{"id":4770,"date":"2026-08-10T09:24:42","date_gmt":"2026-08-10T09:24:42","guid":{"rendered":"https:\/\/www.200oksolutions.com\/blog\/?p=4770"},"modified":"2026-08-10T10:20:22","modified_gmt":"2026-08-10T10:20:22","slug":"ai-readiness-assessment-framework-2026","status":"publish","type":"post","link":"https:\/\/www.200oksolutions.com\/blog\/ai-readiness-assessment-framework-2026\/","title":{"rendered":"AI Readiness Assessment: A Practical Framework for Businesses in 2026\u00a0"},"content":{"rendered":"\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe title=\"AI Readiness Assessment: A Practical Framework for Businesses in 2026\u00a0- 200OK SOLUTIONS\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/F-aKk00zLNk?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">Most businesses no longer need&nbsp;convincing&nbsp;that AI matters. They need to know whether their&nbsp;organisation&nbsp;can actually run it.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">By 2026, the conversation has shifted from &#8220;should we use AI?&#8221; to &#8220;why hasn&#8217;t this scaled?&#8221; The answer is rarely the AI model&nbsp;itself,&nbsp;it&#8217;s&nbsp;almost always&nbsp;the environment around it: the data it can access, the systems it connects to, the governance controlling it, and the people&nbsp;operating&nbsp;it.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This is the gap an&nbsp;<strong>AI readiness assessment<\/strong>&nbsp;is built to close. Instead of starting with a use case and hoping the technology stack keeps up, a proper&nbsp;<strong>AI readiness framework<\/strong>&nbsp;starts with an honest audit of strategy, data, infrastructure, security, people, and process, before serious investment is committed.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>What Is an AI Readiness Assessment?<\/strong>&nbsp;<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">An&nbsp;<strong>AI readiness assessment<\/strong>&nbsp;is a structured evaluation of whether an&nbsp;organisation&nbsp;has the strategy, data, infrastructure, governance, security, people, and processes required to adopt and scale AI successfully. It combines a technology audit with a strategic review, because AI adoption fails for both reasons: unclear objectives and ownership, and weak data or infrastructure foundations.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A good assessment produces three outputs: a clear readiness picture, a&nbsp;prioritised&nbsp;list of gaps, and a sequenced roadmap from experimentation to production.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Why Businesses Need an AI Readiness Assessment Before Adopting AI<\/strong>&nbsp;<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Skipping this step is the most common reason&nbsp;<strong>enterprise AI adoption<\/strong>&nbsp;stalls after the pilot stage:&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Avoids expensive failed&nbsp;initiatives<\/strong>&nbsp;:&nbsp;discovering data or integration problems after a six-month build costs far more than discovering them upfront&nbsp;<\/li>\n\n\n\n<li><strong>Identifies&nbsp;infrastructure&nbsp;gaps<\/strong>&nbsp;:&nbsp;legacy systems and limited APIs often only surface once AI tries to connect to real data&nbsp;<\/li>\n\n\n\n<li><strong>Improves data quality&nbsp;proactively<\/strong>&nbsp;:&nbsp;most AI use cases depend on&nbsp;accurate, accessible, governed data&nbsp;<\/li>\n\n\n\n<li><strong>Surfaces security and compliance&nbsp;needs<\/strong>&nbsp;:&nbsp;access controls and audit trails should be designed in, not retrofitted&nbsp;<\/li>\n\n\n\n<li><strong>Forces realistic use-case&nbsp;prioritisation<\/strong>&nbsp;: separating high-value,&nbsp;feasible&nbsp;ideas from ones that just sound compelling&nbsp;<\/li>\n\n\n\n<li><strong>Clarifies capability&nbsp;gaps<\/strong>&nbsp;:&nbsp;whether internal teams can build and run AI, or where external&nbsp;expertise&nbsp;is needed&nbsp;<\/li>\n\n\n\n<li><strong>Supports&nbsp;accurate&nbsp;cost&nbsp;estimation<\/strong>&nbsp;:&nbsp;giving sponsors a realistic view of effort before budget is committed, and a defensible basis for the wider&nbsp;<strong>AI adoption strategy<\/strong>&nbsp;<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>The 8 Key Dimensions of AI Readiness<\/strong>&nbsp;<\/h2>\n\n\n\n<figure class=\"wp-block-image size-large\"><img fetchpriority=\"high\" decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/www.200oksolutions.com\/blog\/wp-content\/uploads\/2026\/08\/Blogs_Cretive_02-2-2-1024x576.png\" alt=\"8 key dimensions of AI readiness infographic covering AI strategy, data, technology infrastructure, AI use cases, security and compliance, people and skills, processes, and integration architecture.\" class=\"wp-image-4771\" srcset=\"https:\/\/www.200oksolutions.com\/blog\/wp-content\/uploads\/2026\/08\/Blogs_Cretive_02-2-2-1024x576.png 1024w, https:\/\/www.200oksolutions.com\/blog\/wp-content\/uploads\/2026\/08\/Blogs_Cretive_02-2-2-300x169.png 300w, https:\/\/www.200oksolutions.com\/blog\/wp-content\/uploads\/2026\/08\/Blogs_Cretive_02-2-2-768x432.png 768w, https:\/\/www.200oksolutions.com\/blog\/wp-content\/uploads\/2026\/08\/Blogs_Cretive_02-2-2-1536x864.png 1536w, https:\/\/www.200oksolutions.com\/blog\/wp-content\/uploads\/2026\/08\/Blogs_Cretive_02-2-2.png 1920w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">These dimensions form a dependency chain, not independent checkboxes:&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>AI Strategy \u2192 Data + Technology \u2192 Security + Governance&nbsp;\u2192 People  + Processes \u2192 Integration \u2192 AI Use Cases \u2192 Pilot \u2192 Scale&nbsp;<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Organisations&nbsp;that skip steps,&nbsp;launching use cases before governance exists, or scaling before integration is proven,&nbsp;end up rebuilding what should have been assessed the first time.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>AI Readiness Assessment Checklist<\/strong>&nbsp;<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Use this&nbsp;<strong>AI readiness checklist<\/strong>&nbsp;as a working internal tool for a first-pass&nbsp;<strong>AI readiness&nbsp;evaluation,<\/strong>&nbsp;it&#8217;s&nbsp;designed for a CTO, CIO, or technology leader to complete directly.&nbsp;<\/p>\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td style=\"width:20%;\"><strong>Assessment Area<\/strong>&nbsp;<\/td><td><strong>What to Check<\/strong>&nbsp;<\/td><td style=\"width:15%;\"><strong>Ready<\/strong>&nbsp;<\/td><td style=\"width:20%;\"><strong>Needs Improvement<\/strong>&nbsp;<\/td><\/tr><tr><td>Strategy&nbsp;<\/td><td>Documented business case and accountable sponsor?&nbsp;<\/td><td>&nbsp;<\/td><td>&nbsp;<\/td><\/tr><tr><td>Strategy&nbsp;<\/td><td>Use cases&nbsp;prioritised&nbsp;against business&nbsp; objectives?&nbsp;<\/td><td>&nbsp;<\/td><td>&nbsp;<\/td><\/tr><tr><td>Data&nbsp;<\/td><td>Is core data&nbsp;accurate&nbsp;and consistently&nbsp; maintained?&nbsp;<\/td><td>&nbsp;<\/td><td>&nbsp;<\/td><\/tr><tr><td>Data&nbsp;<\/td><td>Is there a defined data governance and ownership model?&nbsp;<\/td><td>&nbsp;<\/td><td>&nbsp;<\/td><\/tr><tr><td>Technology&nbsp;<\/td><td>Can core systems be accessed via API?&nbsp;<\/td><td>&nbsp;<\/td><td>&nbsp;<\/td><\/tr><tr><td>Technology&nbsp;<\/td><td>Are legacy constraints mapped?&nbsp;<\/td><td>&nbsp;<\/td><td>&nbsp;<\/td><\/tr><tr><td>Use Cases&nbsp;<\/td><td>Have candidates been scored for value and feasibility?&nbsp;<\/td><td>&nbsp;<\/td><td>&nbsp;<\/td><\/tr><tr><td>Security&nbsp;<\/td><td>Are access controls and an AI governance policy defined?&nbsp;<\/td><td>&nbsp;<\/td><td>&nbsp;<\/td><\/tr><tr><td>Security&nbsp;<\/td><td>Have third-party AI vendors been assessed?&nbsp;<\/td><td>&nbsp;<\/td><td>&nbsp;<\/td><\/tr><tr><td>People&nbsp;<\/td><td>Does the team have AI\/ML engineering capability?&nbsp;<\/td><td>&nbsp;<\/td><td>&nbsp;<\/td><\/tr><tr><td>Processes&nbsp;<\/td><td>Is human-in-the-loop review defined for high-risk outputs?&nbsp;<\/td><td>&nbsp;<\/td><td>&nbsp;<\/td><\/tr><tr><td>Integration&nbsp;<\/td><td>Can priority use cases connect to CRM\/ERP\/core systems?&nbsp;<\/td><td>&nbsp;<\/td><td>&nbsp;<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n<h2 class=\"wp-block-heading\"><strong>How to Score Your AI Readiness<\/strong>&nbsp;<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Score each of the eight dimensions from 1 (Not Ready) to 5 (AI-Ready), then average them, this stops one strong dimension masking a weak one. The result is a repeatable&nbsp;<strong>AI readiness evaluation<\/strong>&nbsp;you can track over time, not a one-off number.&nbsp;<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td><strong>Average Score<\/strong>&nbsp;<\/td><td><strong>Stage<\/strong>&nbsp;<\/td><\/tr><tr><td>1.0 \u2013 2.0&nbsp;<\/td><td>AI Foundation Stage,&nbsp;fix fundamentals before any deployment&nbsp;<\/td><\/tr><tr><td>2.1 \u2013 3.0&nbsp;<\/td><td>AI Developing Stage,&nbsp;building blocks exist but need strengthening&nbsp;<\/td><\/tr><tr><td>3.1 \u2013 4.0&nbsp;<\/td><td>AI Ready Stage,&nbsp;ready for well-scoped pilots&nbsp;<\/td><\/tr><tr><td>4.1 \u2013 5.0&nbsp;<\/td><td>AI Scaling Stage,&nbsp;ready to move proven pilots into production&nbsp;<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Common AI Readiness Gaps<\/strong>&nbsp;<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">These are the gaps most often found during&nbsp;<strong>enterprise AI readiness<\/strong>&nbsp;reviews: poor data quality, legacy applications with no API layer, disconnected CRM\/ERP\/finance systems, weak or absent governance, uncertainty about third-party AI data handling, unclear post-launch ownership, too many disconnected pilots, no measurable business case, and infrastructure that can&#8217;t scale past a proof of concept.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>AI Readiness vs AI Maturity Assessment<\/strong>&nbsp;<\/h2>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td>&nbsp;<\/td><td><strong>AI Readiness Assessment<\/strong>&nbsp;<\/td><td><strong>AI Maturity Assessment<\/strong>&nbsp;<\/td><\/tr><tr><td>Purpose&nbsp;<\/td><td>Is the&nbsp;organisation&nbsp;prepared to start?&nbsp;<\/td><td>How advanced is existing AI capability?&nbsp;<\/td><\/tr><tr><td>Timing&nbsp;<\/td><td>Before or at the start of adoption&nbsp;<\/td><td>After initiatives are already live&nbsp;<\/td><\/tr><tr><td>Output&nbsp;<\/td><td>Gap list and roadmap&nbsp;<\/td><td>Benchmark against an&nbsp;<strong>AI maturity model<\/strong>&nbsp;<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>What Happens After the Assessment?<\/strong>&nbsp;<\/h2>\n\n\n\n<ol start=\"1\" class=\"wp-block-list\">\n<li>Identify&nbsp;and&nbsp;consolidate&nbsp;gaps<\/li>\n\n\n\n<li>Prioritise&nbsp;use cases by value and complexity<\/li>\n\n\n\n<li>Build a sequenced roadmap<\/li>\n\n\n\n<li>Close data and infrastructure gaps<\/li>\n\n\n\n<li>Put security and governance in place<\/li>\n\n\n\n<li>Run a controlled pilot<\/li>\n\n\n\n<li>Measure impact against defined ROI metrics<\/li>\n\n\n\n<li>Scale what works&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<\/li>\n<\/ol>\n\n\n\n<p class=\"wp-block-paragraph\">Together, these eight steps form the backbone of a realistic&nbsp;<strong>AI adoption strategy,<\/strong> sequenced by dependency, not enthusiasm.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>A Quick Example<\/strong>&nbsp;<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">A mid-sized financial services firm (800 staff, 12-year-old core policy system) scored 2.75 overall,&nbsp;AI Developing Stage. Data was split across three disconnected systems, the core system had no API layer, and there was no internal AI engineering capability. Priority use case: an AI agent handling first-line policy and claims queries. Before deployment, the firm&nbsp;consolidated&nbsp;customer data, built an API layer over the legacy system, and defined a governance policy,&nbsp;then ran an 8-week pilot&nbsp;measured on resolution time and escalation rate.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Is Your Business Ready for AI?<\/strong>&nbsp;<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">These seven questions are a fast way of&nbsp;<strong>preparing a business for AI<\/strong>&nbsp;investment decisions before commissioning a full assessment:&nbsp;<\/p>\n\n\n\n<ol start=\"1\" class=\"wp-block-list\">\n<li>Can you name the specific metric your first AI use case should move?<\/li>\n\n\n\n<li>Is the required data&nbsp;accurate, accessible, and owned by someone?<\/li>\n\n\n\n<li>Can core systems be accessed programmatically?<\/li>\n\n\n\n<li>Is there a policy for AI access to sensitive data?<\/li>\n\n\n\n<li>Does anyone own AI systems once&nbsp;they&#8217;re&nbsp;live?<\/li>\n\n\n\n<li>Have use cases been scored against consistent criteria?<\/li>\n\n\n\n<li>Could a successful pilot&nbsp;actually scale, or would it need rebuilding?&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<\/li>\n<\/ol>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Mostly yes<\/strong>&nbsp;\u2192 start a well-scoped pilot.&nbsp;<strong>Mixed, especially on data\/integration<\/strong>&nbsp;\u2192 fix foundations first.&nbsp;<strong>Mostly&nbsp;no<\/strong>&nbsp;\u2192&nbsp;run a full readiness assessment before further investment.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>How 200OK Solutions Can Help<\/strong>&nbsp;<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/www.200oksolutions.com\/\" target=\"_blank\" rel=\"noreferrer noopener\">200OK Solutions<\/a> works with technology and business leaders to close the gap between AI ambition and AI-ready infrastructure, assessing&nbsp;<strong>business AI readiness<\/strong> across the eight dimensions above before recommending an implementation path. Relevant capability includes AI automation and AI agents, enterprise integrations across CRM, ERP, DMS, HR and finance systems, cloud architecture and platform engineering, application and data&nbsp;modernisation, Microsoft Power Platform, and AWS, Azure and Google Cloud implementation,&nbsp;the practical building blocks of a working&nbsp;<strong>AI transformation strategy<\/strong>.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Before investing heavily in AI, assess whether your technology, data,&nbsp;infrastructure&nbsp;and operating model are ready to support it.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>FAQ<\/strong>&nbsp;<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Q.&nbsp;What is an AI readiness assessment?<\/strong>&nbsp;&nbsp;<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">A.&nbsp;A structured evaluation of whether an&nbsp;organisation&nbsp;has the strategy, data, infrastructure, governance, security, people, and processes needed to adopt and scale AI successfully.&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Q.&nbsp;Why is it important?&nbsp;&nbsp;<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">A.&nbsp;It&nbsp;identifies&nbsp;gaps before&nbsp;significant&nbsp;budget is committed, reducing the risk of failed or unscalable AI projects.&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Q.&nbsp;What does it include?&nbsp;&nbsp;<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">A.&nbsp;Strategy alignment, data readiness, infrastructure, use-case evaluation, security and compliance, people and skills, process design, and integration.&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Q.&nbsp;How do you measure AI readiness?&nbsp;&nbsp;<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">A.&nbsp;By scoring each dimension 1\u20135 and averaging to place the&nbsp;organisation&nbsp;into a maturity stage.&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Q.&nbsp;What&#8217;s the difference between readiness and maturity?&nbsp;&nbsp;<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">A,&nbsp;Readiness assesses whether&nbsp;you&#8217;re&nbsp;prepared to start; maturity measures how advanced existing AI capability&nbsp;already is.&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Q.&nbsp;How long does an assessment take?<\/strong>&nbsp;&nbsp;<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">A.&nbsp;Typically two to six weeks for a mid-sized&nbsp;organisation, depending on scope.&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Q.&nbsp;How can a company prepare for AI adoption?<\/strong>&nbsp;&nbsp;<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">A.&nbsp;Audit data quality and accessibility, map integration capability, define governance, and pick a small number of high-value,&nbsp;feasible&nbsp;use cases.&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Q.&nbsp;What are the biggest adoption barriers?<\/strong>&nbsp;&nbsp;<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">A.&nbsp;Poor data quality, disconnected legacy systems, unclear governance and ownership, limited internal skills, and no measurable business case.&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Q.&nbsp;How often should readiness be reassessed?&nbsp;&nbsp;<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">A.&nbsp;At least annually, or after major system changes, new&nbsp;regulation, or significant new use cases.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">You may also like : <a href=\"https:\/\/www.200oksolutions.com\/blog\/ai-in-healthcare-the-2026-guide-for-health-it-leaders\/\" target=\"_blank\" rel=\"noreferrer noopener\">AI in Healthcare : The 2026 Guide for Health IT Leaders<\/a><\/p>\n\n\n<div class=\"is-default-size wp-block-site-logo\"><a href=\"https:\/\/www.200oksolutions.com\/blog\/\" class=\"custom-logo-link light-mode-logo\" rel=\"home\"><img decoding=\"async\" width=\"484\" height=\"191\" src=\"https:\/\/www.200oksolutions.com\/blog\/wp-content\/uploads\/2026\/01\/cropped-200ok_logo.png\" class=\"custom-logo\" alt=\"200OK Solutions Blog\" srcset=\"https:\/\/www.200oksolutions.com\/blog\/wp-content\/uploads\/2026\/01\/cropped-200ok_logo.png 484w, https:\/\/www.200oksolutions.com\/blog\/wp-content\/uploads\/2026\/01\/cropped-200ok_logo-300x118.png 300w\" sizes=\"(max-width: 484px) 100vw, 484px\" \/><\/a><\/div>","protected":false},"excerpt":{"rendered":"<p>Most businesses no longer need&nbsp;convincing&nbsp;that AI matters. They need to know whether their&nbsp;organisation&nbsp;can actually run&hellip;<\/p>\n","protected":false},"author":5,"featured_media":4773,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1813],"tags":[1512,2078,2077,1509,1514,2219,2216,2217,1627,1160,2218,273,1852],"class_list":["post-4770","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-intelligent-business-transformation","tag-ai-adoption","tag-ai-agents","tag-ai-automation","tag-ai-governance","tag-ai-infrastructure","tag-ai-maturity","tag-ai-readiness-assessment","tag-ai-strategy","tag-ai-transformation","tag-artificial-intelligence-2","tag-data-readiness","tag-digital-transformation","tag-enterprise-ai"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v24.4 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>AI Readiness Assessment: A Practical Framework for Businesses in 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