{"id":12465,"date":"2026-09-22T17:09:47","date_gmt":"2026-09-22T15:09:47","guid":{"rendered":"https:\/\/proditysoftware.com\/ia-in-industrial-safety-error-94-companies\/"},"modified":"2026-09-22T17:29:19","modified_gmt":"2026-09-22T15:29:19","slug":"ai-in-industrial-safety-error-94-companies","status":"publish","type":"post","link":"https:\/\/proditysoftware.com\/en\/ai-in-industrial-safety-error-94-companies\/","title":{"rendered":"AI in Industrial Safety: The Mistake 94% of Companies Make When Implementing It"},"content":{"rendered":"\n<div class=\"wp-block-rank-math-toc-block\" id=\"rank-math-toc\"><h2>Article Contents:<\/h2><nav><ul><li class=\"\"><a href=\"#que-es-realmente-la-ia-en-seguridad-industrial\">What Is AI Really in Industrial Safety?<\/a><ul><li class=\"\"><a href=\"#cuando-la-ia-se-pone-encima-del-problema-en-vez-de-resolverlo\">When AI becomes part of the problem instead of the solution<\/a><\/li><li class=\"\"><a href=\"#como-se-nota-esto-en-el-dia-a-dia-de-un-ehsq-manager\">How this plays out in the day-to-day work of an EHSQ manager<\/a><\/li><\/ul><\/li><li class=\"\"><a href=\"#lo-que-hacen-distinto-las-empresas-que-si-ven-resultados\">What Sets Companies That See Results Apart<\/a><ul><li class=\"\"><a href=\"#un-ejemplo-de-como-se-ve-en-la-practica\">An example of how this plays out in practice<\/a><\/li><li class=\"\"><a href=\"#el-caso-de-zelestra-de-2-horas-a-1-minuto\">The Zelestra case: from 2 hours to 1 minute<\/a><\/li><li class=\"\"><a href=\"#estas-en-el-94-o-en-el-6\">Are you in the 94% or the 6%?<\/a><\/li><\/ul><\/li><\/ul><\/nav><\/div>\n\n\n\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p class=\"wp-block-paragraph\">If you work in EHSQ management, you may already be using AI for industrial safety in some part of your day-to-day work. Or you may be considering implementing it soon. Or you may still be managing much of this on paper or in an Excel spreadsheet that\u2019s updated manually.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">No matter where you&#8217;re starting from, there&#8217;s one piece of information you should check out before moving on: a recent McKinsey report (<em><a href=\"https:\/\/www.mckinsey.com\/capabilities\/quantumblack\/our-insights\/the-state-of-ai\" target=\"_blank\" rel=\"noopener\">State of AI 2026<\/a><\/em>) estimates<strong> that 94% of companies <\/strong> <strong>make the same mistake<\/strong> when implementing AI <strong>.<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Add it on top of the process you already had, without changing the process itself.<\/strong> Same reporting workflow, same approvals, same manual steps\u2014only now with a smart dashboard wrapped around it.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">If you\u2019re coming from paper or Excel, that\u2019s exactly the mistake you might end up repeating when you go digital: you change the tool, but not the process.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">And if you already have AI in place, it\u2019s very likely that this is what\u2019s happening to you right now, even if you haven\u2019t noticed it. Because the issue isn\u2019t whether you \u201cfeel\u201d like you\u2019re working better. <strong>It\u2019s whether the accident rate goes down, whether you react more quickly to a risk, or whether it takes less effort to handle a nonconformity.<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Let&#8217;s take a look at why this happens and how to do it differently, including a real-life example.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/proditysoftware.com\/wp-content\/uploads\/2026\/09\/Imagen-16x9-94-Mismo-Error-EN-selection-1-1024x576.png\" alt=\"Statistic: 94% of EHSQ software and industrial safety companies add AI without changing the process, according to McKinsey\" class=\"wp-image-12478\" srcset=\"https:\/\/proditysoftware.com\/wp-content\/uploads\/2026\/09\/Imagen-16x9-94-Mismo-Error-EN-selection-1-1024x576.png 1024w, https:\/\/proditysoftware.com\/wp-content\/uploads\/2026\/09\/Imagen-16x9-94-Mismo-Error-EN-selection-1-300x169.png 300w, https:\/\/proditysoftware.com\/wp-content\/uploads\/2026\/09\/Imagen-16x9-94-Mismo-Error-EN-selection-1-768x432.png 768w, https:\/\/proditysoftware.com\/wp-content\/uploads\/2026\/09\/Imagen-16x9-94-Mismo-Error-EN-selection-1-1536x864.png 1536w, https:\/\/proditysoftware.com\/wp-content\/uploads\/2026\/09\/Imagen-16x9-94-Mismo-Error-EN-selection-1.png 1920w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<h2 id=\"que-es-realmente-la-ia-en-seguridad-industrial\" class=\"wp-block-heading\">What Is AI in Industrial Safety, Really?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">We\u2019re not talking about robots or automated production lines here. We\u2019re talking about systems that process safety data\u2014incidents, audits, near-misses\u2014which used to require hours of manual work: identifying patterns, generating action plans, and answering questions about safety conditions at a plant without having to search through an Excel spreadsheet.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">When implemented correctly, this translates into two very specific benefits for an EHSQ department. The first is time: hours that a safety technician used to spend on administrative tasks and can now spend on the shop floor, where they truly add value. The second is peace of mind regarding compliance: when data is centralized, traceable, and always up to date, an audit is no longer a last-minute scramble to reconstruct what happened and when\u2014it becomes something you\u2019ve already thoroughly addressed.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large has-custom-border\"><img decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/proditysoftware.com\/wp-content\/uploads\/2026\/09\/AI-Scout-Diagrama-Hub-Spoke-EN-selection-1-1024x576.png\" alt=\"AI Scout diagram, EHSQ software with AI, connected to monthly incidents, accident chart, pending audits, near-misses and corrective actions\" class=\"wp-image-12483\" style=\"border-top-left-radius:15px;border-top-right-radius:15px;border-bottom-left-radius:15px;border-bottom-right-radius:15px\" srcset=\"https:\/\/proditysoftware.com\/wp-content\/uploads\/2026\/09\/AI-Scout-Diagrama-Hub-Spoke-EN-selection-1-1024x576.png 1024w, https:\/\/proditysoftware.com\/wp-content\/uploads\/2026\/09\/AI-Scout-Diagrama-Hub-Spoke-EN-selection-1-300x169.png 300w, https:\/\/proditysoftware.com\/wp-content\/uploads\/2026\/09\/AI-Scout-Diagrama-Hub-Spoke-EN-selection-1-768x432.png 768w, https:\/\/proditysoftware.com\/wp-content\/uploads\/2026\/09\/AI-Scout-Diagrama-Hub-Spoke-EN-selection-1-1536x864.png 1536w, https:\/\/proditysoftware.com\/wp-content\/uploads\/2026\/09\/AI-Scout-Diagrama-Hub-Spoke-EN-selection-1.png 1920w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<h3 id=\"cuando-la-ia-se-pone-encima-del-problema-en-vez-de-resolverlo\" class=\"wp-block-heading\">When AI is just layered on top of the problem, instead of solving it<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Most organizations do the same thing: they take the process they already had\u2014same reporting chain, same approvals, same bottlenecks\u2014and slap some AI on top of it. A slightly smarter dashboard. An alert that goes off sooner. A report that generates itself. None of that gets to the root of the problem.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">And that\u2019s the real catch: you can see the problem more clearly without solving it, because the flaw isn\u2019t in the dashboard. It\u2019s that no one has changed the way the team works around it. They\u2019re still filling out the same form, escalating through the same channel, waiting for the same approval\u2014only now with a prettier dashboard in the background. Without change management, AI remains nothing more than a visualization layer on top of the same old way of working.<\/p>\n\n\n\n<h3 id=\"como-se-nota-esto-en-el-dia-a-dia-de-un-ehsq-manager\" class=\"wp-block-heading\">How does this play out in the day-to-day work of an EHSQ manager?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">You can tell right away if you know where to look:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Tools that no one uses in the field.<\/strong> They\u2019re designed in an office and handed off to field workers who are wearing gloves, have their hands full, and don\u2019t have time to fill out a ten-field form. It doesn\u2019t matter how good the AI behind it is if the field worker avoids the form.<\/li>\n\n\n\n<li><strong>Dashboards that are empty at the top.<\/strong> If you don\u2019t make it easy to enter data, the dashboard won\u2019t be populated. It doesn\u2019t matter what AI you put behind the analysis: without input data, there\u2019s nothing to analyze.<\/li>\n\n\n\n<li><strong>Reports that no one opens.<\/strong> It doesn\u2019t matter how sophisticated the analysis is if the safety technician still has to download it, read the whole thing, and decide manually what to do with it. You\u2019ve automated the generation of the problem, not the problem itself.<\/li>\n\n\n\n<li><strong>Data that piles up without leading to anything.<\/strong> Incidents, near-misses, audits\u2014all classified by AI. But if no one reacts any faster because of it, the data just sits there, serving no practical purpose.<\/li>\n<\/ul>\n\n\n\n<div class=\"wp-block-group has-background has-global-padding is-layout-constrained wp-container-core-group-is-layout-55fc048e wp-block-group-is-layout-constrained\" style=\"border-style:none;border-width:0px;border-top-left-radius:15px;border-top-right-radius:15px;border-bottom-left-radius:15px;border-bottom-right-radius:15px;background-color:#fff0eb;margin-top:var(--wp--preset--spacing--80);margin-bottom:var(--wp--preset--spacing--80);padding-top:var(--wp--preset--spacing--50);padding-right:var(--wp--preset--spacing--30);padding-bottom:var(--wp--preset--spacing--50);padding-left:var(--wp--preset--spacing--30);background-image:url(&apos;https:\/\/proditysoftware.com\/wp-content\/uploads\/2026\/08\/Video-AI-Generator-2.png&apos;);background-position:53% 43%;background-size:cover;\">\n<h3 class=\"wp-block-heading has-text-align-center has-base-color has-text-color has-link-color wp-elements-1\" id=\"ya-confian-en-prodity\" style=\"margin-top:0;margin-right:0;margin-bottom:0;margin-left:0;padding-top:var(--wp--preset--spacing--50);padding-right:var(--wp--preset--spacing--80);padding-bottom:var(--wp--preset--spacing--50);padding-left:var(--wp--preset--spacing--80)\">Turn your <strong>EHSQ &amp; ESG data into <\/strong>actionable insights with our <strong>AI<\/strong><\/h3>\n\n\n\n<div class=\"wp-block-buttons is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-e7a9e829 wp-block-buttons-is-layout-flex\" style=\"padding-bottom:var(--wp--preset--spacing--60)\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/proditysoftware.com\/en\/about-artificial-intelligence\/\" target=\"_blank\" rel=\"noopener\">Discover the 5 agents<\/a><\/div>\n<\/div>\n<\/div>\n\n\n\n<h2 id=\"lo-que-hacen-distinto-las-empresas-que-si-ven-resultados\" class=\"wp-block-heading\">What Sets Companies That See Results Apart<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">McKinsey makes it quite clear: companies that do achieve an impact don\u2019t simply fit AI into their existing processes. They redesign the process from the ground up with AI in mind. The question they ask isn\u2019t \u201cWhere does AI fit into what we\u2019re already doing?\u201d but rather<strong>\u201cIf we had to build this from scratch today, how would we do it?<\/strong>\u201d<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">That true redesign is only possible if AI is integrated into the system itself from the design phase, not added later as a plugin.<strong> Native AI<\/strong> has direct access to all the data and can act on the entire workflow. An AI layered on top, on the other hand, can only read what\u2019s there and return a result\u2014it doesn\u2019t touch the underlying process. That\u2019s why so many implementations remain merely \u201csmarter\u201d without actually becoming \u201ctruly faster.\u201d<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Redesigning with native AI, however, does not mean removing people from the process. <strong>AI suggests, prioritizes, and speeds things up; the decisions that really matter<\/strong> \u2014stopping a job, imposing sanctions, changing a procedure\u2014are still made by someone with good judgment. Removing the mechanical aspects is not the same as removing people.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">When applied to <a href=\"https:\/\/proditysoftware.com\/gestion-de-riesgos-laborales-chile\/\">occupational risk management<\/a>, this translates into very specific outcomes: a system that detects risks and assesses data quality in real time, without anyone having to review it manually. Or being able to ask in natural language how safety is going at a plant, without having to generate a report, wait for someone to read it, and then make a decision.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Put that way, it sounds abstract. Let\u2019s look at a concrete example.<\/p>\n\n\n\n<h3 id=\"un-ejemplo-de-como-se-ve-en-la-practica\" class=\"wp-block-heading\">An example of how this works in practice<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">This is the principle we follow when designing Prodity AI: each agent eliminates a step from the process, rather than just adding another layer on top of it. Here\u2019s how that translates in practice:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>AI Scout<\/strong> replaces manual data searches with natural-language queries. The &#8220;generate report \u2192 read it \u2192 decide&#8221; process is eliminated entirely.<\/li>\n\n\n\n<li><strong>RelaTiQ<\/strong> searches for historical events similar to the one you\u2019re managing, so you don\u2019t have to start from scratch every time a new risk arises.<\/li>\n\n\n\n<li><strong>Action Bot<\/strong> automatically drafts action plans, risk assessments, and lessons learned.<\/li>\n\n\n\n<li><strong>Smart Play<\/strong> checks data quality and automatically detects risks before anyone has to verify it manually.<\/li>\n\n\n\n<li><strong>Field Voice<\/strong> moves incident reporting to where the operator already is\u2014WhatsApp\u2014without the need for forms.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">None of these agents make decisions on their own. <strong>They prioritize, issue alerts, and lay the groundwork, but the final say\u2014whether to halt <\/strong>a task, terminate an action, or escalate a risk\u2014<strong> still rests with a person.<\/strong> This is <em>\u201chuman-in-the-loop\u201d<\/em> in its truest sense: not as a legal disclaimer, but as a design principle.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The difference with a 94% implementation isn&#8217;t that these agents &#8220;have AI.&#8221; It&#8217;s that each one handles an entire step of the process\u2014it doesn&#8217;t just speed it up a little.<\/p>\n\n\n\n<h3 id=\"el-caso-de-zelestra-de-2-horas-a-1-minuto\" class=\"wp-block-heading\">The Zelestra Case: From 2 Hours to 1 Minute<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">You don\u2019t have to look far to see this in action. Zelestra faced the same problem as most EHSQ departments: hours of manual analysis before being able to act on safety data.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">After redesigning the process using this approach, Zelestra\u2019s HSE analysis went from <strong>2 hours to 1 minute<\/strong>. And not because AI summarized reports more quickly, but because there was simply no longer any need to generate and read the report.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">That\u2019s the difference between 94% and 6%.<\/p>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe loading=\"lazy\" title=\"Digitalizaci\u00f3n en Seguridad y Salud (HSE): El Caso de \u00c9xito de Zelestra y Prodity \ud83d\ude80\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/zQmK9OVahw0?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n\n\n\n<h3 id=\"estas-en-el-94-o-en-el-6\" class=\"wp-block-heading\">Are you in the 94% or the 6%?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Before adding another AI tool to your EHSQ stack, ask yourself these questions: Does it eliminate a step in the process, or does it just make it faster? If you removed it tomorrow, would everything go back to exactly the way it was before? Do people in the field actually use it, or do they avoid it whenever they can? Can you point to a business metric\u2014not an adoption metric\u2014that has changed in a measurable way?<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">If any of the answers made you uncomfortable, don&#8217;t worry: you&#8217;re part of the 94%, just like almost everyone else. What makes the difference isn&#8217;t switching tools\u2014it&#8217;s redesigning the process.<\/p>\n\n\n\n<div class=\"wp-block-group has-border-color has-cyan-bluish-gray-border-color has-global-padding is-layout-constrained wp-container-core-group-is-layout-5e509230 wp-block-group-is-layout-constrained\" style=\"border-width:1px;border-top-left-radius:15px;border-top-right-radius:15px;border-bottom-left-radius:15px;border-bottom-right-radius:15px;margin-top:var(--wp--preset--spacing--80);margin-bottom:var(--wp--preset--spacing--80);padding-top:var(--wp--preset--spacing--30);padding-right:var(--wp--preset--spacing--30);padding-bottom:var(--wp--preset--spacing--30);padding-left:var(--wp--preset--spacing--30)\">\n<h2 class=\"wp-block-heading has-text-align-center\" id=\"ya-confian-en-prodity\">They already trust Prodity&#8230;<\/h2>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" width=\"1024\" height=\"512\" src=\"https:\/\/proditysoftware.com\/wp-content\/uploads\/2026\/08\/Banner-Clientes-Global-selection-1-1024x512.png\" alt=\"\" class=\"wp-image-11030\" srcset=\"https:\/\/proditysoftware.com\/wp-content\/uploads\/2026\/08\/Banner-Clientes-Global-selection-1-1024x512.png 1024w, https:\/\/proditysoftware.com\/wp-content\/uploads\/2026\/08\/Banner-Clientes-Global-selection-1-300x150.png 300w, https:\/\/proditysoftware.com\/wp-content\/uploads\/2026\/08\/Banner-Clientes-Global-selection-1-768x384.png 768w, https:\/\/proditysoftware.com\/wp-content\/uploads\/2026\/08\/Banner-Clientes-Global-selection-1.png 1280w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<div class=\"wp-block-buttons is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-e7a9e829 wp-block-buttons-is-layout-flex\" style=\"padding-bottom:var(--wp--preset--spacing--60)\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link wp-element-button\">View Success Stories<\/a><\/div>\n<\/div>\n<\/div>\n\n\n\n<h2 id=\"p\" class=\"wp-block-heading\">Frequently Asked Questions<\/h2>\n\n\n<div id=\"rank-math-faq\" class=\"rank-math-block\">\n<div class=\"rank-math-list \">\n<div id=\"faq-question-1790080681651\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \">How do I know if my AI implementation in EHSQ is actually working?<\/h3>\n<div class=\"rank-math-answer \">\n\n<p>Ask yourself four specific questions. First: Does AI eliminate an entire step from the process, or does it just make it a little faster? Second: If you removed it tomorrow, would the process go back to being exactly the same as before? If the answer is yes, nothing structural has changed. Third: Do people in the field\u2014operators, plant technicians\u2014actually use it, or does it only show up in office adoption reports? Fourth: Can you point to a real business metric\u2014not usage or satisfaction\u2014that has changed measurably since you implemented it? If you\u2019d like to see how to apply this to your own <a href=\"https:\/\/proditysoftware.com\/gestion-de-riesgos-laborales-chile\/\">occupational risk management<\/a>, you can <a href=\"https:\/\/proditysoftware.com\/en\/request-demo\/\">request a free demo<\/a> and go over it with our team. <\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1790080698294\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \">What sets apart the companies that actually achieve real impact with AI?<\/h3>\n<div class=\"rank-math-answer \">\n\n<p>They redesign the process with AI in mind from the start, rather than simply inserting it into their existing workflow. They replace the cycle of generating a report, reading it, and making a decision with a system that detects risks or answers questions directly.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1790081912045\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \">What does &#8220;human in the loop&#8221; mean in industrial safety?<\/h3>\n<div class=\"rank-math-answer \">\n\n<p>It is a design principle in which a person remains involved in the decision-making process, rather than letting AI act completely autonomously. AI can analyze data, detect risks, or propose a course of action, but it does not independently execute decisions that have real-world consequences\u2014such as halting a task, imposing a penalty, or changing a procedure. A person continues to validate those decisions. In industrial safety, this is particularly important because a system error is not simply a mislabeled data point: it can mean failing to act on a real risk, or generating so many false alarms that no one ends up trusting the system.<\/p>\n\n<\/div>\n<\/div>\n<\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>If you work in EHSQ management, you may already be using AI for industrial safety in some part of your day-to-day work. Or you may be considering implementing it soon. Or you may still be managing much of this on paper or in an Excel spreadsheet that\u2019s updated manually. No matter where you&#8217;re starting from, [&hellip;]<\/p>\n","protected":false},"author":4,"featured_media":12444,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[89,67,1],"tags":[],"class_list":["post-12465","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence","category-prodity-en","category-safety-services-osh"],"_links":{"self":[{"href":"https:\/\/proditysoftware.com\/en\/wp-json\/wp\/v2\/posts\/12465","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/proditysoftware.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/proditysoftware.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/proditysoftware.com\/en\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/proditysoftware.com\/en\/wp-json\/wp\/v2\/comments?post=12465"}],"version-history":[{"count":6,"href":"https:\/\/proditysoftware.com\/en\/wp-json\/wp\/v2\/posts\/12465\/revisions"}],"predecessor-version":[{"id":12491,"href":"https:\/\/proditysoftware.com\/en\/wp-json\/wp\/v2\/posts\/12465\/revisions\/12491"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/proditysoftware.com\/en\/wp-json\/wp\/v2\/media\/12444"}],"wp:attachment":[{"href":"https:\/\/proditysoftware.com\/en\/wp-json\/wp\/v2\/media?parent=12465"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/proditysoftware.com\/en\/wp-json\/wp\/v2\/categories?post=12465"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/proditysoftware.com\/en\/wp-json\/wp\/v2\/tags?post=12465"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}