{"id":553039,"date":"2025-03-20T14:24:30","date_gmt":"2025-03-20T13:24:30","guid":{"rendered":"https:\/\/www.devoteam.com\/expert-view\/everything-you-need-to-know-about-ai-maturity-readiness\/"},"modified":"2025-09-15T16:15:25","modified_gmt":"2025-09-15T14:15:25","slug":"everything-you-need-to-know-about-ai-maturity-readiness","status":"publish","type":"expert-view","link":"https:\/\/devoteam.info\/me\/expert-view\/everything-you-need-to-know-about-ai-maturity-readiness\/","title":{"rendered":"Everything You Need to Know About AI Maturity &#038; Readiness"},"content":{"rendered":"\n<p class=\"wp-block-yoast-seo-estimated-reading-time yoast-reading-time__wrapper\"><span class=\"yoast-reading-time__icon\"><svg aria-hidden=\"true\" focusable=\"false\" data-icon=\"clock\" width=\"20\" height=\"20\" fill=\"none\" stroke=\"currentColor\" style=\"display:inline-block;vertical-align:-0.1em\" role=\"img\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 24 24\"><path stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"2\" d=\"M12 8v4l3 3m6-3a9 9 0 11-18 0 9 9 0 0118 0z\"><\/path><\/svg><\/span><span class=\"yoast-reading-time__spacer\" style=\"display:inline-block;width:1em\"><\/span><span class=\"yoast-reading-time__descriptive-text\">Estimated reading time: <\/span><span class=\"yoast-reading-time__reading-time\">21<\/span><span class=\"yoast-reading-time__time-unit\"> minutes<\/span><\/p>\n\n<p class=\"wp-block-paragraph\">The question is no longer <strong>\u201cIs your company ready for AI?\u201d<\/strong> \u2013 in all likelihood, your employees are already experimenting with AI tools in their daily work. According to a recent <a href=\"https:\/\/news.microsoft.com\/2024\/05\/08\/microsoft-and-linkedin-release-the-2024-work-trend-index-on-the-state-of-ai-at-work\/#:~:text=,Employees%2C\">Work Trend Index<\/a>, 75% of employees are using AI at work in some capacity\u200b. Likewise, in the<a href=\"https:\/\/devoteam.info\/ai-benchmark-survey-results\/\"> survey by Devoteam<\/a>, 59% of respondents reported incorporating generative AI assistants into daily workflows. <strong>The real question is whether your company is prepared to succeed with AI<\/strong>.\u00a0<\/p>\n\n<p class=\"wp-block-paragraph\">Two concepts, <strong>AI readiness<\/strong> and <strong>AI maturity<\/strong>, can help ensure your organisation can innovate and grow with AI. Once you have a clear picture of your organisation&#8217;s AI readiness, the next step is to channel that insight into a concrete action plan. For a comprehensive guide on building a robust strategy from the ground up, download our <strong><a href=\"https:\/\/devoteam.info\/whitepaper\/ai-strategy-playbook\/\">AI Strategy Playbook<\/a><\/strong>. <\/p>\n\n<p class=\"has-text-align-center has-medium-font-size wp-block-paragraph\"><strong><a href=\"https:\/\/devoteam.info\/whitepaper\/ai-strategy-playbook\/\"><strong><\/strong><\/a><strong><a href=\"https:\/\/devoteam.info\/whitepaper\/ai-strategy-playbook\/\"><strong>Downloa<\/strong>d Now: Free AI Strategy Playbook<\/a><\/strong><br><strong><a href=\"https:\/\/devoteam.info\/whitepaper\/ai-strategy-playbook\/\">[New 2025]<\/a><\/strong><\/strong><\/p>\n\n<p class=\"wp-block-paragraph\">In this article, Let\u2019s break down what AI readiness and maturity mean, how they\u2019re assessed, and how they directly impact business success.<\/p>\n\n<div class=\"wp-block-group has-gray-light-background-color has-background has-global-padding is-layout-constrained wp-container-core-group-is-layout-03cab32d wp-block-group-is-layout-constrained\" style=\"padding-top:var(--wp--preset--spacing--medium);padding-right:var(--wp--preset--spacing--medium);padding-bottom:var(--wp--preset--spacing--medium);padding-left:var(--wp--preset--spacing--medium)\">\n<div class=\"wp-block-yoast-seo-table-of-contents yoast-table-of-contents\"><h2>What you will read in this article:<\/h2><ul><li><a href=\"#h-ai-readiness-vs-ai-maturity\" data-level=\"2\">AI Readiness vs. AI Maturity<\/a><ul><li><a href=\"#h-what-is-ai-maturity\" data-level=\"3\">What is AI Maturity?<\/a><\/li><li><a href=\"#h-what-is-ai-readiness\" data-level=\"3\">What is AI Readiness?<\/a><\/li><li><a href=\"#h-the-relationship-between-readiness-and-maturity\" data-level=\"3\">The Relationship Between Readiness and Maturity<\/a><\/li><\/ul><\/li><li><a href=\"#h-business-impact-of-ai-readiness-and-maturity\" data-level=\"2\">Business Impact of AI Readiness and Maturity<\/a><\/li><li><a href=\"#h-how-to-measure-and-improve-ai-maturity-and-readiness\" data-level=\"2\">How to Measure and Improve AI Maturity and Readiness<\/a><ul><li><a href=\"#h-measuring-ai-maturity-and-readiness\" data-level=\"3\">Measuring AI Maturity and Readiness<\/a><\/li><li><a href=\"#h-improving-readiness-and-maturity\" data-level=\"3\">Improving Readiness and Maturity<\/a><\/li><li><a href=\"#h-ai-readiness-and-maturity-assessment-with-devoteam\" data-level=\"3\">AI Readiness and Maturity Assessment with Devoteam<\/a><\/li><\/ul><\/li><li><a href=\"#h-not-sure-how-to-start-with-ai\" data-level=\"2\">Not sure how to start with AI?<\/a><\/li><\/ul><\/div>\n<\/div>\n\n<h2 class=\"wp-block-heading\" id=\"h-ai-readiness-vs-ai-maturity\"><strong>AI Readiness vs. AI Maturity<\/strong><\/h2>\n\n<p class=\"wp-block-paragraph\">There is a lot of confusion around <em>AI maturity<\/em> and <em>AI readiness<\/em> assessments. Sometimes the terms are used interchangeably, but they actually refer to different (though related) aspects of an organisation\u2019s AI journey.\u00a0<\/p>\n\n<p class=\"wp-block-paragraph\">Let\u2019s clarify these two concepts and explore their relationship.<\/p>\n\n<div class=\"wp-block-group has-gray-light-background-color has-background has-global-padding is-layout-constrained wp-container-core-group-is-layout-5d9a58c0 wp-block-group-is-layout-constrained\" style=\"padding-top:var(--wp--preset--spacing--small);padding-right:var(--wp--preset--spacing--small);padding-bottom:var(--wp--preset--spacing--small);padding-left:var(--wp--preset--spacing--small)\">\n<h3 class=\"wp-block-heading has-medium-font-size\" id=\"h-what-is-ai-maturity\"><strong>What is AI Maturity?<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>AI<\/strong> <strong>maturity<\/strong> describes an organisation&#8217;s progress on the AI adoption journey \u2013 essentially, <strong>how far along you are in leveraging AI<\/strong>. An AI maturity assessment evaluates the current state of AI implementation against an advancement scale or model. This typically involves looking at multiple dimensions of capability (strategy, data, technology, talent, etc.) and the <em>breadth and depth<\/em> of AI use cases deployed\u200b.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Importantly, AI maturity is measured relative to where the organisation aspires to be. Even companies just starting with AI can be assessed for maturity, as it\u2019s more about the <strong>position on the path<\/strong> than simply time or size.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In practice, an AI maturity assessment clearly shows <strong>\u201cwhere we are today\u201d<\/strong> in our AI journey. It identifies the level of advancement in key domains like strategy, operations, data infrastructure, technical skills, human capital, and even financial planning\u200b. The outcome is often expressed as a <strong>stage or level of maturity<\/strong> on a defined scale. Let\u2019s look closer at what a maturity scale looks like.<\/p>\n\n\n\n<h4 class=\"wp-block-heading has-medium-small-font-size\" id=\"h-ai-maturity-framework-stages-of-maturity\"><strong>AI Maturity Framework \u2013 Stages of Maturity<\/strong><\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">Most AI maturity models define <strong>stages or levels<\/strong> that organisations progress through as they integrate AI. Let\u2019s expand on a typical multi-stage AI maturity framework, with real-world examples at each stage to illustrate:<\/p>\n\n\n\n<figure class=\"wp-block-image size-large has-custom-border\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/devoteam.info\/wp-content\/uploads\/2025\/03\/6-stages-of-AI-maturity-1-1024x576.jpg\" alt=\"6 stages of AI maturity timeline from low maturity to high maturity: no strategy, exploring, experimenting, formalising, optimising, transforming.\" class=\"has-border-color has-gray-light-border-color wp-image-552268\" style=\"border-width:3px\" srcset=\"https:\/\/devoteam.info\/wp-content\/uploads\/2025\/03\/6-stages-of-AI-maturity-1-1024x576.jpg 1024w, https:\/\/devoteam.info\/wp-content\/uploads\/2025\/03\/6-stages-of-AI-maturity-1-300x169.jpg 300w, https:\/\/devoteam.info\/wp-content\/uploads\/2025\/03\/6-stages-of-AI-maturity-1-768x432.jpg 768w, https:\/\/devoteam.info\/wp-content\/uploads\/2025\/03\/6-stages-of-AI-maturity-1-1536x864.jpg 1536w, https:\/\/devoteam.info\/wp-content\/uploads\/2025\/03\/6-stages-of-AI-maturity-1.jpg 1920w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<h5 class=\"wp-block-heading has-small-font-size\" id=\"h-stage-1-no-strategy-ad-hoc\"><strong>Stage 1: No Strategy (Ad Hoc)<\/strong> <\/h5>\n\n\n\n<p class=\"wp-block-paragraph\">At this initial stage, the organisation has <strong>no formal AI strategy or processes<\/strong> in place. Any AI usage is minimal. Data is likely siloed in individual applications with little sharing or analytics. This lack of strategy and governance is risky. The absence of an AI\/data strategy is cited as a top <a href=\"https:\/\/devoteam.info\/en-se\/expert-view\/why-ai-projects-fail\/\">reason AI projects fail<\/a>\u200b.\u00a0<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><kbd><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-primary-color\">Example:\u00a0<\/mark> A small local business might only use basic automation (like an email spam filter) and have no dedicated data scientist. Employees might dabble with tools like ChatGPT on their own, but there\u2019s no management awareness, strategy or plan.<\/kbd><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h4 class=\"wp-block-heading has-small-font-size\" id=\"h-stage-2-exploring\"><strong>Stage 2: Exploring <\/strong><\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">Organisations at this stage have developed an <strong>interest in AI<\/strong> and begun exploring possibilities but still lack a cohesive plan or strategy. There may be some prototypes or pilots, driven by enthusiastic individuals or teams, but efforts are disconnected. Data remains tightly coupled to specific apps or departments, without enterprise sharing (e.g. each team hoards its own spreadsheets). This \u201ctoe in the water\u201d phase shows openness to AI, but not much coordination yet.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><kbd><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-primary-color\">Example:<\/mark> A mid-size company\u2019s IT team might experiment with a chatbot for customer service on the side, and some business analysts use machine learning in isolated cases, but leadership hasn\u2019t defined an AI roadmap.<br\/><\/kbd><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h5 class=\"wp-block-heading has-small-font-size\" id=\"h-stage-3-experimenting\"><strong>Stage 3: Experimenting<\/strong><\/h5>\n\n\n\n<p class=\"wp-block-paragraph\">At this point, the company recognises AI\u2019s potential and <strong>organises stakeholders to conduct pilots and proof-of-concepts<\/strong>. An initial AI strategy or vision begins taking shape. The organisation starts allocating resources to AI experiments and establishing cross-functional teams to evaluate use cases. They set some preliminary success metrics to assess value. This stage is about <em>learning and proving value<\/em>: testing AI in the real world, gathering ROI data, and getting early wins. According to <a href=\"https:\/\/mitsloan.mit.edu\/ideas-made-to-matter\/whats-your-companys-ai-maturity-level#:~:text=Stage%202%3A%20Build%20pilots%20and,capabilities\">MIT CISR <\/a>research, roughly one-third of companies are at the pilot stage, focusing on moving from isolated experiments to more systematic innovation.\u200b<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><kbd><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-primary-color\">Example:<\/mark>\u00a0 A regional bank launching a pilot using AI for fraud detection, assembling data engineers and risk managers to test the solution on a small scale.<br\/><\/kbd><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h5 class=\"wp-block-heading has-small-font-size\" id=\"h-stage-4-formalising\"><strong>Stage 4: Formalising<\/strong><\/h5>\n\n\n\n<p class=\"wp-block-paragraph\">In this stage, the organisation has demonstrated <strong>clear ROI from AI projects<\/strong> and is now formalising and standardising its approach. AI projects start moving from pilot to production. The company develops standard tools, templates, or methods for AI development and deployment. An AI use-case portfolio or roadmap is defined, and governance begins to tighten. There is an effort to <strong>codify best practices<\/strong>, ensure data pipelines are in place, and plan broader rollouts. At this level, AI is still not ubiquitous, but it\u2019s no longer ad hoc. The company has repeatable processes for building AI solutions and has proven they can impact business outcomes.\u200b<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><kbd><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-primary-color\">Example:<\/mark> An e-commerce firm might have successfully used AI to personalise marketing and can show a lift in sales from those efforts. Now, they have established an internal AI Center of Excellence to create guidelines for all new AI initiatives.<br\/><\/kbd><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h5 class=\"wp-block-heading has-small-font-size\" id=\"h-stage-5-optimising\"><strong>Stage 5: Optimising<\/strong> <\/h5>\n\n\n\n<p class=\"wp-block-paragraph\">By Stage 5, the organisation has built <strong>well-defined, automated pipelines<\/strong> for developing, deploying, evaluating and maintaining AI agents at scale. AI isn\u2019t just a series of projects, it\u2019s becoming an integral part of business operations. Data infrastructure is likely modernised (e.g. cloud data lakes, real-time data feeds) to support company-wide AI needs. The company offers self-service AI tools or platforms to its teams. A well-structured AI product\/catalogue exists, and many processes are enhanced by AI. At this stage, AI capabilities are enterprise-wide. One hallmark of Stage 5 is that new AI solutions can be deployed faster and more reliably because the <strong>organisation&#8217;s AI \u201cmachinery\u201d is in place<\/strong> (platforms, pipelines, governance, skills)\u200b.<br\/><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><kbd><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-primary-color\">Example:<\/mark> A global financial firm uses a company-wide AI assistant to help employees analyse documents, automate tasks, and support customers. With standardised processes for managing and improving the AI, they can quickly deploy new AI solutions across all departments.<\/kbd><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h5 class=\"wp-block-heading has-small-font-size\" id=\"h-stage-6-transforming\"><strong>Stage 6: Transforming<\/strong><\/h5>\n\n\n\n<p class=\"wp-block-paragraph\">In the highest maturity stage, AI is <strong>core to the business\u2019s strategy and competitive advantage<\/strong>. The enterprise is truly <em>AI-driven<\/em>. AI systems are deeply embedded in every facet of decision-making and operations, often in real-time. The organisation likely continuously refines its AI strategy as the market and technology evolve, practising a culture of data-driven innovation. At this level, companies often develop proprietary AI models and may even <strong>offer AI-based products or services<\/strong> externally. In a recent <a href=\"https:\/\/mitsloan.mit.edu\/ideas-made-to-matter\/whats-your-companys-ai-maturity-level#:~:text=Stage%204%3A%20Become%20%E2%80%9CAI%20future\">MIT study<\/a>, only ~7% of firms reached this \u201cAI Future-Ready\u201d tier. At Stage 6, AI is not just an enabler but a strategic differentiator; the business might even be redefining its industry through AI innovation. This \u201ctransformative\u201d stage is the pinnacle where the enterprise is <strong>all-in on AI<\/strong>, much like how leading firms in the past became all-in on the internet or cloud.<br\/><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><kbd><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-primary-color\">Example:\u200b<\/mark> A professional services firm uses advanced AI agents for key tasks like market analysis, forecasting, and client interaction. These agents, powered by specialised language models, work together to find opportunities, predict risks, and suggest strategies, giving the firm a competitive edge and driving innovation. Such companies continually push the frontier of what AI can do, and AI gives them a sustainable competitive edge.\u00a0<\/kbd><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"wp-block-paragraph\">It\u2019s worth noting that different frameworks may label or count stages differently (some use four or five stages, others six or more). But the progression is broadly similar \u2013 from no AI, to experimenting, to implementing, to integrating, to truly transforming the business with AI. The key is that <strong>AI maturity is a journey<\/strong> of cumulative capability-building. As one expert put it, organisations must build up capabilities and lessons at each stage as they move toward being \u201cfuture-ready\u201d for AI\u200b.<\/p>\n<\/div>\n\n<div class=\"wp-block-group has-background has-global-padding is-layout-constrained wp-container-core-group-is-layout-5d9a58c0 wp-block-group-is-layout-constrained\" style=\"background-color:#efeadc;padding-top:var(--wp--preset--spacing--small);padding-right:var(--wp--preset--spacing--small);padding-bottom:var(--wp--preset--spacing--small);padding-left:var(--wp--preset--spacing--small)\">\n<h3 class=\"wp-block-heading has-medium-font-size\" id=\"h-what-is-ai-readiness\"><strong>What is AI Readiness?<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">If AI maturity is about <em>how far you\u2019ve come<\/em>, <strong>AI readiness<\/strong> is about <em>how prepared you are to move forward<\/em>. AI <strong>readiness<\/strong> refers to an organisation&#8217;s <strong>preparedness to effectively adopt, integrate, and derive value from AI<\/strong>. It\u2019s essentially an operational check: do we have the necessary ingredients in place to start (or scale up) AI initiatives? While maturity looks at the current state and progress, readiness focuses on the <strong>prerequisites<\/strong> for successful AI projects.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">An AI readiness assessment typically results in a <strong>gap analysis<\/strong> \u2013 highlighting areas that need improvement before embarking on ambitious AI plans\u200b. Think of it like evaluating if you\u2019re \u201cready to launch.\u201d It examines everything from data quality, to infrastructure, to skills and culture, to identify what might hinder AI adoption. Even a very AI-mature company would still do readiness checks when pursuing <em>new<\/em> AI capabilities.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In summary, <strong>AI readiness is about having the groundwork laid<\/strong> for AI success. It doesn\u2019t necessarily mean you\u2019ve implemented AI broadly yet, but that you are <strong>ready to do so<\/strong>. This involves ensuring the right technology, data, people, and governance are in place. A readiness assessment is often done <strong>before or at the start<\/strong> of an AI project or program, to make sure any gaps are addressed early. As a result, improving AI readiness accelerates and de-risks the journey toward higher AI maturity.<\/p>\n\n\n\n<h4 class=\"wp-block-heading has-medium-small-font-size\" id=\"h-ai-readiness-assessment-key-elements\"><strong>AI Readiness Assessment \u2013 Key Elements<\/strong><\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">Conducting an AI readiness assessment means evaluating your organisation across a number of <strong>critical dimensions<\/strong>::\u200b<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Strategic Vision &amp; Alignment:<\/strong> Is there a clear business strategy for AI? This checks if leadership has defined how AI will drive business goals and a roadmap to get there. Aligning AI initiatives with a <em>concrete strategic vision<\/em> ensures <a href=\"https:\/\/devoteam.info\/en-se\/expert-view\/ai-hype-vs-reality-why-we-shouldnt-be-talking-about-ai\/\">AI projects target real business value rather than chasing hype<\/a>.<\/li>\n<\/ol>\n\n\n\n<ol start=\"2\" class=\"wp-block-list\">\n<li><strong>AI Governance &amp; Risk Management:<\/strong> Have you established the policies, oversight, and ethical guidelines for AI use? AI governance means having committees or processes to review AI projects, manage risks, and ensure compliance with regulations and ethical standards\u200b. Governance readiness is crucial, especially with emerging regulations.<\/li>\n<\/ol>\n\n\n\n<ol start=\"3\" class=\"wp-block-list\">\n<li><strong>Data Foundation:<\/strong> Is your data in good shape for AI? This involves data quality, availability, integration, and governance. AI is data-hungry; without <strong>reliable, well-structured data<\/strong>, even the best algorithms will fail. A readiness assessment looks at whether you have the data (and data infrastructure) needed for AI \u2013 for instance, are data sources integrated or siloed? Are there large gaps or biases in the data? Poor data readiness, on the other hand, has sunk many AI projects.<\/li>\n<\/ol>\n\n\n\n<ol start=\"4\" class=\"wp-block-list\">\n<li><strong>Technology Infrastructure:<\/strong> Do you have the required hardware, software platforms, and tools to support AI initiatives? This could mean cloud computing resources, scalable storage\/processing for big data, and deployment platforms for machine learning models. If a company\u2019s IT environment is outdated, an assessment will flag that \u2013 perhaps you need to invest in a cloud data warehouse or specialised AI platforms before proceeding. <strong>Secure, scalable infrastructure<\/strong> is a must for AI readiness\u200b.<br\/><\/li>\n\n\n\n<li><strong>Talent and Skills:<\/strong> Does your organisation have (or have access to) people with the right AI skills? AI readiness means having data scientists, ML engineers, or AI-savvy domain experts \u2013 or plans to acquire or train them\u200b. It\u2019s not just about a couple of data scientists in IT; consider whether your broader workforce has basic AI literacy and if you have a plan to fill skill gaps. For example, if you\u2019re aiming to deploy AI at scale but have no machine learning engineers on staff, you\u2019re not ready \u2013 you might need to hire or upskill teams, or partner with experts.<\/li>\n<\/ol>\n\n\n\n<ol start=\"6\" class=\"wp-block-list\">\n<li><strong>Culture and Change Management:<\/strong> How adaptable is your organisation&#8217;s culture to embracing AI-driven change? Readiness isn\u2019t only technical \u2013 it\u2019s also about mindset. A culture of innovation, willingness to experiment, and employee buy-in for working with AI are important. If your culture is very siloed or risk-averse, that\u2019s a readiness gap. Successful AI adoption often requires <a href=\"https:\/\/devoteam.info\/expert-view\/the-7-essential-keys-to-effective-change-management-for-successful-transformation\/\"><strong>change management<\/strong><\/a>, training programs, and clear communication to alleviate employee concerns.<\/li>\n<\/ol>\n\n\n\n<ol start=\"7\" class=\"wp-block-list\">\n<li><strong>Budget and Financial Readiness:<\/strong> While not always highlighted, a practical element is ensuring you have <strong>allocated budget for AI initiatives<\/strong> and a realistic financial plan. AI projects can require upfront investment with payback over time. Being financially ready might mean setting aside an AI innovation fund or securing executive sponsorship for a multi-year AI roadmap.<\/li>\n<\/ol>\n\n\n\n<ol start=\"8\" class=\"wp-block-list\">\n<li><strong>Ethical and Responsible AI Considerations:<\/strong> Are you prepared to build AI responsibly? Readiness includes awareness of potential biases, fairness and transparency requirements, and having processes to audit AI decisions. Many organisations now include an ethics checkpoint in readiness assessments to avoid reputational and legal pitfalls down the line\u200b.<\/li>\n<\/ol>\n\n\n\n<h4 class=\"wp-block-heading has-medium-small-font-size\" id=\"h-ai-readiness-industry-consideration\"><strong><strong>AI Readiness<\/strong> &#8211; Industry<\/strong> Consideration<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">Not every company will score high on all these dimensions initially, and that\u2019s normal. An AI readiness assessment aims to <strong>find the gaps<\/strong> so you can address them. At Devoteam, we recognise that your maturity or readiness can <strong>depend on your industry<\/strong>. Different industries have unique challenges and priorities for AI readiness:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>In highly regulated sectors like <strong>healthcare or finance<\/strong>, governance, compliance, and ethical AI readiness take on heightened importance. A hospital network must ensure strict patient data privacy and validate algorithms for bias (e.g. in diagnostic AI) before it can responsibly deploy them. Regulatory readiness is key. These industries may move slower with AI not due to lack of interest, but because they need to shore up these safeguards first.<br\/><\/li>\n\n\n\n<li>In data-rich industries like <strong>retail or social media<\/strong>, data foundation and infrastructure are often the limiting factors. A retailer assessing AI readiness might find that integrating its online, in-store, and third-party data is the big hurdle to unlocking AI value. The industry is less regulated, but the technical readiness and data strategy determine success.<br\/><\/li>\n\n\n\n<li>In <strong>manufacturing<\/strong>, readiness might heavily depend on IoT and real-time data pipeline capabilities. If sensors on the factory floor aren\u2019t in place or feeding data to a central system, AI can\u2019t effectively do predictive analytics. So, the readiness assessment would focus on operational tech integration and training plant managers to trust AI insights for maintenance scheduling.<br\/><\/li>\n\n\n\n<li>The <strong>public sector<\/strong> often scores low on AI readiness; governments tend to have legacy systems, limited budgets, and risk-averse culture. This is slowly changing, but a government agency\u2019s readiness assessment may reveal major needs in modernising IT infrastructure and workforce skills before AI can be scaled. On the flip side, public agencies put a strong emphasis on ethics and fairness from the start, given their mandate.<br\/><\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">The key takeaway is that <strong>AI readiness is multidimensional<\/strong> and context-dependent. A thorough readiness assessment helps tailor your AI strategy to your current reality \u2013 ensuring you address critical gaps first.<\/p>\n<\/div>\n\n<h3 class=\"wp-block-heading has-medium-font-size\" id=\"h-the-relationship-between-readiness-and-maturity\"><strong>The Relationship Between Readiness and Maturity<\/strong><\/h3>\n\n<p class=\"wp-block-paragraph\">How do AI readiness and AI maturity relate to each other? In simple terms, <strong>readiness is about being prepared to climb the ladder<\/strong>, while <strong>maturity is about how high you\u2019ve climbed<\/strong>. They are distinct concepts, but very much intertwined:<\/p>\n\n<h4 class=\"wp-block-heading has-medium-small-font-size\" id=\"h-readiness-enables-maturity\"><strong>Readiness enables maturity<\/strong><\/h4>\n\n<p class=\"wp-block-paragraph\">You can\u2019t reach the higher stages of AI maturity without being ready at each step. Think of AI readiness elements (strategy, data, skills, etc.) as the <em>building blocks<\/em> that allow an organisation to advance to more mature levels of AI use.\u200b For instance, if you don\u2019t have a solid data foundation and governance (readiness), you\u2019ll stall out in the early experimentation stage of maturity because projects will fail or hit roadblocks. As a <a href=\"https:\/\/bppj.studentorg.berkeley.edu\/2021\/03\/03\/an-ai-maturity-and-readiness-model-for-governments\/#:~:text=as%20government%20agencies%20ramp%20up,to%20optimize%20workflows%20at%20scale\">Berkeley study<\/a> on government AI puts it, an agency\u2019s AI readiness provides the necessary infrastructure to progress in AI maturity\u200b.<br\/><\/p>\n\n<h4 class=\"wp-block-heading has-medium-small-font-size\" id=\"h-maturity-provides-direction-for-improving-readiness\"><strong>Maturity provides direction for improving readiness<\/strong><\/h4>\n\n<p class=\"wp-block-paragraph\">An AI maturity assessment often reveals <em>what you will need<\/em> to get to the next level \u2013 which points back to readiness gaps. For example, realising you are at \u201cStage 2: experimenting\u201d in maturity might highlight that to reach \u201cStage 3\u201d you need better infrastructure and more data integration (readiness improvements). In practice, organisations often <strong>combine maturity and readiness assessments<\/strong> to get a full picture\u200b. The maturity assessment shows where you stand and where you want to go; the readiness assessment shows what\u2019s missing to get there.<br\/><\/p>\n\n<h4 class=\"wp-block-heading has-medium-small-font-size\" id=\"h-sequential-but-overlapping\"><strong>Sequential but overlapping<\/strong><\/h4>\n\n<p class=\"wp-block-paragraph\">Typically, you address readiness early (ensuring you have prerequisites before major AI projects). As you implement and gain maturity, new needs emerge, prompting fresh readiness evaluations. It\u2019s an ongoing cycle: achieve a level of maturity, identify new gaps to prepare for the next, and so on. Even very AI-mature companies continuously check readiness when adopting <em>new<\/em> AI technologies (for example, a company might be mature with traditional AI but not <em>ready<\/em> for adopting the latest generative AI models without upgrading certain tools or policies).<br\/><\/p>\n\n<p class=\"wp-block-paragraph\">In practice, when we talk about an <strong>\u201cAI Maturity and Readiness Assessment\u201d<\/strong>, it usually means examining both: assessing the current maturity level <em>and<\/em> assessing readiness factors to execute an AI roadmap. The two assessments together answer: <em>Where are we now? How does that compare to peers or to our goal?<\/em> (maturity) <strong>and<\/strong> <em>What must we fix or invest in to successfully move forward?<\/em> (readiness). In short, <strong>AI readiness and AI maturity go hand in hand<\/strong> \u2013 readiness is about preparing the soil, and maturity is the growth you cultivate from it. Both are critical to ensure that as you adopt AI, you do so <em>effectively<\/em> and <em>sustainably<\/em>. Skipping either one \u2013 e.g. deploying AI without readiness, or planning in isolation without measuring progress \u2013 can lead to problems. Companies that balance both see the best outcomes.<\/p>\n\n<h2 class=\"wp-block-heading\" id=\"h-business-impact-of-ai-readiness-and-maturity\"><strong>Business Impact of AI Readiness and Maturity<\/strong><\/h2>\n\n<p class=\"wp-block-paragraph\">How do strong AI readiness and high AI maturity affect real business results? In a word: <strong>significantly<\/strong>. Organisations focusing on building AI readiness and growing their AI maturity achieve significant benefits, including better financial performance and quicker innovation.<\/p>\n\n<figure class=\"wp-block-image size-large has-custom-border\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/devoteam.info\/wp-content\/uploads\/2025\/03\/The-Impact-of-AI-ReadinessMaturity-1024x576.jpg\" alt=\"Business Impact of AI Readiness and Maturity: Higher Success Rates and ROI, Improved Financial Performance &amp; Competitive Advantage, Strategic Alignment and Focus, Resource Optimisation, Faster Innovation and Scalability, Better Risk Management and Fewer Costly Failures, Talent Empowerment and Cultural Benefits,Clear Roadmaps and Organisational Alignment\" class=\"has-border-color has-gray-light-border-color wp-image-552417\" style=\"border-width:3px\" srcset=\"https:\/\/devoteam.info\/wp-content\/uploads\/2025\/03\/The-Impact-of-AI-ReadinessMaturity-1024x576.jpg 1024w, https:\/\/devoteam.info\/wp-content\/uploads\/2025\/03\/The-Impact-of-AI-ReadinessMaturity-300x169.jpg 300w, https:\/\/devoteam.info\/wp-content\/uploads\/2025\/03\/The-Impact-of-AI-ReadinessMaturity-768x432.jpg 768w, https:\/\/devoteam.info\/wp-content\/uploads\/2025\/03\/The-Impact-of-AI-ReadinessMaturity-1536x864.jpg 1536w, https:\/\/devoteam.info\/wp-content\/uploads\/2025\/03\/The-Impact-of-AI-ReadinessMaturity.jpg 1920w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n<h4 class=\"wp-block-heading has-medium-small-font-size\" id=\"h-let-s-explore-some-direct-impacts-and-why-upping-your-ai-readiness-maturity-pays-off\">Let\u2019s explore some direct impacts and why upping your AI readiness\/maturity pays off:<\/h4>\n\n<ul class=\"wp-block-list\">\n<li><strong>Higher Success Rates and ROI:<\/strong> Companies that systematically assess and improve readiness have far greater success with AI deployments, thanks to strategic aligemet, resource optimisation and clear roadmap. Moreover, prioritising readiness evaluation allows enterprises to make informed AI investments, leading to improved returns.<\/li>\n\n\n\n<li><strong>Improved Financial Performance &amp; Competitive Advantage:<\/strong> Advancing in AI maturity isn\u2019t just a tech vanity metric. According to <a href=\"https:\/\/mitsloan.mit.edu\/ideas-made-to-matter\/whats-your-companys-ai-maturity-level#:~:text=Weill%2C%20Stephanie%20Woerner%2C%20and%20Ina,performed%20above%20their%20industry%E2%80%99s%20average\">MIT researchers<\/a>, enterprises in the later stages of AI maturity financially outperform their industry averages, whereas those in the early stages underperform their peers.  AI maturity correlates with competitive advantage. Those who lag in readiness and maturity risk falling behind competitors who leverage AI more effectively.<\/li>\n\n\n\n<li><strong>Strategic Alignment and Focus:<\/strong> Going through AI readiness and maturity assessments helps ensure that AI initiatives align with business strategy. Rather than random acts of AI, you develop a clear roadmap tied to your goals. This alignment means resources are invested in AI projects that matter most, increasing the impact. It prevents waste on \u201cshiny tools\u201d. We look deeper into that trap and how to avoid it <a href=\"https:\/\/devoteam.info\/expert-view\/strategy-over-shiny-tools-ai-adoption\/\">in this article<\/a>.\u00a0<\/li>\n\n\n\n<li><strong>Resource Optimisation:<\/strong> By identifying gaps and needs upfront and understanding your maturity stage, you can prioritise investments more effectively. Businesses can allocate budget and talent to the most critical areas. It\u2019s much more cost-effective to fix foundational issues early than to deal with failed implementations later.<\/li>\n\n\n\n<li><strong>Faster Innovation and Scalability:<\/strong> An organisation well-prepared for AI can innovate faster. High readiness means less friction to try new AI ideas \u2013 the data is there, the tools are available, the team is capable. This allows for rapid prototyping and scaling of successful pilots. This agility is a huge competitive asset in fast-moving markets. Additionally, when an AI initiative works, an AI-mature organisation can scale it enterprise-wide much easier (because governance, infrastructure, etc. are already in place from prior efforts).<\/li>\n\n\n\n<li><strong>Better Risk Management and Fewer Costly Failures:<\/strong> AI readiness inherently includes identifying and mitigating risks \u2013 whether data privacy, ethical pitfalls, or operational risks. By doing this proactively, businesses avoid surprises after deployment.<\/li>\n\n\n\n<li><strong>Talent Empowerment and Cultural Benefits:<\/strong> Going through the process of improving AI readiness often involves upskilling staff, hiring new talent, and fostering a more data-driven culture. A culture that embraces AI and continuous learning can become a magnet for innovative thinkers. Internally, teams become more adept at using data and analytics in their day-to-day decisions, not just in designated \u201cAI projects.\u201d Over time, this cultivates a culture of innovation and agility. Additionally, involving employees in readiness assessments makes AI adoption more inclusive, increasing acceptance of the changes.<\/li>\n\n\n\n<li><strong>Clear Roadmaps and Organisational Alignment:<\/strong> Finally, the outputs of maturity\/readiness evaluations give leadership and teams a clear roadmap for AI adoption. It turns obscure goals (\u201cwe should do AI\u201d) into a concrete plan (\u201cwe are at maturity Level 2, to reach Level 3 in two years we need to invest in X data platform, hire Y experts, and implement these 3 pilot projects\u2026\u201d). When everyone understands the plan and their role in it, execution improves. It also becomes easier to communicate progress and wins. In essence, it aligns the organisation on the AI journey.<\/li>\n<\/ul>\n\n<p class=\"wp-block-paragraph\">By leveraging AI readiness and maturity frameworks, businesses gain <strong>valuable insights and guidance<\/strong> that translate into tangible outcomes: higher ROI, competitive edge, aligned strategy, efficient operations, and mitigated risks. Ensuring your organisation is AI-ready and steadily maturing in capability will help you think big <em>and<\/em> execute, leading to sustainable success in the AI era.<\/p>\n\n<h2 class=\"wp-block-heading\" id=\"h-how-to-measure-and-improve-ai-maturity-and-readiness\">How to <strong>Measure and Improve AI Maturity and Readiness<\/strong><\/h2>\n\n<h3 class=\"wp-block-heading has-medium-small-font-size\" id=\"h-measuring-ai-maturity-and-readiness\"><strong>Measuring AI Maturity and Readiness<\/strong><\/h3>\n\n<p class=\"wp-block-paragraph\">So, how do organisations actually measure their AI maturity and readiness? And once you have an assessment, what do you do next?<\/p>\n\n<p class=\"wp-block-paragraph\">Typically, measuring AI maturity or readiness involves a mix of <strong>surveys, interviews, workshops, and documentation reviews<\/strong>. Many companies start with a structured questionnaire or scorecard that rates the organisation across various dimensions (as we discussed). These might be self-assessments or facilitated by an external expert. For example, answering questions like \u201cDo we have an AI strategy endorsed by leadership?\u201d, \u201cWhat percentage of our workflows are augmented by AI?\u201d, or \u201cHow centralised and clean is our data?\u201d. Some use a <strong>point system or levels<\/strong> for each dimension, which aggregate into an overall maturity stage. Additionally, interviews with key stakeholders can provide qualitative insights (e.g. interviewing department heads about AI usage and challenges). Workshops can help calibrate scores and get consensus on where the organisation stands. In many cases, companies also <strong>benchmark against industry peers<\/strong>, either through published frameworks or consulting services, to see how they compare.<\/p>\n\n<p class=\"wp-block-paragraph\">Devoteam recognises that AI maturity and readiness are not one-size-fits-all concepts. That&#8217;s why our assessment depends on the industry, the organisation&#8217;s AI goals, and even the company&#8217;s current tech infrastructure. As partners of the leading cloud providers, we offer both a general AI maturity\/readiness assessment and a partner-specific assessment. Depending on your chosen provider, you can contact our Azure, AWS, or Google Cloud experts.\u00a0<\/p>\n\n<div class=\"wp-block-group has-secondary-background-color has-background has-global-padding is-layout-constrained wp-container-core-group-is-layout-03cab32d wp-block-group-is-layout-constrained\" style=\"padding-top:var(--wp--preset--spacing--medium);padding-right:var(--wp--preset--spacing--medium);padding-bottom:var(--wp--preset--spacing--medium);padding-left:var(--wp--preset--spacing--medium)\">\n<p class=\"wp-block-paragraph\">If you are interested in Google Cloud-specific AI Readiness, you can also explore our <strong><a href=\"https:\/\/aira.devoteam.com\/\">self-assessment tool Aira<\/a>.<\/strong><\/p>\n<\/div>\n\n<h4 class=\"wp-block-heading has-medium-small-font-size\" id=\"h-self-assessment-vs-external-assessment\"><strong>Self-Assessment vs External Assessment<\/strong><\/h4>\n\n<p class=\"wp-block-paragraph\">While self-assessment is a good starting point, many companies find value in bringing in an <strong>external expert<\/strong> to conduct a thorough assessment. The investment in an expert assessment can pay off by accelerating your AI program with the right roadmap.<\/p>\n\n<p class=\"wp-block-paragraph\">Bringing in an external company offers several key advantages:<\/p>\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/devoteam.info\/wp-content\/uploads\/2025\/03\/Advantages-of-Professional-AI-ReadinessMaturity-Assessment--1024x576.jpg\" alt=\"Advantages of AI Readiness and Maturity Assessment\" class=\"wp-image-552396\" srcset=\"https:\/\/devoteam.info\/wp-content\/uploads\/2025\/03\/Advantages-of-Professional-AI-ReadinessMaturity-Assessment--1024x576.jpg 1024w, https:\/\/devoteam.info\/wp-content\/uploads\/2025\/03\/Advantages-of-Professional-AI-ReadinessMaturity-Assessment--300x169.jpg 300w, https:\/\/devoteam.info\/wp-content\/uploads\/2025\/03\/Advantages-of-Professional-AI-ReadinessMaturity-Assessment--768x432.jpg 768w, https:\/\/devoteam.info\/wp-content\/uploads\/2025\/03\/Advantages-of-Professional-AI-ReadinessMaturity-Assessment--1536x864.jpg 1536w, https:\/\/devoteam.info\/wp-content\/uploads\/2025\/03\/Advantages-of-Professional-AI-ReadinessMaturity-Assessment-.jpg 1920w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n<ul class=\"wp-block-list\">\n<li><strong>Objective and Impartial View: <\/strong>Avoids internal biases and provides a truly independent assessment. Offers a fresh perspective, highlighting areas internal teams might miss.<\/li>\n\n\n\n<li><strong>Specialised Expertise: <\/strong>Brings in deep AI knowledge and experience across various industries. Utilises proven methodologies for accurate evaluation. Provides valuable industry benchmarking.<\/li>\n\n\n\n<li><strong>Comprehensive Insights: <\/strong>Offers a holistic evaluation covering strategy, data, technology, talent, and culture. Delivers actionable recommendations and a clear roadmap. Helps mitigate potential risks and challenges.<\/li>\n\n\n\n<li><strong>Efficiency and Time Saving: <\/strong>Accelerates the assessment process, saving valuable time and resources. Reduces the burden on internal teams, allowing them to focus on core tasks.<\/li>\n<\/ul>\n\n<h3 class=\"wp-block-heading has-medium-font-size\" id=\"h-improving-readiness-and-maturity\"><strong>Improving Readiness and Maturity<\/strong><\/h3>\n\n<p class=\"wp-block-paragraph\">Once the assessment is done, the next step is to act on it. In practical terms, companies will develop an <strong>AI improvement roadmap<\/strong>.<\/p>\n\n<figure class=\"wp-block-image size-large has-custom-border\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/devoteam.info\/wp-content\/uploads\/2025\/03\/Improving-AI-Readiness-and-Maturity-1024x576.jpg\" alt=\"5 steps to Improving Readiness and Maturity\" class=\"has-border-color has-gray-light-border-color wp-image-552375\" style=\"border-width:3px\" srcset=\"https:\/\/devoteam.info\/wp-content\/uploads\/2025\/03\/Improving-AI-Readiness-and-Maturity-1024x576.jpg 1024w, https:\/\/devoteam.info\/wp-content\/uploads\/2025\/03\/Improving-AI-Readiness-and-Maturity-300x169.jpg 300w, https:\/\/devoteam.info\/wp-content\/uploads\/2025\/03\/Improving-AI-Readiness-and-Maturity-768x432.jpg 768w, https:\/\/devoteam.info\/wp-content\/uploads\/2025\/03\/Improving-AI-Readiness-and-Maturity-1536x864.jpg 1536w, https:\/\/devoteam.info\/wp-content\/uploads\/2025\/03\/Improving-AI-Readiness-and-Maturity.jpg 1920w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n<ol class=\"wp-block-list\">\n<li><strong>Identifying Quick Wins:<\/strong> Look at the assessment results and find if there are any \u201clow-hanging fruit.\u201d Quick wins help build confidence and justify further investment.<br\/><\/li>\n\n\n\n<li><strong>Closing Key Gaps:<\/strong> Prioritise the major readiness gaps that are holding you back. If lack of data integration is a big issue, make it a priority project to implement a data lake or integrate systems over the next year. The idea is to <strong>address foundational issues early<\/strong>.<br\/><\/li>\n\n\n\n<li><strong>Scaling and Broadening:<\/strong> As readiness improves, you can expand AI efforts. For instance, after solidifying your data infrastructure and doing a successful pilot, you might scale that AI solution to all business units.<br\/><\/li>\n\n\n\n<li><strong>Continuous Reassessment:<\/strong> AI technology and business environments are continually evolving. Leading organisations make AI maturity and readiness assessment a <strong>regular checkup<\/strong>, keeping them aware of new gaps that emerge. AI maturity is a moving target\u2014continuous improvement is part of the journey.<br\/><\/li>\n\n\n\n<li><strong>Leverage Partners and Tools:<\/strong> To accelerate progress, many organisations partner with consultants or vendors (for example, using a cloud provider\u2019s AI tools can instantly give you world-class infrastructure without building it all in-house). There are also pre-built solutions for common needs (like data catalogue tools to improve data readiness, or MLOps platforms to help with deployment maturity). Don\u2019t reinvent the wheel if a partnership or product can speed up your capability.\u00a0<\/li>\n<\/ol>\n\n<h3 class=\"wp-block-heading has-medium-font-size\" id=\"h-ai-readiness-and-maturity-assessment-with-devoteam\"><strong>AI Readiness and Maturity Assessment with Devoteam<\/strong><\/h3>\n\n<p class=\"wp-block-paragraph\">Devoteam has extensive experience with conducting AI readiness and maturity assessments for companies across different industries. Here is what our experts bring to the table:\u00a0\u00a0<\/p>\n\n<ul class=\"wp-block-list\">\n<li><strong>Trusted AI Consulting Expertise: <\/strong>With over 1,000 AI consultants and a track record of 300+ successful AI projects, you can expect impactful, knowledge-driven results from your assessment.<\/li>\n<\/ul>\n\n<ul class=\"wp-block-list\">\n<li><strong>Access to Leading AI Technologies: <\/strong>Benefit from our strong partnerships with industry leaders, including AWS, Google Cloud, and Microsoft. Thanks to that, we can provide assessments tailored to your current infrastructure, or help you to leverage pre-built solutions, improving your readiness.\u00a0<\/li>\n<\/ul>\n\n<ul class=\"wp-block-list\">\n<li><strong>Customised AI Solutions for Your Business: <\/strong>We recognise each business&#8217;s unique needs. Our AI Readiness and Maturity assessments provide a personalised approach to addressing your specific requirements and goals. We also recognise the specific challenges of your industry and ensure that our assessment reflects that.<\/li>\n<\/ul>\n\n<ul class=\"wp-block-list\">\n<li><strong>Driving Measurable AI ROI: <\/strong>We focus on delivering tangible business outcomes, not just technology. We&#8217;ll help you measure and maximise the return on your AI investments, starting with AI maturity and readiness assessment.<\/li>\n<\/ul>\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n<div class=\"wp-block-cover alignfull is-style-blur-image is-style-blur-image-less\" style=\"margin-top:0;margin-bottom:0;padding-top:0;padding-right:0;padding-bottom:0;padding-left:0\"><span aria-hidden=\"true\" class=\"wp-block-cover__background has-black-background-color has-background-dim-70 has-background-dim\"><\/span><img loading=\"lazy\" decoding=\"async\" width=\"1920\" height=\"1275\" src=\"https:\/\/devoteam.info\/wp-content\/uploads\/2024\/11\/GettyImages-113174155_edited.jpg\" class=\"wp-block-cover__image-background wp-post-image\" alt=\"\" data-object-fit=\"cover\" srcset=\"https:\/\/devoteam.info\/wp-content\/uploads\/2024\/11\/GettyImages-113174155_edited.jpg 1920w, https:\/\/devoteam.info\/wp-content\/uploads\/2024\/11\/GettyImages-113174155_edited-300x199.jpg 300w, https:\/\/devoteam.info\/wp-content\/uploads\/2024\/11\/GettyImages-113174155_edited-1024x680.jpg 1024w, https:\/\/devoteam.info\/wp-content\/uploads\/2024\/11\/GettyImages-113174155_edited-768x510.jpg 768w, https:\/\/devoteam.info\/wp-content\/uploads\/2024\/11\/GettyImages-113174155_edited-1536x1020.jpg 1536w\" sizes=\"auto, (max-width: 1920px) 100vw, 1920px\" \/><div class=\"wp-block-cover__inner-container is-layout-flow wp-block-cover-is-layout-flow\">\n<div class=\"wp-block-group alignfull has-base-color has-text-color has-global-padding is-layout-constrained wp-container-core-group-is-layout-46b67d08 wp-block-group-is-layout-constrained\" style=\"margin-top:0px;margin-bottom:0px;padding-top:var(--wp--preset--spacing--xxx-large);padding-right:var(--wp--preset--spacing--medium);padding-bottom:var(--wp--preset--spacing--xxx-large);padding-left:var(--wp--preset--spacing--medium)\">\n<div class=\"wp-block-group is-layout-flow wp-block-group-is-layout-flow\">\n<div class=\"wp-block-group has-global-padding is-content-justification-left is-layout-constrained wp-container-core-group-is-layout-5f9de3d0 wp-block-group-is-layout-constrained\">\n<h2 class=\"wp-block-heading has-text-align-left has-secondary-font-family has-large-font-size\" id=\"h-not-sure-how-to-start-with-ai\">Not sure how to start with AI?<\/h2>\n<\/div>\n\n\n\n<p class=\"has-text-align-left has-main-accent-color has-text-color wp-block-paragraph\">We have helped over 300 organisations in the same place. Let&#8217;s start with a chat and see how we can guide your company!<\/p>\n\n\n\n<div class=\"wp-block-buttons is-content-justification-left is-layout-flex wp-container-core-buttons-is-layout-3c38c079 wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/devoteam.info\/ai-journey\/\">Begin your AI Journey<\/a><\/div>\n\n\n\n<div class=\"wp-block-button is-style-outline-white-button\"><a class=\"wp-block-button__link has-base-color has-text-color has-background wp-element-button\" href=\"https:\/\/devoteam.info\/success-story\/?category_name=ai\" style=\"background-color:#64648254\">AI References<\/a><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/div>\n\n<p class=\"wp-block-paragraph\"><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The question is no longer \u201cIs your company ready for AI?\u201d \u2013 in all likelihood, your employees are already experimenting with AI tools in their daily work. According to a recent Work Trend Index, 75% of employees are using AI at work in some capacity\u200b. Likewise, in the survey by Devoteam, 59% of respondents reported [&hellip;]<\/p>\n","protected":false},"featured_media":216786,"template":"","categories":[910,2338],"tags":[],"industry":[],"class_list":["post-553039","expert-view","type-expert-view","status-publish","has-post-thumbnail","hentry","category-ai-me","category-strategy-me"],"acf":[],"cards":"\n\t<div class=\"single-post-card\">\n\n\t\t<figure class=\"wp-block-post-featured-image\"><a href=\"https:\/\/devoteam.info\/me\/expert-view\/everything-you-need-to-know-about-ai-maturity-readiness\/\" target=\"_self\" ><img width=\"1920\" height=\"1275\" src=\"https:\/\/devoteam.info\/wp-content\/uploads\/2024\/11\/GettyImages-113174155_edited.jpg\" class=\"attachment-post-thumbnail size-post-thumbnail wp-post-image\" alt=\"Everything You Need to Know About AI Maturity &#038; Readiness\" style=\"aspect-ratio:4\/3;width:100%;object-fit:cover;\" decoding=\"async\" loading=\"lazy\" srcset=\"https:\/\/devoteam.info\/wp-content\/uploads\/2024\/11\/GettyImages-113174155_edited.jpg 1920w, https:\/\/devoteam.info\/wp-content\/uploads\/2024\/11\/GettyImages-113174155_edited-300x199.jpg 300w, https:\/\/devoteam.info\/wp-content\/uploads\/2024\/11\/GettyImages-113174155_edited-1024x680.jpg 1024w, https:\/\/devoteam.info\/wp-content\/uploads\/2024\/11\/GettyImages-113174155_edited-768x510.jpg 768w, https:\/\/devoteam.info\/wp-content\/uploads\/2024\/11\/GettyImages-113174155_edited-1536x1020.jpg 1536w\" sizes=\"auto, (max-width: 1920px) 100vw, 1920px\" \/><\/a><\/figure>\n\n\t\t\n\t\t<div class=\"wp-block-group is-vertical is-layout-flex wp-container-core-group-is-layout-43282307 wp-block-group-is-layout-flex\">\n\t<p style=\"font-style:normal;font-weight:700\" class=\"has-link-color wp-elements-1 wp-block-lp-post-type has-text-color has-primary-color has-small-font-size\">Expert View<\/p>\n\n\t\t\n\t\t<h3 style=\"font-style:normal;font-weight:400\" class=\"wp-block-post-title has-base-font-size\"><a href=\"https:\/\/devoteam.info\/me\/expert-view\/everything-you-need-to-know-about-ai-maturity-readiness\/\" target=\"_self\" >Everything You Need to Know About AI Maturity &#038; Readiness<\/a><\/h3><\/div>\n\t\t\n\t<\/div>\n\n","yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v28.4 (Yoast SEO v28.4) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Everything You Need to Know About AI Maturity &amp; Readiness | Devoteam<\/title>\n<meta name=\"description\" content=\"Is your company ready to succeed with AI? 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