quot;section-stretched&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-cwnr7it\" data-id=\"cwnr7it\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-w6264cg elementor-widget elementor-widget-html\" data-id=\"w6264cg\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<style id=\"ms-partner-strip\">\n.ms-partner-strip{background:#0f2d3d;padding:32px 0;font-family:'Inter',sans-serif;border-top:1px solid rgba(255,255,255,.06)}\n.ms-partner-strip .wrap{max-width:1180px;margin:0 auto;padding:0 32px;display:flex;align-items:center;justify-content:center;gap:16px;flex-wrap:wrap}\n.ms-partner-strip .badge{display:flex;align-items:center;gap:14px;padding:14px 22px;background:rgba(255,255,255,.04);border:1px solid rgba(255,255,255,.12);border-radius:12px}\n.ms-partner-strip svg{width:32px;height:32px;flex-shrink:0}\n.ms-partner-strip .lbl{font-size:13px;line-height:1.35;color:#cdd9df}\n.ms-partner-strip .lbl strong{color:#fff;font-weight:600;font-size:14px;display:block;margin-bottom:1px}\n.ms-partner-strip .lbl .spec{color:#f29100;font-weight:600}\n@media(max-width:600px){.ms-partner-strip{padding:24px 0}.ms-partner-strip .badge{padding:12px 18px}}\n<\/style>\n<section class=\"ms-partner-strip\"><div class=\"wrap\">\n<div class=\"badge\"><svg viewBox=\"0 0 23 23\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><rect x=\"0\" y=\"0\" width=\"11\" height=\"11\" fill=\"#F25022\"\/><rect x=\"12\" y=\"0\" width=\"11\" height=\"11\" fill=\"#7FBA00\"\/><rect x=\"0\" y=\"12\" width=\"11\" height=\"11\" fill=\"#00A4EF\"\/><rect x=\"12\" y=\"12\" width=\"11\" height=\"11\" fill=\"#FFB900\"\/><\/svg><div class=\"lbl\"><strong>Microsoft Solution Partner<\/strong><span class=\"spec\">Data & AI \u00b7 Azure<\/span><\/div><\/div>\n<div class=\"badge\"><svg viewBox=\"0 0 23 23\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><rect x=\"0\" y=\"0\" width=\"11\" height=\"11\" fill=\"#F25022\"\/><rect x=\"12\" y=\"0\" width=\"11\" height=\"11\" fill=\"#7FBA00\"\/><rect x=\"0\" y=\"12\" width=\"11\" height=\"11\" fill=\"#00A4EF\"\/><rect x=\"12\" y=\"12\" width=\"11\" height=\"11\" fill=\"#FFB900\"\/><\/svg><div class=\"lbl\"><strong>Solutions Partner<\/strong><span class=\"spec\">Power Platform \u00b7 Modern Work<\/span><\/div><\/div>\n<div class=\"badge\"><svg viewBox=\"0 0 32 32\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><circle cx=\"16\" cy=\"16\" r=\"15\" fill=\"none\" stroke=\"#f29100\" stroke-width=\"2\"\/><path d=\"M11 16 L14 19 L21 12\" stroke=\"#f29100\" stroke-width=\"2.5\" fill=\"none\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><div class=\"lbl\"><strong>Cronos Group<\/strong><span class=\"spec\">Part of 9,000+ network<\/span><\/div><\/div>\n<\/div><\/section>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Home\/Customer challenges\/AI-ready data foundation Business challenge GenAI without a foundation is theatre. Every team wants a copilot. Without a governed semantic model, the answers will be wrong, or worse, plausible &hellip;<\/p>\n<p class=\"read-more\"> <a class=\"\" href=\"https:\/\/sparkle.consulting\/fr\/challenges\/ai-ready-data-foundation\/\"> <span class=\"screen-reader-text\">AI-Ready Data Foundation<\/span> Lire la suite \u00bb<\/a><\/p>","protected":false},"author":4,"featured_media":0,"parent":1511,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"_uag_custom_page_level_css":"","site-sidebar-layout":"no-sidebar","site-content-layout":"page-builder","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"disabled","ast-breadcrumbs-content":"","ast-featured-img":"disabled","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","footnotes":""},"class_list":["post-12564","page","type-page","status-publish","hentry"],"acf":[],"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false,"trp-custom-language-flag":false},"uagb_author_info":{"display_name":"Kristof Van de Loock","author_link":"https:\/\/sparkle.consulting\/fr\/author\/kristof-vandeloocksparkle-consulting\/"},"uagb_comment_info":0,"uagb_excerpt":"Home\/Customer challenges\/AI-ready data foundation Business challenge GenAI without a foundation is theatre. Every team wants a copilot. Without a governed semantic model, the answers will be wrong, or worse, plausible &hellip; AI-Ready Data Foundation Read More \u00bb","_links":{"self":[{"href":"https:\/\/sparkle.consulting\/fr\/wp-json\/wp\/v2\/pages\/12564","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sparkle.consulting\/fr\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sparkle.consulting\/fr\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sparkle.consulting\/fr\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/sparkle.consulting\/fr\/wp-json\/wp\/v2\/comments?post=12564"}],"version-history":[{"count":30,"href":"https:\/\/sparkle.consulting\/fr\/wp-json\/wp\/v2\/pages\/12564\/revisions"}],"predecessor-version":[{"id":14214,"href":"https:\/\/sparkle.consulting\/fr\/wp-json\/wp\/v2\/pages\/12564\/revisions\/14214"}],"up":[{"embeddable":true,"href":"https:\/\/sparkle.consulting\/fr\/wp-json\/wp\/v2\/pages\/1511"}],"wp:attachment":[{"href":"https:\/\/sparkle.consulting\/fr\/wp-json\/wp\/v2\/media?parent=12564"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}