{"id":22954,"date":"2026-09-14T21:34:24","date_gmt":"2026-09-14T21:34:24","guid":{"rendered":"https:\/\/speakcomm.ai\/?page_id=22954"},"modified":"2026-09-24T07:07:05","modified_gmt":"2026-09-24T07:07:05","slug":"why-do-artificial-intelligence-projects-fail-in-companies","status":"publish","type":"page","link":"https:\/\/speakcomm.ai\/en\/por-que-fracasan-proyectos-inteligencia-artificial-empresas\/","title":{"rendered":"Why do artificial intelligence projects fail in companies?"},"content":{"rendered":"<p><main class=\"audit-page resource-article-page\"><\/p>\n<header class=\"audit-header\"><a href=\"\/en\/\" aria-label=\"Return to the homepage\"><img fetchpriority=\"high\" decoding=\"async\" src=\"\/wp-content\/themes\/speakcomm-wordpress-theme\/assets\/brand\/speakcomm-imagotipo-web.png\" alt=\"SpeakComm\" width=\"900\" height=\"148\"><\/a><\/p>\n<nav aria-label=\"Main navigation\"><a href=\"\/en\/resources\/\">Resources<\/a><a href=\"\/en\/mira-audit\/\">MIRA Audit<\/a><a href=\"\/en\/mira-os\/\">MIRA OS<\/a><a href=\"\/en\/cases\/\">Cases<\/a><\/nav>\n<p><a class=\"audit-header-cta\" href=\"\/en\/#mira-scan\">Request an assessment<\/a><\/p>\n<details class=\"audit-mobile-menu\">\n<summary aria-label=\"Open menu\">\u2630<\/summary>\n<nav><a href=\"\/en\/resources\/\">Resources<\/a><a href=\"\/en\/mira-audit\/\">MIRA Audit<\/a><a href=\"\/en\/mira-os\/\">MIRA OS<\/a><a href=\"\/en\/cases\/\">Cases<\/a><\/nav>\n<\/details>\n<\/header>\n<article>\n<div class=\"article-page\">\n<section class=\"article-hero\">\n<div class=\"container\">\n<a class=\"article-back\" href=\"\/en\/resources\/\">\u2190 All resources<\/a><\/p>\n<p class=\"eyebrow\">ARTIFICIAL INTELLIGENCE \u00b7 READING TIME: 7 MIN<\/p>\n<h1>Why do artificial intelligence projects fail in companies?<\/h1>\n<p class=\"article-byline\">By <a href=\"\/en\/about-me\/\">Macarena Quijada<\/a> \u00b7 <time datetime=\"2026-09\">September 2026<\/time><\/p>\n<p class=\"article-lead\">Technology can work perfectly and still not produce any useful change in the company. The problem usually arises much earlier: when a tool is chosen without understanding what it&#039;s meant to solve or how it will be integrated into actual work.<\/p>\n<\/div>\n<\/section>\n<nav class=\"article-toc container\" aria-label=\"Article content\">\n<p class=\"eyebrow\">IN THIS ANSWER<\/p>\n<p><a href=\"#respuesta\">The short answer<\/a><a href=\"#por-que\">Why they fail<\/a><a href=\"#implantar\">How to implement it successfully<\/a><a href=\"#senales\">Warning signs<\/a><a href=\"#comprobar\">What to check<\/a><a href=\"#preguntas\">Frequently Asked Questions<\/a><\/nav>\n<section id=\"respuesta\" class=\"article-direct\">\n<div class=\"container\">\n<p class=\"eyebrow\">THE SHORT ANSWER<\/p>\n<p><strong>Artificial intelligence projects fail when the technology is chosen before understanding the problem, processes are not reviewed, and the change is communicated to the team only after it has been decided.<\/strong> For AI to produce results, the company, the implementation, and the people must work together simultaneously.<\/p>\n<\/div>\n<\/section>\n<section id=\"por-que\" class=\"article-section\">\n<div class=\"container article-copy\"><span class=\"section-number\">01<\/span><\/p>\n<h2>The shiny object syndrome<\/h2>\n<p>Artificial intelligence opens up real possibilities, but it also makes getting started with the tool itself much easier. A new product appears, a license is purchased, or a task is automated because it seems simple enough. Then the challenge is finding a place for it.<\/p>\n<p>That kind of order often comes at a high price. If the process is already poorly designed, the information is unreliable, or no one has defined the expected outcome, technology accelerates the chaos. Automation alone doesn&#039;t correct unclear responsibilities, decisions that always depend on the manager, or data that everyone records differently.<\/p>\n<div class=\"article-highlight\"><strong>The problem is almost never just the technology.<\/strong> The question is not &quot;where can we put AI?&quot;, but &quot;what problem do we need to solve and what part can actually be improved with technology?&quot;.<\/div>\n<\/div>\n<\/section>\n<section id=\"implantar\" class=\"article-section section-soft\">\n<div class=\"container\"><span class=\"section-number\">02<\/span><\/p>\n<h2>Three elements that must move forward together<\/h2>\n<div class=\"article-grid three\">\n<article>\n<p class=\"eyebrow\">COMPANY<\/p>\n<h3>A well-defined problem<\/h3>\n<p>It is necessary to understand the current process, the cause of the problem, its impact, and the outcome that the business needs.<\/p>\n<\/article>\n<article>\n<p class=\"eyebrow\">IMPLEMENTATION<\/p>\n<h3>A new way of working<\/h3>\n<p>The solution needs responsible parties, data, rules, training, communication, monitoring, and indicators.<\/p>\n<\/article>\n<article>\n<p class=\"eyebrow\">PEOPLE<\/p>\n<h3>A team capable of using it<\/h3>\n<p>Those who will be working with the change must understand it, participate in it, and have support until it is incorporated into their daily lives.<\/p>\n<\/article>\n<\/div>\n<p class=\"article-pullquote\">The technology may work perfectly, and yet the implementation may still fail.<\/p>\n<p>A BCG study indicates that 74% of companies had not yet managed to show tangible value with AI and places around 70% of the difficulties in people and processes, compared to 20% in technology and data and 10% in algorithms. <a href=\"https:\/\/www.bcg.com\/press\/24october2024-ai-adoption-in-2024-74-of-companies-struggle-to-achieve-and-scale-value\" target=\"_blank\" rel=\"noopener\">Consult the BCG source<\/a>.<\/p>\n<\/div>\n<\/section>\n<section id=\"senales\" class=\"article-section\">\n<div class=\"container\"><span class=\"section-number\">03<\/span><\/p>\n<h2>Four signs that implementation is at risk<\/h2>\n<div class=\"article-grid two\">\n<article>\n<h3>The areas work in silos<\/h3>\n<p>Each team optimizes its part, but nobody checks what happens from beginning to end.<\/p>\n<\/article>\n<article>\n<h3>The information arrives late<\/h3>\n<p>The tool relies on incomplete, duplicate, or distributed data across multiple systems.<\/p>\n<\/article>\n<article>\n<h3>Decisions take forever<\/h3>\n<p>It is unclear who validates, what each person can decide, or how exceptions are resolved.<\/p>\n<\/article>\n<article>\n<h3>Technology feels like a burden<\/h3>\n<p>The team receives the solution without context, training, or space to express doubts and real risks.<\/p>\n<\/article>\n<\/div>\n<p>Resistance isn&#039;t always a matter of attitude. A survey by Writer and Workplace Intelligence indicates that 31% of employees admit to having sabotaged their company&#039;s AI strategy, for example, by rejecting the tools or their results. This is a sign that implementation requires leadership, trust, and dialogue, not just instructions. <a href=\"https:\/\/writer.com\/blog\/enterprise-ai-adoption-survey-press-release\/\" target=\"_blank\" rel=\"noopener\">Consult the study<\/a>.<\/p>\n<\/div>\n<\/section>\n<section class=\"article-section section-dark\">\n<div class=\"container\">\n<p class=\"eyebrow\">AI + IE TO LEAD CHANGE<\/p>\n<h2>Artificial intelligence needs emotional intelligence<\/h2>\n<p>In this workshop, we explore how to move from knowing about AI to implementing it in practice: understanding the company, diagnosing before acting and supporting the people who will turn the solution into a new way of working.<\/p>\n<div class=\"video-responsive\"><iframe src=\"https:\/\/www.youtube-nocookie.com\/embed\/oWKH4c2N1NQ\" title=\"Summary of the AI + IE workshop for Leading Change\" loading=\"lazy\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" allowfullscreen><\/iframe><\/div>\n<\/div>\n<\/section>\n<section id=\"comprobar\" class=\"article-section\">\n<div class=\"container\"><span class=\"section-number\">04<\/span><\/p>\n<h2>What to check before implementing AI<\/h2>\n<ul class=\"check-list\">\n<li>Is the problem we want to solve clearly defined?<\/li>\n<li>Do we know how the entire process works today?<\/li>\n<li>Does the necessary information exist and is it reliable?<\/li>\n<li>Do we know what result we expect and how we will measure it?<\/li>\n<li>Do the affected people understand what will change and why?<\/li>\n<li>Is there a communication, training, and follow-up plan?<\/li>\n<\/ul>\n<p>If several answers are &quot;no,&quot; you don&#039;t need another tool yet. You need to prepare for implementation so that the investment can translate into real results.<\/p>\n<\/div>\n<\/section>\n<section id=\"preguntas\" class=\"article-faq\">\n<div class=\"container\">\n<p class=\"eyebrow\">Frequently Asked Questions<\/p>\n<h2>Common questions before implementing artificial intelligence<\/h2>\n<details open>\n<summary>Where should a small business start when using artificial intelligence?<\/summary>\n<p>For a specific problem that impacts time, errors, costs, capacity, or customer service. First, you have to understand its cause and the entire process; then you decide if AI is the best solution and where it adds value.<\/p>\n<\/details>\n<details>\n<summary>How to prevent the team from rejecting a new AI tool?<\/summary>\n<p>Involve them before making any decisions, explaining what problem you want to solve and how it will affect their work. Communication, training, and support should be part of the project from the very beginning.<\/p>\n<\/details>\n<details>\n<summary>How do I know if an AI project is working?<\/summary>\n<p>Measuring the agreed-upon business outcome before implementation: reduction in time, errors, or costs; increased capacity; improved margin or service. Simply using the tool does not demonstrate that the company has improved.<\/p>\n<\/details>\n<\/div>\n<\/section>\n<section class=\"article-cta\">\n<div class=\"container\">\n<p class=\"eyebrow\">BEFORE CHOOSING THE TOOL<\/p>\n<h2>Discover what your company needs to change first.<\/h2>\n<p>Select the situations you recognize in yourself and we&#039;ll see where it&#039;s worth starting.<\/p>\n<p><a class=\"button button-primary\" href=\"\/en\/#mira-scan\">I want to know where to start.<\/a><\/div>\n<\/section>\n<\/div>\n<\/article>\n<footer class=\"audit-site-footer\">\n<div class=\"audit-site-footer-main\"><img loading=\"lazy\" decoding=\"async\" src=\"\/wp-content\/themes\/speakcomm-wordpress-theme\/assets\/brand\/speakcomm-imagotipo-web.png\" alt=\"SpeakComm\" width=\"900\" height=\"148\"><\/p>\n<div class=\"audit-site-footer-contact\"><a href=\"https:\/\/www.linkedin.com\/in\/macarena-quijada-braojos\" target=\"_blank\" rel=\"noreferrer\">LinkedIn<\/a><a href=\"https:\/\/www.instagram.com\/macarena_speak\/\" target=\"_blank\" rel=\"noreferrer\">Instagram<\/a><a href=\"mailto:macarena@speakcomm.ai\">macarena@speakcomm.ai<\/a><a href=\"https:\/\/wa.me\/34684700116\" target=\"_blank\" rel=\"noreferrer\">WhatsApp<\/a><\/div>\n<\/div>\n<div class=\"audit-site-footer-legal\"><span>\u00a9 2026 SpeakComm<\/span><\/p>\n<nav aria-label=\"Legal information\"><a href=\"\/en\/legal-notice\/\">Legal notice<\/a><a href=\"\/en\/privacy-policy\/\">Privacy<\/a><a href=\"\/en\/cookie-policy\/\">Cookies<\/a><button type=\"button\">Configure cookies<\/button><\/nav>\n<\/div>\n<\/footer>\n<p><\/main><\/p>","protected":false},"excerpt":{"rendered":"<p>RecursosMIRA AuditMIRA OSCasos Solicitar una valoraci\u00f3n \u2630 RecursosMIRA AuditMIRA OSCasos \u2190 Todos los recursos INTELIGENCIA ARTIFICIAL \u00b7 LECTURA: 7 MIN \u00bfPor qu\u00e9 fracasan los proyectos de inteligencia artificial en las empresas? Por Macarena Quijada \u00b7 Septiembre de 2026 La tecnolog\u00eda puede funcionar perfectamente y, aun as\u00ed, no producir ning\u00fan cambio \u00fatil en la empresa. El [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-22954","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>\u00bfPor qu\u00e9 fracasan los proyectos de inteligencia artificial en las empresas? - Speakcomm<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/speakcomm.ai\/en\/why-do-artificial-intelligence-projects-fail-in-companies\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u00bfPor qu\u00e9 fracasan los proyectos de inteligencia artificial en las empresas? - Speakcomm\" \/>\n<meta property=\"og:description\" content=\"RecursosMIRA AuditMIRA OSCasos Solicitar una valoraci\u00f3n \u2630 RecursosMIRA AuditMIRA OSCasos \u2190 Todos los recursos INTELIGENCIA ARTIFICIAL \u00b7 LECTURA: 7 MIN \u00bfPor qu\u00e9 fracasan los proyectos de inteligencia artificial en las empresas? 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