{"id":73006,"date":"2026-07-15T08:57:36","date_gmt":"2026-07-15T06:57:36","guid":{"rendered":"https:\/\/cronuts.digital\/?p=73006"},"modified":"2026-07-15T09:33:49","modified_gmt":"2026-07-15T07:33:49","slug":"ai-first-consultancy","status":"publish","type":"post","link":"https:\/\/cronuts.digital\/en\/ai-first-consultancy\/","title":{"rendered":"AI First thinking: how an AI First consultancy works on the inside"},"content":{"rendered":"<p>An <strong>AI First consultancy<\/strong> is a services company that takes <strong>artificial intelligence<\/strong> as the starting point of every process, not as an add-on: faced with any task, project or internal tool, the first question is always &#8220;how can this be solved with AI?&#8221;. <strong>AI First thinking<\/strong> isn&#8217;t about using more artificial intelligence tools, it&#8217;s about changing the order of decisions: first the problem is described, then the solution is built with AI, and only the traditional method is used when AI falls short.<\/p>\n<figure class=\"cronuts-short-embed\" style=\"margin:32px auto;max-width:340px;\">\n<div style=\"aspect-ratio:9\/16;border-radius:18px;overflow:hidden;box-shadow:0 10px 30px rgba(0,0,0,0.12);background:#000;\"><iframe src=\"https:\/\/www.youtube-nocookie.com\/embed\/lF1ppErdlps\" title=\"AI First thinking: how an AI First consultancy works on the inside\" loading=\"lazy\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen style=\"width:100%;height:100%;border:0;display:block;\"><\/iframe><\/div>\n<\/figure>\n<p>In this article we explain what that shift in mindset means and show it through a real, verifiable case: <strong>El Mundial de Cronuts<\/strong>, a complete application for our team&#8217;s World Cup 2026 sweepstake, built entirely with <strong>generative AI<\/strong>.<\/p>\n<h2>What AI First thinking is (and isn&#8217;t)<\/h2>\n<p><strong>AI First thinking<\/strong> is a decision-making criterion, not a technology. The term became popular when <strong>Sundar Pichai<\/strong>, chief executive of <strong>Google<\/strong>, wrote in his first shareholder letter as CEO, in April 2016, that the company would move from thinking &#8220;mobile first&#8221; to thinking &#8220;AI first&#8221;; Google later confirmed it as corporate philosophy on its <a href=\"https:\/\/blog.google\/technology\/ai\/making-ai-work-for-everyone\/\" target=\"_blank\" rel=\"noreferrer noopener\">official blog<\/a>. Since then, it has defined organisations that design their processes assuming AI will be involved from the very first moment.<\/p>\n<p>Being AI First isn&#8217;t having ChatGPT, Claude or Gemini licences for the team. Nor is it publicising that &#8220;we use artificial intelligence&#8221;. The difference shows in the <strong>order of the questions<\/strong>:<\/p>\n<table>\n<tbody>\n<tr>\n<td><strong>Criterion<\/strong><\/td>\n<td><strong>Traditional approach<\/strong><\/td>\n<td><strong>AI First thinking<\/strong><\/td>\n<\/tr>\n<tr>\n<td><strong>Starting point<\/strong><\/td>\n<td>&#8220;Who can do this?&#8221;<\/td>\n<td>&#8220;Can AI do it? What does it need from us?&#8221;<\/td>\n<\/tr>\n<tr>\n<td><strong>Who builds tools<\/strong><\/td>\n<td>Technical profiles only<\/td>\n<td>Anyone who can describe the problem well<\/td>\n<\/tr>\n<tr>\n<td><strong>Cost of testing an idea<\/strong><\/td>\n<td>High: budget, supplier, project<\/td>\n<td>Marginal: prototyped and validated before investing<\/td>\n<\/tr>\n<tr>\n<td><strong>Team&#8217;s role<\/strong><\/td>\n<td>Executing tasks<\/td>\n<td>Setting criteria, reviewing and deciding<\/td>\n<\/tr>\n<tr>\n<td><strong>AI is&hellip;<\/strong><\/td>\n<td>Just another tool in the stack<\/td>\n<td>The first employee the task gets assigned to<\/td>\n<\/tr>\n<tr>\n<td><strong>Success metric<\/strong><\/td>\n<td>How much money is saved<\/td>\n<td>What was previously impossible that&#8217;s now possible<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>The practical consequence of <strong>AI First thinking<\/strong> is that small ideas stop being dismissed for lack of resources. When building a prototype costs little, many more things get tried, and that culture of experimentation is what later gets passed on to clients. Stanford&#8217;s own <a href=\"https:\/\/hai.stanford.edu\/news\/ai-index-2025-state-of-ai-in-10-charts\" target=\"_blank\" rel=\"noreferrer noopener\">AI Index 2025<\/a> confirms the underlying trend: the use of generative AI in at least one business function went from <strong>33% in 2023 to 71% in 2024<\/strong>, a rate of adoption no previous business technology had reached in a single year.<\/p>\n<h2>How an AI First consultancy works on the inside<\/h2>\n<p><strong>An AI First consultancy<\/strong> is recognised by a trait that&#8217;s awkward to fake: it uses AI in its own processes before recommending it elsewhere. Internal consistency is the proof of credibility &mdash; in English it&#8217;s called <em>eating your own dog food<\/em>: consuming what you sell.<\/p>\n<p>In practice, this translates into three observable behaviours:<\/p>\n<ul>\n<li><strong>Internal processes are automated first.<\/strong> Reports, data analysis, content and in-house tools are handled with AI agents before hiring someone or commissioning custom development is even considered.<\/li>\n<li><strong>Natural language replaces technical specification.<\/strong> Briefs are written the way you&#8217;d explain the problem to a colleague; AI acts as the bridge to code. This approach is known as <strong>vibe coding<\/strong>, a term coined by <a href=\"https:\/\/en.wikipedia.org\/wiki\/Vibe_coding\" target=\"_blank\" rel=\"noreferrer noopener\">Andrej Karpathy<\/a> &mdash; OpenAI co-founder and former director of AI at Tesla &mdash; in a post on X on 2 February 2025, also named 2025 word of the year by the Collins dictionary. Karpathy described it as going with the flow of generated code without reviewing it line by line; in a professional context, that idea translates into describing the problem well and letting AI write a first version that a person then oversees and corrects.<\/li>\n<li><strong>The whole team builds, not just the technical staff.<\/strong> In an AI First company, knowing how to frame a problem well is worth as much as knowing how to code it.<\/li>\n<\/ul>\n<h2>A real case: El Mundial de Cronuts<\/h2>\n<p><strong>El Mundial de Cronuts<\/strong> is the internal demonstration of our <strong>AI First thinking<\/strong>: a complete web application for the team&#8217;s World Cup 2026 sweepstake, built with generative AI from start to finish. We could have used a shared spreadsheet. We decided to do it the way we do everything: by describing what we wanted and building it with AI.<\/p>\n<h3>The process: from a PDF and a set of rules to an app in production<\/h3>\n<p>The process started from just two inputs, neither of them technical:<\/p>\n<ol>\n<li><strong>FIFA&#8217;s official schedule:<\/strong> a PDF with the tournament&#8217;s <strong>104 matches<\/strong>.<\/li>\n<li><strong>Our points rules,<\/strong> written in natural language, the way you&#8217;d explain it to a friend.<\/li>\n<\/ol>\n<p>With <a href=\"https:\/\/www.anthropic.com\/claude-code\" target=\"_blank\" rel=\"noreferrer noopener\">Claude Code, Anthropic&#8217;s coding agent<\/a>, those two documents became a real application: a web interface in <strong>React<\/strong>, a real-time database in <strong>Firebase<\/strong> and cloud deployment with <em>serverless<\/em> functions. We then connected it to the official results API (<a href=\"https:\/\/www.football-data.org\/\" target=\"_blank\" rel=\"noreferrer noopener\">football-data.org<\/a>): every match that finishes is imported automatically, recalculates each participant&#8217;s points and updates the ranking. The World Cup&#8217;s <strong>104 matches<\/strong>, in real time, with no one entering anything by hand.<\/p>\n<h3>La Gazzetta della Porra: AI-generated content every matchday<\/h3>\n<p>The app&#8217;s most celebrated feature isn&#8217;t technical, it&#8217;s cultural. <strong>La Gazzetta della Porra<\/strong> is an internal sports newspaper that an AI writes every matchday from the real standings data: a dramatic headline in the style of the sports press, player of the day, surprise of the round&hellip; and zero mercy for whoever&#8217;s at the bottom of the table.<\/p>\n<p>The result is that AI doesn&#8217;t just automate the sweepstake: it turns it into the team&#8217;s daily conversation. That&#8217;s the nuance that separates &#8220;using AI&#8221; from thinking <strong>AI First<\/strong> &mdash; technology in the service of something as human as ribbing each other over a sweepstake.<\/p>\n<h2>What a team learns when it builds with AI<\/h2>\n<p>Building internal products with AI is training in disguise. Every skill practised in <strong>El Mundial de Cronuts<\/strong> has a direct application in client projects:<\/p>\n<table>\n<tbody>\n<tr>\n<td><strong>Internal learning<\/strong><\/td>\n<td><strong>Application with clients<\/strong><\/td>\n<\/tr>\n<tr>\n<td><strong>Writing prompts that produce consistent results<\/strong><\/td>\n<td>Reliable AI content and automation systems<\/td>\n<\/tr>\n<tr>\n<td><strong>Connecting APIs and external data sources<\/strong><\/td>\n<td>Integrations between CRM, analytics and marketing tools<\/td>\n<\/tr>\n<tr>\n<td><strong>Designing agents that run on their own<\/strong><\/td>\n<td>Automating processes and reports with no manual intervention<\/td>\n<\/tr>\n<tr>\n<td><strong>Turning an idea into a usable product<\/strong><\/td>\n<td>Prototypes and MVPs to validate before investing<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>That&#8217;s why we call it the most cost-effective team building we&#8217;ve ever done: while the team competes over the sweepstake, they&#8217;re training exactly the capabilities we later apply in our <a href=\"https:\/\/cronuts.digital\/en\/ai-products\/\">AI products for businesses<\/a> and in our clients&#8217; <a href=\"https:\/\/cronuts.digital\/en\/seo-geo\/\">SEO and GEO positioning<\/a>.<\/p>\n<h2>How to apply AI First thinking in your company<\/h2>\n<p>Adopting an <strong>AI First<\/strong> approach doesn&#8217;t require a two-year transformation plan. These five steps replicate the process we follow internally:<\/p>\n<ol>\n<li><strong>Choose a small, real internal problem.<\/strong> Something the team puts up with or enjoys every day: a repetitive report, a missing tool, a World Cup sweepstake. Starting small lowers the risk and speeds up the first visible result.<\/li>\n<li><strong>Describe it in natural language.<\/strong> The brief is the new code: what you want, what rules it has, what data it uses. If you can explain it to a colleague, you can explain it to AI. The more specific the description, the more reliable the result.<\/li>\n<li><strong>Build it with an AI agent.<\/strong> Tools like Claude Code turn that description into working software that a human oversees and validates. The goal isn&#8217;t to eliminate human review, but to shift it from the code to validating the outcome.<\/li>\n<li><strong>Connect it to real data.<\/strong> An API, a database or a spreadsheet: the difference between a toy and a tool is that it feeds itself. Without real data, a prototype stays a demo.<\/li>\n<li><strong>Iterate on the team&#8217;s feedback.<\/strong> Every improvement is a short cycle: it&#8217;s requested, tested and adjusted. That&#8217;s how judgement gets trained, which is the one thing AI can&#8217;t supply.<\/li>\n<\/ol>\n<h2>Common mistakes when adopting an AI First approach<\/h2>\n<p>The most frequent mistakes when trying to be an <strong>AI First<\/strong> company are about approach, not technology:<\/p>\n<ul>\n<li><strong>Starting with the tool rather than the problem.<\/strong> Buying licences without deciding what they&#8217;ll be used to solve produces anecdotal use, not a change in culture.<\/li>\n<li><strong>Getting stuck in the eternal pilot.<\/strong> A prototype that never makes it into daily use generates neither learning nor trust. The risk is real and has been measured: according to the <a href=\"https:\/\/nanda.media.mit.edu\/ai_report_2025.pdf\" target=\"_blank\" rel=\"noreferrer noopener\">The GenAI Divide: State of AI in Business 2025<\/a> report, from MIT Media Lab (the NANDA initiative), <strong>95%<\/strong> of generative AI pilot projects in businesses fail to deliver a measurable impact on financial results, and only <strong>5%<\/strong> manage to become embedded in processes and generate real value.<\/li>\n<li><strong>Delegating AI to the technical department alone.<\/strong> The value of AI First thinking shows up when marketing, operations and management build too.<\/li>\n<li><strong>Measuring only savings.<\/strong> The interesting metric isn&#8217;t how much less it costs, but what was previously impossible that&#8217;s now possible.<\/li>\n<li><strong>Hiding the process.<\/strong> Showing how something is built &mdash; inputs, tools, limits &mdash; builds more trust than boasting about the result.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>What does it really mean to be an AI First consultancy? In this article, we open the doors of Cronuts Digital to show you how artificial intelligence isn&#8217;t a simple add-on, but the starting point of every process.<\/p>\n","protected":false},"author":7,"featured_media":73042,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[133],"tags":[],"class_list":["post-73006","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-growth"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v23.7 (Yoast SEO v28.3) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>AI First Consultancy: How It Works From the Inside<\/title>\n<meta name=\"description\" content=\"What an AI First consultancy is and how it works from the inside: the real case of an app built with AI at Cronuts Digital.\" \/>\n<meta name=\"robots\" content=\"index, follow, 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Dise\u00f1amos, ejecutamos y escalamos sistemas de crecimiento digital medibles para PYMEs y empresas B2B.\",\"email\":\"info@cronuts.digital\",\"telephone\":\"+34722525769\",\"legalName\":\"CRONUTS DIGITAL, S.L.\",\"foundingDate\":\"2018\",\"vatID\":\"B67049718\",\"taxID\":\"B67049718\",\"numberOfEmployees\":{\"@type\":\"QuantitativeValue\",\"minValue\":\"15\",\"maxValue\":\"20\"}},{\"@type\":\"Person\",\"@id\":\"https:\\\/\\\/cronuts.digital\\\/en\\\/#\\\/schema\\\/person\\\/4cc273d640585300bd5358761000218d\",\"name\":\"Sete Flores Olmos\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/3bb24c0887c521df7d323e3ea81d37555e57881db9b9f1e5f6e7f4086128413c?s=96&d=mm&r=g\",\"url\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/3bb24c0887c521df7d323e3ea81d37555e57881db9b9f1e5f6e7f4086128413c?s=96&d=mm&r=g\",\"contentUrl\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/3bb24c0887c521df7d323e3ea81d37555e57881db9b9f1e5f6e7f4086128413c?s=96&d=mm&r=g\",\"caption\":\"Sete Flores Olmos\"},\"description\":\"Jos\u00e9 Mar\u00eda (Sete) Flores Olmos, Growth Manager en Cronuts Digital y especialista en performance y growth marketing con 8 a\u00f1os de experiencia en estrategias digitales orientadas a rentabilidad. 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