{"id":25057,"date":"2025-09-30T10:23:00","date_gmt":"2025-09-30T15:23:00","guid":{"rendered":"https:\/\/blog.planview.com\/?p=25057"},"modified":"2025-10-17T09:19:08","modified_gmt":"2025-10-17T14:19:08","slug":"why-data-architecture-is-the-hidden-key-to-agentic-ai","status":"publish","type":"post","link":"https:\/\/blog.planview.com\/why-data-architecture-is-the-hidden-key-to-agentic-ai\/","title":{"rendered":"Why Data Architecture is the Hidden Key to Agentic AI"},"content":{"rendered":"\n<p>&#8220;Garbage in, garbage out&#8221; has long been a reality in enterprise data management. But with the rise of autonomous AI agents, the consequences of poor data have never been greater.<\/p>\n\n\n\n<p>Unlike traditional analytics or dashboards, agents don\u2019t just interpret information; they act on it. And if their decisions are based on fragmented, inconsistent, or siloed data, enterprises risk accelerating inefficiency rather than eliminating it.<\/p>\n\n\n\n<p>In a recent fireside conversation, Planview CEO Razat Gaurav sat down with Alan Manuel, GVP of Product Management, to explore how enterprises can prepare their data foundations for the era of agentic AI. You can watch their full discussion below:<\/p>\n\n\n<div class=\"video-thumbnail text-center video-thumbnail-link-wrapper\">\n  <a class=\"vidyard-modal\" href=\"#modal-video-vidyard\" data-uuid=\"XtakaW4TmHG6txZCYoXNWo\" data-toggle=\"modal\" data-target=\"#modal-video-vidyard\">\n    <img decoding=\"async\" class=\"img-responsive center-block\" title=\"Video: \" src=\"https:\/\/play.vidyard.com\/XtakaW4TmHG6txZCYoXNWo.jpg\" alt=\"Video: \">\n    <i class=\"icon-play-circle-solid\"><\/i>\n  <\/a>\n<\/div>\n\n\n<p>Alan noted throughout the conversation that while individuals may be working at capacity, customers often don\u2019t see outcomes because the system isn\u2019t aligned. That\u2019s why, he argued, platforms require more than raw access to information; they need structured, governed, and semantically consistent data to produce trustworthy results.<\/p>\n\n\n\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_80 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/blog.planview.com\/why-data-architecture-is-the-hidden-key-to-agentic-ai\/#Why_%E2%80%9Cgarbage_in_garbage_out%E2%80%9D_is_magnified_with_autonomous_AI\" >Why \u201cgarbage in, garbage out\u201d is magnified with autonomous AI<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/blog.planview.com\/why-data-architecture-is-the-hidden-key-to-agentic-ai\/#Three_Foundational_Layers_for_Enterprise-Ready_AI_Agents\" >Three Foundational Layers for Enterprise-Ready AI Agents<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/blog.planview.com\/why-data-architecture-is-the-hidden-key-to-agentic-ai\/#Codifying_business_logic_through_alignment\" >Codifying business logic through alignment<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/blog.planview.com\/why-data-architecture-is-the-hidden-key-to-agentic-ai\/#From_outputs_to_outcomes\" >From outputs to outcomes<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/blog.planview.com\/why-data-architecture-is-the-hidden-key-to-agentic-ai\/#The_opportunity_ahead\" >The opportunity ahead<\/a><\/li><\/ul><\/nav><\/div>\n<h2 class=\"wp-block-heading\" id=\"h-why-garbage-in-garbage-out-is-magnified-with-autonomous-ai\"><span class=\"ez-toc-section\" id=\"Why_%E2%80%9Cgarbage_in_garbage_out%E2%80%9D_is_magnified_with_autonomous_AI\"><\/span>Why \u201cgarbage in, garbage out\u201d is magnified with autonomous AI<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Planview\u2019s research into more than 3,500 value streams shows just how vast the efficiency gap can be. According to Alan, \u201cFor every dollar a typical company puts into software development, only about 25 cents actually translates into business results. The rest is lost to misalignment, teams working on the wrong things, or waste in one form or another.\u201d<\/p>\n\n\n\n<p>Autonomous agents can make this worse if they rely on incomplete or siloed data. An agent might plan more work than teams can realistically deliver, ignore bottlenecks between groups, or chase outcomes that are disconnected from strategic goals.<\/p>\n\n\n\n<p>Without a unified view of capacity and value, AI risks reinforcing the very problems it promises to solve. A unified view of capacity and value means knowing who can do the work, and whether it\u2019s the right work to begin with. Without that connection, teams stay busy, but customers see little change. When you line up resources with real outcomes, every hour spent, whether by a developer or an AI agent, moves the business forward.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-three-foundational-layers-for-enterprise-ready-ai-agents\"><span class=\"ez-toc-section\" id=\"Three_Foundational_Layers_for_Enterprise-Ready_AI_Agents\"><\/span>Three Foundational Layers for Enterprise-Ready AI Agents<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>To build AI agents leaders can trust, enterprises need (in part) a governed, connected data architecture. Alan outlined three critical layers:<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-data-foundation\">Data foundation<\/h3>\n\n\n\n<p>Agents need visibility into all enterprise systems, not just isolated silos. \u201cIf you\u2019re planning for more than your actual productive capacity, which 99% of companies not using Planview are doing, you\u2019re setting yourself up for failure,\u201d Alan explained. Editorially, this is where Planview\u2019s Flow Framework, with 60+ pre-built connectors, comes in \u2014 providing the breadth of inputs needed to understand investments, capacity, and work in flight.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-governance-layer\">Governance layer<\/h3>\n\n\n\n<p>Autonomy without control is dangerous. A strong governance layer enforces permissions, security, and context so agents act within safe boundaries. Product managers, for example, can let AI recommend backlog priorities without exposing sensitive financials.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-alignment-layer\">Alignment Layer<\/h3>\n\n\n\n<p>Beyond data breadth and governance, enterprises need a way to connect strategy to execution. Alan emphasized that OKRs act like the \u201cnervous system\u201d of the organization, carrying signals from strategic portfolios down to individual teams. This alignment ensures each group understands what part of the problem they\u2019re solving, preventing strategy from stalling at the top and keeping daily work connected to business outcomes.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-codifying-business-logic-through-alignment\"><span class=\"ez-toc-section\" id=\"Codifying_business_logic_through_alignment\"><\/span>Codifying business logic through alignment<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>This alignment layer also codifies business logic \u2014 the rules of the road for AI reasoning. For example, if a company sets a strategic goal to improve customer experience, OKRs help translate that into measurable outcomes for each team. With strategic portfolio priorities, OKRs, and team-level planning frameworks in place, an agent can recommend backlog adjustments or highlight risks in meeting objectives. Without them, strategy is easily lost in translation between executives and developers.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-from-outputs-to-outcomes\"><span class=\"ez-toc-section\" id=\"From_outputs_to_outcomes\"><\/span>From outputs to outcomes<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Another recurring theme in the discussion was the shift from outputs to outcomes. Developers don\u2019t want to work endlessly on low-value backlog items; CFOs don\u2019t want activity for its own sake. Both want meaningful progress toward strategic goals.<\/p>\n\n\n\n<p>Alan described OKRs as the \u201cnervous system\u201d of the enterprise \u2014 carrying signals from the strategic portfolio (the brain) to every team in the organization. \u201cEach team needs to know what part of the problem they\u2019re solving,\u201d he said. \u201cOtherwise, strategy isn\u2019t worth the electrons it\u2019s stored in.\u201d<\/p>\n\n\n\n<p>Agentic AI becomes powerful when it can connect these layers: strategy portfolios, cascading OKRs, and team-level planning. With trustworthy data, agents can surface bottlenecks, rebalance work in line with strategic goals, and keep the whole system moving toward outcomes rather than outputs.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-the-opportunity-ahead\"><span class=\"ez-toc-section\" id=\"The_opportunity_ahead\"><\/span>The opportunity ahead<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>As Razat framed in the conversation, technology executives are under pressure to deliver more productivity, more velocity, and better quality, all while justifying rising levels of investment. Autonomous agents can help close the gap, but only if they stand on a solid data architecture.<\/p>\n\n\n\n<p>And, as Alan summed up from a different angle: \u201cIf you want to make developers happy, and developers are a scarce resource, make sure they\u2019re working on meaningful, high-value items. That\u2019s what the CFO wants, and that\u2019s what the developers want.\u201d<\/p>\n\n\n\n<p>Agentic AI is not a shortcut. It is an amplifier. Enterprises that invest in governed, connected, 360-degree data today will be the ones who unlock its full potential tomorrow.<\/p>\n\n\n\n<p><strong>See how you can drive faster, smarter decision-making with Planview Anvi<sup>TM<\/sup>, your next-generation AI for connected work. <\/strong><a href=\"https:\/\/www.planview.com\/ai\/\">Learn more<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>&#8220;Garbage in, garbage out&#8221; has long been a reality in enterprise data management. But with the rise of autonomous AI agents in the enterprise, the consequences of poor data have never been greater.<\/p>\n","protected":false},"author":276,"featured_media":25071,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_editorskit_title_hidden":false,"_editorskit_reading_time":0,"_editorskit_is_block_options_detached":false,"_editorskit_block_options_position":"{}","footnotes":""},"categories":[9582,9546],"tags":[],"class_list":["post-25057","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence","category-transformation"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v26.8 (Yoast SEO v26.8) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Why Data Architecture is the Hidden Key to Agentic AI - Planview Blog<\/title>\n<meta name=\"description\" content=\"Discover why data architecture is the hidden key to agentic AI, ensuring trustworthy decisions through aligned, and connected enterprise data\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/blog.planview.com\/why-data-architecture-is-the-hidden-key-to-agentic-ai\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Why Data Architecture is the Hidden Key to Agentic AI\" \/>\n<meta property=\"og:description\" content=\"Discover why data architecture is the hidden key to agentic AI, ensuring trustworthy decisions through aligned, and connected enterprise data\" \/>\n<meta property=\"og:url\" content=\"https:\/\/blog.planview.com\/why-data-architecture-is-the-hidden-key-to-agentic-ai\/\" \/>\n<meta property=\"og:site_name\" content=\"Planview Blog\" \/>\n<meta property=\"article:publisher\" content=\"http:\/\/www.facebook.com\/pages\/Planview-Inc\/89422974772\" \/>\n<meta property=\"article:published_time\" content=\"2025-09-30T15:23:00+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-10-17T14:19:08+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/blog.planview.com\/wp-content\/uploads\/2025\/09\/iStock-2187564949_1200x680.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1200\" \/>\n\t<meta property=\"og:image:height\" content=\"680\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Alex Matheson\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@Planview\" \/>\n<meta name=\"twitter:site\" content=\"@Planview\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Alex Matheson\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"5 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/blog.planview.com\/why-data-architecture-is-the-hidden-key-to-agentic-ai\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/blog.planview.com\/why-data-architecture-is-the-hidden-key-to-agentic-ai\/\"},\"author\":{\"name\":\"Alex Matheson\",\"@id\":\"https:\/\/blog.planview.com\/#\/schema\/person\/268262313fabce7f435ac33580db21de\"},\"headline\":\"Why Data Architecture is the Hidden Key to Agentic AI\",\"datePublished\":\"2025-09-30T15:23:00+00:00\",\"dateModified\":\"2025-10-17T14:19:08+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/blog.planview.com\/why-data-architecture-is-the-hidden-key-to-agentic-ai\/\"},\"wordCount\":897,\"publisher\":{\"@id\":\"https:\/\/blog.planview.com\/#organization\"},\"image\":{\"@id\":\"https:\/\/blog.planview.com\/why-data-architecture-is-the-hidden-key-to-agentic-ai\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/blog.planview.com\/wp-content\/uploads\/2025\/09\/iStock-2187564949_1200x680.png\",\"articleSection\":[\"Artificial Intelligence\",\"Transformation\"],\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/blog.planview.com\/why-data-architecture-is-the-hidden-key-to-agentic-ai\/\",\"url\":\"https:\/\/blog.planview.com\/why-data-architecture-is-the-hidden-key-to-agentic-ai\/\",\"name\":\"Why Data Architecture is the Hidden Key to Agentic AI - 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