{"id":14361,"date":"2026-07-01T19:44:19","date_gmt":"2026-07-01T19:44:19","guid":{"rendered":"https:\/\/itbd.net\/live\/?page_id=14361"},"modified":"2026-07-01T20:05:20","modified_gmt":"2026-07-01T20:05:20","slug":"garbage-in-garbage-out-why-your-ai-is-only-as-good-as-what-youve-documented","status":"publish","type":"page","link":"https:\/\/itbd.net\/live\/garbage-in-garbage-out-why-your-ai-is-only-as-good-as-what-youve-documented\/","title":{"rendered":"Garbage In, Garbage Out: Why your AI Is only as good as what you&#8217;ve documented"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"14361\" class=\"elementor elementor-14361\" data-elementor-post-type=\"page\">\n\t\t\t\t<div class=\"elementor-element elementor-element-d43ff32 e-flex e-con-boxed e-con e-parent\" data-id=\"d43ff32\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;ekit_has_onepagescroll_dot&quot;:&quot;yes&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-30e8436 e-con-full fin-frame padding-reset panel-dark e-flex e-con e-child\" data-id=\"30e8436\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;ekit_has_onepagescroll_dot&quot;:&quot;yes&quot;}\">\n\t\t<div class=\"elementor-element elementor-element-0662cd7 e-con-full e-flex e-con e-child\" data-id=\"0662cd7\" data-element_type=\"container\" data-settings=\"{&quot;ekit_has_onepagescroll_dot&quot;:&quot;yes&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-cfa2a99 elementor-widget elementor-widget-heading\" data-id=\"cfa2a99\" data-element_type=\"widget\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Garbage In, Garbage Out: Why your AI Is only as good as what you've documented<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d039a43 elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"d039a43\" data-element_type=\"widget\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Most MSPs have tried AI. Most of those attempts quietly got abandoned. The problem is rarely the tool &#8211; it&#8217;s what the tool is running on. Unstructured knowledge, inconsistent documentation, and information locked in a senior tech&#8217;s head doesn&#8217;t get fixed by AI. It gets amplified. This session covers how to build AI workflows that actually hold up: starting with the knowledge foundation, building reusable skills on top of it, writing outputs back to a documentation system so they stay accurate, and measuring whether any of it is working. The worked example is a real workflow built and running in production &#8211; and yes, we build documentation software, so we have a bias. We&#8217;ll name it upfront and show you the thinking, not the tool. You&#8217;ll leave with a framework for sequencing AI adoption so it compounds over time instead of quietly dying.<\/p>\n\n<p><strong>Learning Objectives:<\/strong><\/p>\n\n<ul>\n    <li>Recognize the specific ways AI amplifies documentation gaps &#8211; and how to spot them in your own operation<\/li>\n    <li>Build AI skills that are scoped tight, maintainable, and grounded in a structured source of truth<\/li>\n    <li>Write AI outputs back to a documentation system so knowledge compounds instead of drifting<\/li>\n    <li>Design a simple measurement loop so &#8220;is this working?&#8221; becomes a verdict based on data, not a feeling<\/li>\n<\/ul>\n\n<p><strong>Speaker Outline:<\/strong><\/p>\n\n<ol>\n    <li>The real failure mode: confident AI running on bad data, and why MSPs are uniquely exposed<\/li>\n    <li>Documentation first, automation second: the sequencing most people get backwards<\/li>\n    <li>Building skills that hold up: what to demand from whoever builds them &#8211; scope, source of truth, and handoff<\/li>\n    <li>Write it back: why AI outputs that don&#8217;t return to a source of truth disappear<\/li>\n    <li>The measurement loop: dated baselines and decision logs so results are verdicts, not vibes<\/li>\n    <li>Q&amp;A<\/li>\n<\/ol>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-4c58fb8 e-flex e-con-boxed e-con e-child\" data-id=\"4c58fb8\" data-element_type=\"container\" data-settings=\"{&quot;ekit_has_onepagescroll_dot&quot;:&quot;yes&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-e598ccc whitre elementor-widget elementor-widget-shortcode\" data-id=\"e598ccc\" data-element_type=\"widget\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"shortcode.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-shortcode\"><div class='rt-container-fluid rt-team-container rt-pos-r rt-team-container-14352' id='rt-team-container-500739911'  data-layout='layout3' data-desktop-col='2'  data-tab-col='1'  data-mobile-col='1' data-sc-id='14352' data-popup-bg=''><div data-title='Loading ...' class='rt-row rt-content-loader layout3 ttp-even ttp-pre-loader'><div class=\"rt-col-md-6 rt-col-sm-12 rt-col-xs-12  even-grid-item rt-grid-item\" data-id=\"14288\"><div class=\"single-team-area\"><figure><a class=\"\" data-id=\"14288\" target=\"_self\" href=\"https:\/\/itbd.net\/live\/team\/jacob-hart\/\"><img fetchpriority=\"high\" decoding=\"async\" width=\"400\" height=\"400\" src=\"https:\/\/itbd.net\/live\/wp-content\/uploads\/2026\/06\/Jacon-Hart.webp\" class=\"img-responsive rt-team-img\" alt=\"Jacob Hart\" \/><\/a><\/figure><div class=\"tlp-content\"><h3><span class=\"team-name\"><a class=\"\" data-id=\"14288\" target=\"_self\" title=\"Jacob Hart\" href=\"https:\/\/itbd.net\/live\/team\/jacob-hart\/\">Jacob Hart<\/a><\/span><\/h3><\/div><\/div><\/div><div class=\"rt-col-md-6 rt-col-sm-12 rt-col-xs-12  even-grid-item rt-grid-item\" data-id=\"14322\"><div class=\"single-team-area\"><figure><a class=\"\" data-id=\"14322\" target=\"_self\" href=\"https:\/\/itbd.net\/live\/team\/jordan-hart\/\"><img decoding=\"async\" width=\"400\" height=\"400\" src=\"https:\/\/itbd.net\/live\/wp-content\/uploads\/2026\/07\/Jordan-Hart-web.webp\" class=\"img-responsive rt-team-img\" alt=\"Jordan Hart\" \/><\/a><\/figure><div class=\"tlp-content\"><h3><span class=\"team-name\"><a class=\"\" data-id=\"14322\" target=\"_self\" title=\"Jordan Hart\" href=\"https:\/\/itbd.net\/live\/team\/jordan-hart\/\">Jordan Hart<\/a><\/span><\/h3><\/div><\/div><\/div><div class=\"rt-loading-overlay\"><\/div><div class=\"rt-loading rt-ball-clip-rotate\"><div><\/div><\/div><\/div><\/div><\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9b55d04 elementor-widget elementor-widget-html\" data-id=\"9b55d04\" data-element_type=\"widget\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"corner-bl\"><\/div>\n<div class=\"corner-br\"><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Garbage In, Garbage Out: Why your AI Is only as good as what you&#8217;ve documented Most MSPs have tried AI. Most of those attempts quietly got abandoned. The problem is rarely the tool &#8211; it&#8217;s what the tool is running on. Unstructured knowledge, inconsistent documentation, and information locked in a senior tech&#8217;s head doesn&#8217;t get [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":10183,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"elementor_header_footer","meta":{"footnotes":""},"class_list":["post-14361","page","type-page","status-publish","has-post-thumbnail","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.1 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Garbage In, Garbage Out: Why your AI Is only as good as what you&#039;ve documented<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/itbd.net\/live\/garbage-in-garbage-out-why-your-ai-is-only-as-good-as-what-youve-documented\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Garbage In, Garbage Out: Why your AI Is only as good as what you&#039;ve documented\" \/>\n<meta property=\"og:description\" content=\"Garbage In, Garbage Out: Why your AI Is only as good as what you&#8217;ve documented Most MSPs have tried AI. 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