{"id":34728,"date":"2026-08-21T13:38:53","date_gmt":"2026-08-21T17:38:53","guid":{"rendered":"https:\/\/www.oxebridge.com\/emma\/?p=34728"},"modified":"2026-08-21T13:38:53","modified_gmt":"2026-08-21T17:38:53","slug":"new-service-human-in-the-loop-review-of-ai-generated-qms","status":"publish","type":"post","link":"https:\/\/www.oxebridge.com\/emma\/new-service-human-in-the-loop-review-of-ai-generated-qms\/","title":{"rendered":"New Service: Human-in-the-Loop Review of AI-Generated QMS"},"content":{"rendered":"<p>More and more companies are using AI to generate their quality management system documentation. Unlike a lot of folks, we think that is great! The less you have to spend on your QMS implementation, the better it is for everyone. This could improve products around the world, leading to fewer product recalls, disasters, or injuries to the public.<\/p>\n<p>But let\u2019s face it: as of right now, the AI-generated content is not always accurate. <em><strong>A lot of it is slop.<\/strong><\/em> This is because AI models are built on pre-existing data that isn\u2019t vetted and is simply pumped into the models in bulk. Procedures from hundreds of thousands of companies are fed in, mashed together, and then spit back out in some sort of Frankensteinian fashion, all while the AI tool insists it\u2019s generating 100% compliant documentation.<\/p>\n<p>Then, later, you get audited and find out you were handed slop that puts your QMS certification at risk.<\/p>\n<p>(For similar stories, see <a href=\"https:\/\/www.msba.org\/site\/site\/content\/News-and-Publications\/News\/General-News\/Massachusetts_Lawyer-Sanctioned_for_AI_Generated-Fictitious_Cases.aspx\">all those cases<\/a> where lawyers thought they could enter AI-generated motions and complaints in court, and risked getting debarred after finding out their citations were entirely fake.)<\/p>\n<p>What\u2019s the answer? It\u2019s called \u201cHuman-in-the-Loop,\u201d or HITL. This is where a\u00a0<em><strong>real person<\/strong><\/em>\u00a0reviews AI content to identify gaps, mistakes, errors, or inefficiencies. Oxebridge is happy to announce that it can now offer a\u00a0<strong>full Human-in-the-Loop review<\/strong>\u00a0of your AI content before you undergo any audits, to identify problems before they pose a risk to your certification.<\/p>\n<p>The best part? A HITL review by Oxebridge is both fast and cheap! This is because it\u2019s essentially a document review, requiring no travel or expenses, and can be done in hours to days (depending on the number of documents). It <strong>starts at only $1,000<\/strong>\u00a0and only goes up if you have a lot of documents. A typical machine shop, for example, is unlikely to need to exceed that amount.<\/p>\n<p>Once done, you get a formal report \u2014 written by a human, not AI! \u2014 that identifies any problems in the documentation, such as:<\/p>\n<ul>\n<li>Incorrect interpretations of the standard (ISO 9001, AS9100, etc.)<\/li>\n<li>Conflicts between documents<\/li>\n<li>Missing requirements<\/li>\n<li>Poor or overcomplicated interpretations or implementation<\/li>\n<li>Obvious AI slop<\/li>\n<li>Gaps, mistakes, errors<\/li>\n<li>Lack of world-class approaches<\/li>\n<\/ul>\n<p>With the report in hand, you can then correct your documents to ensure they reflect your actual practices and preferences, and head into your next certification audit with confidence.<\/p>\n<p>To request an\u00a0<strong>Oxebridge Human-in-the-Loop review<\/strong>\u00a0of your AI QMS content,\u00a0<a href=\"https:\/\/www.oxebridge.com\/emma\/request-a-quote-hitl\/\"><strong>click here and request a quote.<\/strong><\/a><\/p>","protected":false},"excerpt":{"rendered":"<p>Get a set of human eyes on your AI documentation before your next audit!<\/p>","protected":false},"author":2,"featured_media":34732,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","mc4wp_mailchimp_campaign":[],"footnotes":""},"categories":[3,96],"tags":[683,684,15,8927,8926,14,603],"class_list":["post-34728","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","category-services","tag-ai","tag-artificial-intelligence","tag-as9100","tag-hitl","tag-human-in-the-loop","tag-iso-9001","tag-qms","et-has-post-format-content","et_post_format-et-post-format-standard"],"_links":{"self":[{"href":"https:\/\/www.oxebridge.com\/emma\/wp-json\/wp\/v2\/posts\/34728","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.oxebridge.com\/emma\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.oxebridge.com\/emma\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.oxebridge.com\/emma\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.oxebridge.com\/emma\/wp-json\/wp\/v2\/comments?post=34728"}],"version-history":[{"count":2,"href":"https:\/\/www.oxebridge.com\/emma\/wp-json\/wp\/v2\/posts\/34728\/revisions"}],"predecessor-version":[{"id":34733,"href":"https:\/\/www.oxebridge.com\/emma\/wp-json\/wp\/v2\/posts\/34728\/revisions\/34733"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.oxebridge.com\/emma\/wp-json\/wp\/v2\/media\/34732"}],"wp:attachment":[{"href":"https:\/\/www.oxebridge.com\/emma\/wp-json\/wp\/v2\/media?parent=34728"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.oxebridge.com\/emma\/wp-json\/wp\/v2\/categories?post=34728"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.oxebridge.com\/emma\/wp-json\/wp\/v2\/tags?post=34728"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}