{"id":32142,"date":"2026-08-21T14:01:00","date_gmt":"2026-08-21T14:01:00","guid":{"rendered":"https:\/\/thecloud.group\/?p=32142"},"modified":"2026-08-17T20:01:56","modified_gmt":"2026-08-17T20:01:56","slug":"ai-agents-are-not-digital-employees","status":"publish","type":"post","link":"https:\/\/thecloud.group\/en\/agentes-ia-no-son-empleados-digitales\/","title":{"rendered":"AI agents are not digital employees"},"content":{"rendered":"<div data-elementor-type=\"wp-post\" data-elementor-id=\"32142\" class=\"elementor elementor-32142\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-cfd484e elementor-section-stretched elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"cfd484e\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;stretch_section&quot;:&quot;section-stretched&quot;,&quot;background_background&quot;:&quot;classic&quot;,&quot;shape_divider_bottom&quot;:&quot;tilt&quot;}\">\n\t\t\t\t\t\t\t<div class=\"elementor-background-overlay\"><\/div>\n\t\t\t\t\t\t<div class=\"elementor-shape elementor-shape-bottom\" aria-hidden=\"true\" data-negative=\"false\">\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewbox=\"0 0 1000 100\" preserveaspectratio=\"none\">\n\t<path class=\"elementor-shape-fill\" d=\"M0,6V0h1000v100L0,6z\"\/>\n<\/svg>\t\t<\/div>\n\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-64f4c56\" data-id=\"64f4c56\" data-element_type=\"column\" data-e-type=\"column\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-72fca4b elementor-hidden-mobile elementor-widget elementor-widget-image\" data-id=\"72fca4b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/thecloud.group\/wp-content\/uploads\/elementor\/thumbs\/logo-pd8scx7e21qrxkwrdlcuh7c8eeq4vmzqsjri81k6ps.png\" title=\"logo\" alt=\"logo\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-a76af51 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"a76af51\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-inner-column elementor-element elementor-element-cf15d65\" data-id=\"cf15d65\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-e993978 elementor-widget elementor-widget-heading\" data-id=\"e993978\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\">AI agents are not digital employees<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c047b73 elementor-widget elementor-widget-heading\" data-id=\"c047b73\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\">August 21, 2026<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t<div class=\"elementor-element elementor-element-43acffb e-flex e-con-boxed e-con e-parent\" data-id=\"43acffb\" 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-a5b2d83 elementor-widget elementor-widget-text-editor\" data-id=\"a5b2d83\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>An artificial intelligence agent is not a digital employee: it is probabilistic software with access to tools and permissions. The difference is not semantic. An employee has judgment, accumulated context, legal responsibility, and the ability to say, &quot;This doesn&#039;t add up, I&#039;ll ask.&quot; An agent has a goal, a set of available actions, and a probability of being right.<\/p><p>The employee metaphor has become prevalent because it sells. And it sells because it allows you to compare the price of a license with the cost of a payroll, which is the most favorable comparison you can make. The problem arises when this metaphor moves from the sales pitch to the system design, because then you design as if there were judgment where there is only probability.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ae9189b elementor-widget elementor-widget-heading\" data-id=\"ae9189b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">What exactly is an agent and how does it differ from a chatbot?<\/h2>\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<div class=\"elementor-element elementor-element-4ec25a0 e-flex e-con-boxed e-con e-parent\" data-id=\"4ec25a0\" 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-ca71b17 elementor-widget elementor-widget-text-editor\" data-id=\"ca71b17\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>A chatbot responds. An agent acts. That&#039;s the whole difference, and it&#039;s huge.<\/p><p>When a model generates text, the worst possible outcome is an incorrect response that someone reads. When a model can perform actions\u2014create an order, issue a refund, modify a record, send an email to a customer\u2014the worst possible outcome is an incorrect action that has already occurred and needs to be undone.<\/p><p>An agent consists of four elements, and it is advisable to be able to name all four of them before approving any of them:<\/p><ul><li><strong>One objective<\/strong>: what he is asked to achieve.<\/li><li><strong>A set of tools<\/strong>: what actions it can perform and on which systems.<\/li><li><strong>A set of permissions<\/strong>: what data you can see and what operations you can perform, and with what identity.<\/li><li><strong>A control mechanism<\/strong>: what is recorded, what requires human validation, and how it is reversed.<\/li><\/ul><p>The first three are usually defined. The fourth is the one that is missing in most of the projects we audit, and it is the one that determines whether the agent is an asset or a liability.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-682fefc elementor-widget elementor-widget-heading\" data-id=\"682fefc\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">The market is already correcting expectations<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d294403 elementor-widget elementor-widget-text-editor\" data-id=\"d294403\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>McKinsey&#039;s 2025 survey found that 62.1% of organizations were experimenting with agents, but only 23.1% had scaled them in at least one function. The gap between these two figures is the subject of this article.<\/p><p>Gartner was more direct in June 2025: it predicts that <strong>More than 40% of agentic AI projects will be canceled before the end of 2027<\/strong>, This is due to rising costs, unclear business value, or inadequate risk controls. In the same analysis, Anushree Verma, senior director of analysis at the firm, estimated that of the thousands of suppliers presenting themselves as agent specialists, only around 130 truly are. The rest were dubbed with a term that should be added to the vocabulary of any purchasing committee: *agent washing*.<\/p><p>This is not a statistic against the agents. It is a statistic about what separates the projects that survive from those that don&#039;t: projected costs, defined value, and designed risk controls.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6089f4e elementor-widget elementor-widget-heading\" data-id=\"6089f4e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">What is lost when an agent is called an &quot;employee&quot;<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ba56743 elementor-widget elementor-widget-text-editor\" data-id=\"ba56743\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<table width=\"600\"><thead><tr><td width=\"200\"><p><strong>Attribute<\/strong><\/p><\/td><td width=\"200\"><p><strong>Employee<\/strong><\/p><\/td><td width=\"200\"><p><strong>AI Agent<\/strong><\/p><\/td><\/tr><\/thead><tbody><tr><td width=\"200\"><p><strong>Legal responsibility<\/strong><\/p><\/td><td width=\"200\"><p>Own, within the labor framework<\/p><\/td><td width=\"200\"><p>From the company that deploys it, always<\/p><\/td><\/tr><tr><td width=\"200\"><p><strong>Judgment in the face of the unexpected<\/strong><\/p><\/td><td width=\"200\"><p>He recognizes that something doesn&#039;t fit and asks<\/p><\/td><td width=\"200\"><p>Complete the task with the information you have.<\/p><\/td><\/tr><tr><td width=\"200\"><p><strong>Accumulated context<\/strong><\/p><\/td><td width=\"200\"><p>Years of tacit knowledge of the company<\/p><\/td><td width=\"200\"><p>Only what is provided to you in each execution<\/p><\/td><\/tr><tr><td width=\"200\"><p><strong>Traceability<\/strong><\/p><\/td><td width=\"200\"><p>Reconstructible through conversation<\/p><\/td><td width=\"200\"><p>It only exists if the record was designed.<\/p><\/td><\/tr><tr><td width=\"200\"><p><strong>Cost of a mistake<\/strong><\/p><\/td><td width=\"200\"><p>Limited and detectable<\/p><\/td><td width=\"200\"><p>Scalable: repeats the same mistake thousands of times<\/p><\/td><\/tr><\/tbody><\/table>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d683c52 elementor-widget elementor-widget-text-editor\" data-id=\"d683c52\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>The line between legal responsibility and liability is no longer theoretical. In the case of *Moffatt v. Air Canada*, decided in 2024 by the British Columbia civil court, the airline argued that its chatbot was a separate entity responsible for its own statements. The court called this argument remarkable\u2014in the worst sense\u2014and ordered the company to compensate the customer for the erroneous information provided by the system.<\/p><p>The operational conclusion is simple: the company is responsible for what its software says and does. Always. There is no delegation architecture that transfers that responsibility to the model provider.<\/p><p>The cost of error is the row that committees most underestimate. An employee who misinterprets a policy applies that error to every case they handle in a day. An agent applies it to every case until someone catches it. Scale, which is the selling point, is also the risk multiplier.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-544ed85 elementor-widget elementor-widget-heading\" data-id=\"544ed85\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">What the agents do well<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-da91096 elementor-widget elementor-widget-text-editor\" data-id=\"da91096\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>It would be absurd to write this article from a defensive position. Agents solve problems that previously had no good solution, and these are the patterns where they consistently perform well:<\/p><p><strong>Tasks with ambiguous language and structure.<\/strong> Reading fifty emails from suppliers, extracting the order number and the promised date, and entering it into a system. Previously, this required rigid rules or manual work.<\/p><p><strong>Orchestration between systems that do not communicate.<\/strong> Consult three sources, cross-reference them, and propose a course of action. The agent does not replace integration, but it reduces friction when full integration is not cost-effective.<\/p><p><strong>First level of classification and routing.<\/strong> Decide which queue an incident goes to, what priority it has, and what information is missing to resolve it.<\/p><p><strong>Preparing decisions, not executing decisions.<\/strong> The most profitable model we&#039;ve seen: the agent gathers, compares, and proposes; the person approves. The savings are in the preparation, which is where the 80% of time was.<\/p><p>Note that in all four cases the agent operates within a defined process. None of them operates on a process that no one has mapped, for the same reason we explained when discussing <u><a href=\"https:\/\/thecloud.group\/en\/ai-doesnt-fix-a-poorly-designed-company\/\">Why AI can&#039;t fix a poorly designed company<\/a><\/u><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-56af6f7 elementor-widget elementor-widget-heading\" data-id=\"56af6f7\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">The right vocabulary changes decisions<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-fd66765 elementor-widget elementor-widget-text-editor\" data-id=\"fd66765\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>We propose replacing &quot;digital employee&quot; with <strong>supervised automated capacity<\/strong>. It&#039;s uglier and less marketable, and it describes exactly what you&#039;re buying.<\/p><p>Changing the vocabulary changes the questions asked in the meeting. No one asks a &quot;digital employee&quot; what their maximum scope of action is, because employees don&#039;t have a maximum scope of action defined in a document. An automated capability, however, is asked:<\/p><ol><li>What exactly can he do, and what can&#039;t he do under any circumstances?<\/li><li>What identity do you use to access the systems, and who granted those permissions?<\/li><li>What is recorded from each execution and for how long?<\/li><li>Which decisions require human validation before being implemented?<\/li><li>How do you reverse an incorrect action and how long does it take?<\/li><li>Who, by name and surname, is responsible for the result of this agent?<\/li><\/ol><p>A project that can answer all six questions is production-ready. One that cannot answer three or more is not ready, regardless of how well the demo performs.<\/p><p>The issue of identity and permissions deserves its own treatment, because that is where the real risk lies: we have developed it in <u><a href=\"https:\/\/thecloud.group\/en\/non-human-identities-ai-agents-cybersecurity\/\">non-human identities, AI agents, and cybersecurity<\/a><\/u> <\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c79eaf3 elementor-widget elementor-widget-heading\" data-id=\"c79eaf3\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">The question that needs to be taken to the committee<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-532d5f3 elementor-widget elementor-widget-text-editor\" data-id=\"532d5f3\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>When someone proposes deploying an agent, the useful question isn&#039;t what it can do. It&#039;s <strong>What happens the day he makes a mistake?<\/strong>, Because it will make mistakes: it is probabilistic software and that is in its nature, not its quality.<\/p><p>If the response includes a complete record of what happened, a reversal mechanism, an identified responsible party, and clear limits on action, the project is well-designed. If the response is that it won&#039;t go wrong because the model is so good, what&#039;s being purchased isn&#039;t a system: it&#039;s an expectation.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-acd5249 elementor-widget elementor-widget-heading\" data-id=\"acd5249\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Frequently Asked Questions<\/h2>\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<div class=\"elementor-element elementor-element-0bafad2 e-flex e-con-boxed e-con e-parent\" data-id=\"0bafad2\" 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-255e77a elementor-widget elementor-widget-n-accordion\" data-id=\"255e77a\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;default_state&quot;:&quot;expanded&quot;,&quot;max_items_expended&quot;:&quot;one&quot;,&quot;n_accordion_animation_duration&quot;:{&quot;unit&quot;:&quot;ms&quot;,&quot;size&quot;:400,&quot;sizes&quot;:[]}}\" data-widget_type=\"nested-accordion.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"e-n-accordion\" aria-label=\"Accordion. Open links with Enter or Space, close with Escape, and navigate with Arrow Keys\">\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-3910\" class=\"e-n-accordion-item\" open>\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"1\" tabindex=\"0\" aria-expanded=\"true\" aria-controls=\"e-n-accordion-item-3910\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><div class=\"e-n-accordion-item-title-text\"> What is an AI agent and how does it differ from a chatbot? <\/div><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><i aria-hidden=\"true\" class=\"fas fa-minus\"><\/i><\/span>\n\t\t\t<span class='e-closed'><i aria-hidden=\"true\" class=\"fas fa-plus\"><\/i><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-3910\" class=\"elementor-element elementor-element-5b9195b e-con-full e-flex e-con e-child\" data-id=\"5b9195b\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-128178a elementor-widget elementor-widget-text-editor\" data-id=\"128178a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>A chatbot responds with text; an agent executes actions on real systems. An agent consists of a goal, a set of tools, a set of permissions, and a control mechanism. The difference is critical: a chatbot&#039;s worst mistake is an incorrect response, while an agent&#039;s worst mistake is an incorrect action that has already been performed.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-3911\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"2\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-3911\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><div class=\"e-n-accordion-item-title-text\"> Why is it incorrect to call an AI agent a &quot;digital employee&quot;? <\/div><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><i aria-hidden=\"true\" class=\"fas fa-minus\"><\/i><\/span>\n\t\t\t<span class='e-closed'><i aria-hidden=\"true\" class=\"fas fa-plus\"><\/i><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-3911\" class=\"elementor-element elementor-element-0fc0d7e e-con-full e-flex e-con e-child\" data-id=\"0fc0d7e\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-fff5b06 elementor-widget elementor-widget-text-editor\" data-id=\"fff5b06\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Because it attributes judgment, accumulated context, and personal responsibility to a system that lacks them. An agent completes the task with the available information even if context is missing, fails to recognize when something doesn&#039;t fit, and repeats the same mistake on a large scale until someone detects it.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-3912\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"3\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-3912\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><div class=\"e-n-accordion-item-title-text\"> Who is legally responsible for the errors of an AI agent? <\/div><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><i aria-hidden=\"true\" class=\"fas fa-minus\"><\/i><\/span>\n\t\t\t<span class='e-closed'><i aria-hidden=\"true\" class=\"fas fa-plus\"><\/i><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-3912\" class=\"elementor-element elementor-element-1872c91 e-con-full e-flex e-con e-child\" data-id=\"1872c91\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-64a1d1a elementor-widget elementor-widget-text-editor\" data-id=\"64a1d1a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>The company that deploys it. In the case of Moffatt v. Air Canada (2024), the court rejected the argument that the chatbot was an entity responsible for its own statements and ordered the airline to compensate the customer for the system&#039;s erroneous information.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-3913\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"4\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-3913\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><div class=\"e-n-accordion-item-title-text\"> What percentage of AI agent projects reach production? <\/div><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><i aria-hidden=\"true\" class=\"fas fa-minus\"><\/i><\/span>\n\t\t\t<span class='e-closed'><i aria-hidden=\"true\" class=\"fas fa-plus\"><\/i><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-3913\" class=\"elementor-element elementor-element-69dc4e1 e-con-full e-flex e-con e-child\" data-id=\"69dc4e1\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-770ee8f elementor-widget elementor-widget-text-editor\" data-id=\"770ee8f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>According to McKinsey (2025), 62.1% of organizations are experimenting with agents, but only 23.1% have scaled them in any function. Gartner predicts that more than 40.1% of agentic AI projects will be canceled before the end of 2027 due to costs, unclear value, or insufficient risk controls.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-3914\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"5\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-3914\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><div class=\"e-n-accordion-item-title-text\"> What tasks do AI agents perform well in? <\/div><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><i aria-hidden=\"true\" class=\"fas fa-minus\"><\/i><\/span>\n\t\t\t<span class='e-closed'><i aria-hidden=\"true\" class=\"fas fa-plus\"><\/i><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-3914\" class=\"elementor-element elementor-element-394892d e-con-full e-flex e-con e-child\" data-id=\"394892d\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6b896dc elementor-widget elementor-widget-text-editor\" data-id=\"6b896dc\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>In tasks with ambiguous language and structure (extracting information from emails or documents), in orchestration between systems that do not communicate, in classification and routing of incidents, and above all in preparing decisions that are later validated by a person.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-3915\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"6\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-3915\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><div class=\"e-n-accordion-item-title-text\"> What requirements must be met before deploying an agent into production? <\/div><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><i aria-hidden=\"true\" class=\"fas fa-minus\"><\/i><\/span>\n\t\t\t<span class='e-closed'><i aria-hidden=\"true\" class=\"fas fa-plus\"><\/i><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-3915\" class=\"elementor-element elementor-element-b0eb544 e-con-full e-flex e-con e-child\" data-id=\"b0eb544\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-aa43162 elementor-widget elementor-widget-text-editor\" data-id=\"aa43162\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Being able to answer six questions: what can and cannot be done, with what identity accesses the systems, what is recorded of each execution, what decisions require human validation, how an incorrect action is reversed, and who is responsible for the result.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-62494f1 elementor-widget elementor-widget-text-editor\" data-id=\"62494f1\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<table width=\"600\"><tbody><tr><td width=\"600\"><p><strong>Are you evaluating an agent project?<\/strong> We analyze the use case, permissions model, and risk controls before it becomes a deployment that&#039;s difficult to reverse. Two hours of consulting, no obligation. <u><a href=\"https:\/\/thecloud.group\/en\/artificial-intelligence\/\">Let&#039;s talk \u2192<\/a><\/u><\/p><\/td><\/tr><\/tbody><\/table>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-2776e2f e-con-full e-flex e-con e-child\" data-id=\"2776e2f\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-313fb2f elementor-widget elementor-widget-image\" data-id=\"313fb2f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"800\" height=\"800\" src=\"https:\/\/thecloud.group\/wp-content\/uploads\/2026\/08\/Robot_chatbot_wearing_headset_202608171500.jpeg\" class=\"elementor-animation-hang attachment-large size-large wp-image-32144\" alt=\"Artificial Intelligence agents integrated into business processes and systems\" srcset=\"https:\/\/thecloud.group\/wp-content\/uploads\/2026\/08\/Robot_chatbot_wearing_headset_202608171500.jpeg 1024w, https:\/\/thecloud.group\/wp-content\/uploads\/2026\/08\/Robot_chatbot_wearing_headset_202608171500-300x300.jpeg 300w, https:\/\/thecloud.group\/wp-content\/uploads\/2026\/08\/Robot_chatbot_wearing_headset_202608171500-150x150.jpeg 150w, https:\/\/thecloud.group\/wp-content\/uploads\/2026\/08\/Robot_chatbot_wearing_headset_202608171500-768x768.jpeg 768w, https:\/\/thecloud.group\/wp-content\/uploads\/2026\/08\/Robot_chatbot_wearing_headset_202608171500-12x12.jpeg 12w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5d096db elementor-widget elementor-widget-image\" data-id=\"5d096db\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"800\" height=\"800\" src=\"https:\/\/thecloud.group\/wp-content\/uploads\/2026\/08\/Cubes_stuck_on_conveyor_belt_202608171448.jpeg\" class=\"elementor-animation-hang attachment-large size-large wp-image-32138\" alt=\"\" srcset=\"https:\/\/thecloud.group\/wp-content\/uploads\/2026\/08\/Cubes_stuck_on_conveyor_belt_202608171448.jpeg 1024w, https:\/\/thecloud.group\/wp-content\/uploads\/2026\/08\/Cubes_stuck_on_conveyor_belt_202608171448-300x300.jpeg 300w, https:\/\/thecloud.group\/wp-content\/uploads\/2026\/08\/Cubes_stuck_on_conveyor_belt_202608171448-150x150.jpeg 150w, https:\/\/thecloud.group\/wp-content\/uploads\/2026\/08\/Cubes_stuck_on_conveyor_belt_202608171448-768x768.jpeg 768w, https:\/\/thecloud.group\/wp-content\/uploads\/2026\/08\/Cubes_stuck_on_conveyor_belt_202608171448-12x12.jpeg 12w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f22134d elementor-widget elementor-widget-image\" data-id=\"f22134d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"800\" height=\"800\" src=\"https:\/\/thecloud.group\/wp-content\/uploads\/2026\/08\/Company_breaking_vendor_lock-in_202608051310.jpeg\" class=\"elementor-animation-hang attachment-large size-large wp-image-32047\" alt=\"Company strengthening its digital sovereignty through Artificial Intelligence, open technological architecture and integration of business platforms.\" srcset=\"https:\/\/thecloud.group\/wp-content\/uploads\/2026\/08\/Company_breaking_vendor_lock-in_202608051310.jpeg 1024w, https:\/\/thecloud.group\/wp-content\/uploads\/2026\/08\/Company_breaking_vendor_lock-in_202608051310-300x300.jpeg 300w, https:\/\/thecloud.group\/wp-content\/uploads\/2026\/08\/Company_breaking_vendor_lock-in_202608051310-150x150.jpeg 150w, https:\/\/thecloud.group\/wp-content\/uploads\/2026\/08\/Company_breaking_vendor_lock-in_202608051310-768x768.jpeg 768w, https:\/\/thecloud.group\/wp-content\/uploads\/2026\/08\/Company_breaking_vendor_lock-in_202608051310-12x12.jpeg 12w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\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>","protected":false},"excerpt":{"rendered":"<p>In the vast digital landscape of the 21st century, security is the cornerstone of any business. Cybersecurity vulnerabilities make no distinction between corporate giants and promising startups.<\/p>","protected":false},"author":20,"featured_media":32144,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"elementor_header_footer","format":"standard","meta":{"footnotes":""},"categories":[859],"tags":[896,883],"class_list":["post-32142","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-ia","tag-producto-digital","tag-sistemas-empresariales"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.4 (Yoast SEO v28.5) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Los agentes de IA no son empleados digitales The Cloud Group<\/title>\n<meta name=\"description\" content=\"C\u00f3mo digitalizamos el archivo del Parlamentode Guinea Ecuatorial: alcance, retost\u00e9cnicos, soluci\u00f3n y resultado. 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