{"id":24614,"date":"2026-09-22T20:06:12","date_gmt":"2026-09-22T18:06:12","guid":{"rendered":"https:\/\/netsurit.com\/en-za\/?p=24614"},"modified":"2026-09-22T20:41:26","modified_gmt":"2026-09-22T18:41:26","slug":"ai-maturity-model-stage","status":"publish","type":"post","link":"https:\/\/netsurit.com\/en-za\/ai-maturity-model-stage\/","title":{"rendered":"The AI Maturity Model: Why Firms Stall at Workflow AI"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"24614\" class=\"elementor elementor-24614\" data-elementor-post-type=\"post\">\n\t\t\t\t<div class=\"elementor-element elementor-element-ff44f1d e-flex e-con-boxed e-con e-parent\" data-id=\"ff44f1d\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-c642d69 elementor-widget elementor-widget-html\" data-id=\"c642d69\" 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\n\n<article class=\"netsurit-maturity-article\">\n  <div class=\"ns-article-shell\">\n    <header>\n      <div class=\"ns-byline\">\n        <span>By <strong>Dr Jan van Niekerk<\/strong>, SVP Data &amp; AI Strategy, Netsurit<\/span>\n        <time datetime=\"2026-09-20\">20 September 2026<\/time>\n      <\/div>\n\n      <p class=\"ns-lead\">Most organisations overestimate their AI maturity. They call themselves Stage 3 or 4 while missing the actual markers of Stage 3: a measured baseline, a named owner and cross-functional ownership. This four-stage AI maturity model shows why progress typically stalls at Stage 2, and what it actually takes to move past it.<\/p>\n    <\/header>\n\n    <blockquote>\n      <p>\u201cWe are at Stage 3, maybe 4.\u201d<\/p>\n    <\/blockquote>\n\n    <p>The executive said it without hesitation, and the room nodded.<\/p>\n\n    <p>Three questions later, I established that no workflow in the business had a measured baseline, no AI initiative had a named owner, and the strategy's centrepiece was an enterprise licence agreement.<\/p>\n\n    <p><strong>That is not Stage 3. That is Stage 1 with good procurement.<\/strong><\/p>\n\n    <p>The gap between where leaders believe they are and where their organisation operates is the most consistent thing I have seen across four continents, South Africa included. This article walks the road properly: the four stages, the honest markers and the stall that consumes most journeys.<\/p>\n\n    <h2>The four stages, with markers<\/h2>\n\n    <div class=\"ns-stage-grid\">\n      <section class=\"ns-stage-card\" data-stage=\"1\">\n        <span class=\"ns-stage-label\">Stage 1<\/span>\n        <h3>Personal AI<\/h3>\n        <p>Individuals augment their own work. It is valuable but largely invisible to the organisation.<\/p>\n        <p class=\"ns-stage-marker\"><strong>Marker:<\/strong> Productivity anecdotes with no shared assets.<\/p>\n      <\/section>\n\n      <section class=\"ns-stage-card\" data-stage=\"2\">\n        <span class=\"ns-stage-label\">Stage 2<\/span>\n        <h3>Workflow AI<\/h3>\n        <p>A team redesigns one workflow around what the machine can hold, with fewer steps than before.<\/p>\n        <p class=\"ns-stage-marker\"><strong>Marker:<\/strong> One baseline, one named owner and measurable before-and-after performance.<\/p>\n      <\/section>\n\n      <section class=\"ns-stage-card\" data-stage=\"3\">\n        <span class=\"ns-stage-label\">Stage 3<\/span>\n        <h3>Process AI<\/h3>\n        <p>An entire process is rebuilt across team boundaries and becomes visible in the P&amp;L.<\/p>\n        <p class=\"ns-stage-marker\"><strong>Marker:<\/strong> Cross-functional ownership, kill dates and measurable financial value.<\/p>\n      <\/section>\n\n      <section class=\"ns-stage-card\" data-stage=\"4\">\n        <span class=\"ns-stage-label\">Stage 4<\/span>\n        <h3>AI-Native<\/h3>\n        <p>The operating model itself assumes AI. Budgets, roles, controls and planning cycles are designed AI-first.<\/p>\n        <p class=\"ns-stage-marker\"><strong>Marker:<\/strong> AI is structural and visible in the organisation chart and budget architecture.<\/p>\n      <\/section>\n    <\/div>\n\n    <h3>Stage 1: Personal AI<\/h3>\n\n    <p>Personal AI is individuals augmenting their own work. The marker is productivity anecdotes and no shared assets. Valuable, invisible, and where roughly 90% of workers already are with personal tools, according to <a href=\"https:\/\/nanda.media.mit.edu\/ai_report_2025.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">MIT's 2025 research<\/a>, whatever the official adoption numbers say. The real value starts with <a href=\"https:\/\/netsurit.com\/en-za\/ai-productivity-roi-beyond-personal-productivity\/\">moving beyond personal AI productivity<\/a> into something the organisation can actually see.<\/p>\n\n    <h3>Stage 2: Workflow AI<\/h3>\n\n    <p>Workflow AI is a team redesigning a single workflow around what the machine can hold. The marker is one process with a before-and-after baseline, a named owner and fewer steps than it had before. Not the same steps plus a copilot. Fewer. This is also the stage where most firms first try to <a href=\"https:\/\/netsurit.com\/en-za\/how-can-you-adopt-ai-in-business-without-disrupting-operations\/\">adopt AI without disrupting operations<\/a>, and where most of those attempts quietly stall.<\/p>\n\n    <h3>Stage 3: Process AI<\/h3>\n\n    <p>Process AI is end-to-end: a whole process rebuilt, crossing team boundaries and visible in the P&amp;L. The markers are cross-functional ownership, kill dates as standard practice, and finance being able to point at the line where the value lands.<\/p>\n\n    <h3>Stage 4: AI-Native<\/h3>\n\n    <p>AI-Native is the stage everyone claims, and almost nobody occupies. The operating model itself assumes AI. Budgets, roles, controls and planning cycles are designed AI-first. The marker is structural; you see it in the organisation chart and the budget architecture, not the tooling.<\/p>\n\n    <h2>Why the money is where it is<\/h2>\n\n    <p>Value concentrates at depth on the AI maturity model. <a href=\"https:\/\/media-publications.bcg.com\/The-Widening-AI-Value-Gap-Sept-2025.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">BCG's 2025 research<\/a> puts the deep group at roughly 1.7 times the revenue growth of peers. <a href=\"https:\/\/www.mckinsey.com\/capabilities\/quantumblack\/our-insights\/the-state-of-ai\" target=\"_blank\" rel=\"noopener noreferrer\">McKinsey's enterprise AI adoption survey<\/a> finds only 6% of firms attributing more than 5% of EBIT, or earnings before interest and taxes, to AI. Stage 1 produces enthusiasm. Stages 3 and 4 produce financial statements.<\/p>\n\n    <section class=\"ns-stall-panel\">\n      <h2>The stall at Stage 2<\/h2>\n\n      <p>Most organisations I meet, locally and abroad, live between Stages 1 and 2, and the climb they keep failing is from 2 to 3. The reasons are structural, not technical.<\/p>\n\n      <p>Crossing to Process AI means crossing team boundaries, and boundaries are where incentives collide. The workflow owner is a manager; the process owner is a politician. Data architecture starts to matter brutally at this stage. Processes run on data that workflows could work around unnoticed. Governance debt, ignorable at Stage 2, compounds. More automation creates more decisions, often without any added accountability structure.<\/p>\n\n      <p>There is also a quieter reason. Stage 2 feels like success. There are wins to present and dashboards to show. The organisation settles into a comfortable plateau of pilots and copilots, and calls it \u201ctransformation\u201d.<\/p>\n    <\/section>\n\n    <h2>What carries the climb<\/h2>\n\n    <p>Four supports help organisations move forward, and none of them is another tool.<\/p>\n\n    <div class=\"ns-support-grid\">\n      <section class=\"ns-support-item\">\n        <span class=\"ns-support-number\">1<\/span>\n        <h3>Secure platform<\/h3>\n        <p>Give shadow AI usage somewhere sanctioned, governed and measurable to live.<\/p>\n      <\/section>\n\n      <section class=\"ns-support-item\">\n        <span class=\"ns-support-number\">2<\/span>\n        <h3>Leadership coaching<\/h3>\n        <p>Build better instincts for leaders making capital decisions about unfamiliar technology.<\/p>\n      <\/section>\n\n      <section class=\"ns-support-item\">\n        <span class=\"ns-support-number\">3<\/span>\n        <h3>Practical training<\/h3>\n        <p>Build fluency where the work happens, rather than awareness in a town hall.<\/p>\n      <\/section>\n\n      <section class=\"ns-support-item\">\n        <span class=\"ns-support-number\">4<\/span>\n        <h3>Build capability<\/h3>\n        <p>Stage 3 always requires some assembly. Buying technology alone only gets you to Stage 2.<\/p>\n      <\/section>\n    <\/div>\n\n    <h2>The honest caveats<\/h2>\n\n    <p>You cannot skip rungs; every skipped stage shows up later as rework. Speed on the rungs varies enormously, and small firms climb faster than their maturity assessments suggest.<\/p>\n\n    <p>Not every function needs Stage 4. AI-Native finance and Stage 2 legal can be the right answer in the same company. Uniform maturity is a consultant's tidy diagram, not an operating goal.<\/p>\n\n    <h2>Frequently asked questions<\/h2>\n\n    <div class=\"ns-faq-list\">\n      <details>\n        <summary>What is an AI maturity model?<\/summary>\n        <p>It is a four-stage framework, Personal AI, Workflow AI, Process AI and AI-Native, that places an organisation using concrete markers instead of tooling or enthusiasm.<\/p>\n      <\/details>\n\n      <details>\n        <summary>What are the four stages of AI maturity?<\/summary>\n        <p>Stage 1 is Personal AI, where individuals augment their own work without shared assets. Stage 2 is Workflow AI, where one workflow has a named owner and measured baseline. Stage 3 is Process AI, where an entire process is rebuilt across team boundaries and is visible in the P&amp;L. Stage 4 is AI-Native, where the operating model is designed AI-first from the budget upwards.<\/p>\n      <\/details>\n\n      <details>\n        <summary>Why do most organisations stall at Workflow AI?<\/summary>\n        <p>Crossing into Process AI means crossing team boundaries, where incentives collide and data architecture starts to matter. Workflow AI also feels like success, with dashboards to show, so organisations settle into a plateau of pilots and copilots and call it transformation.<\/p>\n      <\/details>\n\n      <details>\n        <summary>How do you know if you are really at Process AI?<\/summary>\n        <p>Ask three questions. Does any workflow have a measured baseline? Does any AI initiative have a named owner and a kill date? Would your processes survive a tool swap? Honest answers place an organisation more accurately than any AI maturity assessment.<\/p>\n      <\/details>\n\n      <details>\n        <summary>Does every business function need to reach AI-Native?<\/summary>\n        <p>No. AI-Native finance and Stage 2 legal can be the right answer in the same company. Uniform maturity across an organisation is not the goal.<\/p>\n      <\/details>\n\n      <details>\n        <summary>What helps organisations climb past Workflow AI?<\/summary>\n        <p>Four things: a secure platform so shadow AI usage has somewhere sanctioned to live, coaching for leaders making capital decisions, hands-on training where the work happens, and deliberately built internal capability. None of them is another tool.<\/p>\n      <\/details>\n    <\/div>\n\n    <section class=\"ns-challenge\">\n      <h2>One challenge for your morning<\/h2>\n      <p>Run these three questions on your organisation. Does one workflow have a measured baseline? Is there a named owner and kill date anywhere? Would your processes survive a tool swap?<\/p>\n      <p>Your answers place you on the road more accurately than any AI maturity assessment, and it is free. Then pick one workflow and start the climb where you actually stand.<\/p>\n    <\/section>\n\n    <aside class=\"ns-cta\" aria-label=\"Book a free automation assessment\">\n      <h2>Find out where your organisation really stands<\/h2>\n      <p>Work with Netsurit's AI and process automation team to assess your current workflows, establish measurable baselines and identify the most practical route to business value.<\/p>\n      <a class=\"ns-button\" href=\"https:\/\/netsurit.com\/en-za\/netsurit-innovate\/\">Book a free automation assessment<\/a>\n    <\/aside>\n\n    <section class=\"ns-share\" aria-labelledby=\"ns-share-heading\">\n      <span class=\"ns-share-title\" id=\"ns-share-heading\">Share this insight<\/span>\n      <div class=\"ns-share-links\">\n        <a class=\"ns-share-link\" href=\"https:\/\/www.linkedin.com\/sharing\/share-offsite\/?url=https%3A%2F%2Fnetsurit.com%2Fen-za%2Fai-maturity-model-stage%2F\" target=\"_blank\" rel=\"noopener noreferrer\" aria-label=\"Share this article on LinkedIn\">LinkedIn<\/a>\n        <a class=\"ns-share-link\" href=\"https:\/\/www.facebook.com\/sharer\/sharer.php?u=https%3A%2F%2Fnetsurit.com%2Fen-za%2Fai-maturity-model-stage%2F\" target=\"_blank\" rel=\"noopener noreferrer\" aria-label=\"Share this article on Facebook\">Facebook<\/a>\n        <a class=\"ns-share-link\" href=\"https:\/\/twitter.com\/intent\/tweet?url=https%3A%2F%2Fnetsurit.com%2Fen-za%2Fai-maturity-model-stage%2F&amp;text=AI%20Maturity%20Model%3A%20Find%20Your%20Stage%20and%20Move%20Forward\" target=\"_blank\" rel=\"noopener noreferrer\" aria-label=\"Share this article on X\">X<\/a>\n        <a class=\"ns-share-link\" href=\"mailto:?subject=AI%20Maturity%20Model%3A%20Find%20Your%20Stage%20and%20Move%20Forward&amp;body=https%3A%2F%2Fnetsurit.com%2Fen-za%2Fai-maturity-model-stage%2F\" aria-label=\"Share this article by email\">Email<\/a>\n      <\/div>\n    <\/section>\n\n    <section class=\"ns-related\" aria-labelledby=\"ns-related-heading\">\n      <span class=\"ns-kicker\">Continue reading<\/span>\n      <h2 id=\"ns-related-heading\">Related insights<\/h2>\n\n      <div class=\"ns-related-grid\">\n        <a class=\"ns-related-card\" href=\"https:\/\/netsurit.com\/en-za\/how-can-you-adopt-ai-in-business-without-disrupting-operations\/\">\n          <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/netsurit.com\/en-za\/wp-content\/uploads\/sites\/2\/2026\/07\/How-Can-You-Adopt-AI-in-Business-Without-Disrupting-Operations-1024x576.jpg\" alt=\"Team discussing how to adopt AI in business without disrupting operations\" loading=\"lazy\" width=\"1024\" height=\"576\">\n          <span class=\"ns-related-copy\">\n            <span class=\"ns-card-label\">AI adoption<\/span>\n            <h3>How Can You Adopt AI in Business Without Disrupting Operations?<\/h3>\n            <span class=\"ns-card-link\">Read the article<\/span>\n          <\/span>\n        <\/a>\n\n        <a class=\"ns-related-card\" href=\"https:\/\/netsurit.com\/en-za\/ai-productivity-roi-beyond-personal-productivity\/\">\n          <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/netsurit.com\/en-us\/wp-content\/uploads\/sites\/5\/2026\/05\/the-board-has-stopped-counting-pilots-cover-scaled.webp\" alt=\"Business leaders examining AI productivity and measurable process value\" loading=\"lazy\" width=\"1024\" height=\"576\">\n          <span class=\"ns-related-copy\">\n            <span class=\"ns-card-label\">AI productivity ROI<\/span>\n            <h3>AI Productivity ROI Beyond Personal Productivity<\/h3>\n            <span class=\"ns-card-link\">Read the article<\/span>\n          <\/span>\n        <\/a>\n      <\/div>\n    <\/section>\n  <\/div>\n<\/article>\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>Most organisations overestimate their AI maturity. This four-stage AI maturity model helps leaders identify their real position, understand why progress stalls at workflow AI and move towards measurable process value.<\/p>\n","protected":false},"author":16,"featured_media":24617,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"nf_dc_page":"","content-type":"","footnotes":""},"categories":[21],"tags":[171,165,173,52,172,170],"class_list":["post-24614","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog","tag-ai-maturity","tag-ai-strategy","tag-ai-transformation","tag-digital-transformation","tag-process-ai","tag-workflow-automation"],"acf":[],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO Pro 5.0.2 - aioseo.com -->\n\t<meta name=\"description\" content=\"Use this four-stage AI maturity model to assess your firm and see where progress really stalls. 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