{"id":18215,"date":"2026-06-08T14:07:18","date_gmt":"2026-06-08T12:07:18","guid":{"rendered":"https:\/\/www.mjr.gmbh\/post\/automatisierte-aufbereitung-von-unternehmensdokumenten-fuer-ein-internes-wissenssystem\/"},"modified":"2026-06-08T16:17:05","modified_gmt":"2026-06-08T14:17:05","slug":"automated-processing-of-corporate-documents-with-ai","status":"publish","type":"post","link":"https:\/\/www.mjr.gmbh\/en\/blog-en\/automated-processing-of-corporate-documents-with-ai\/","title":{"rendered":"Automated processing of corporate documents for an internal knowledge management system"},"content":{"rendered":"<section class=\"l-section wpb_row us_custom_731744cd height_medium\"><div class=\"l-section-h i-cf\"><div class=\"g-cols vc_row via_flex valign_top type_default stacking_default\"><div class=\"vc_col-sm-6 wpb_column vc_column_container\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\"><div class=\"wpb_text_column\"><div class=\"wpb_wrapper\">\n<\/div><\/div><\/div><\/div><\/div><div class=\"vc_col-sm-6 wpb_column vc_column_container has_bg_color\"><div class=\"vc_column-inner us_custom_88f09184\"><div class=\"wpb_wrapper\"><div class=\"w-image us_custom_fcf66a6c has_height has_ratio align_left\"><div class=\"w-image-h\"><div style=\"padding-bottom:100%\"><\/div><img decoding=\"async\" width=\"950\" height=\"950\" src=\"https:\/\/www.mjr.gmbh\/wp-content\/uploads\/Carlos.jpg\" class=\"attachment-full size-full\" alt=\"carlos\" loading=\"lazy\" \/><\/div><\/div><div class=\"wpb_text_column us_custom_72fc42ef\"><div class=\"wpb_wrapper\"><p style=\"text-align: left;\"><span style=\"font-size: 14pt;\"><strong>Carlos Balbach<\/strong><\/span><br \/>\n<span style=\"font-size: 14pt;\">Consultant<\/span><\/p>\n<p style=\"text-align: left;\"><span style=\"font-size: 12pt; text-align: right;\">Your partner for ERP and technology.<\/span><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/section><section class=\"l-section wpb_row height_medium\"><div class=\"l-section-h i-cf\"><div class=\"g-cols vc_row via_flex valign_top type_default stacking_default\"><div class=\"vc_col-sm-12 wpb_column vc_column_container\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\"><div class=\"wpb_text_column\"><div class=\"wpb_wrapper\"><div id=\"ez-toc-container\" class=\"ez-toc-v2_0_84 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Inhalt<\/p>\n<label for=\"ez-toc-cssicon-toggle-item-6a272843efd06\" class=\"ez-toc-cssicon-toggle-label\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/label><input type=\"checkbox\"  id=\"ez-toc-cssicon-toggle-item-6a272843efd06\"  aria-label=\"Toggle\" \/><nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/www.mjr.gmbh\/en\/blog-en\/automated-processing-of-corporate-documents-with-ai\/#Functionality_Manual_document_upload_needs_to_be_replaced\" >Functionality: Manual document upload needs to be replaced<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.mjr.gmbh\/en\/blog-en\/automated-processing-of-corporate-documents-with-ai\/#Why_semantic_search\" >Why semantic search?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/www.mjr.gmbh\/en\/blog-en\/automated-processing-of-corporate-documents-with-ai\/#Overview_of_the_Process\" >Overview of the Process<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/www.mjr.gmbh\/en\/blog-en\/automated-processing-of-corporate-documents-with-ai\/#Why_not_do_it_all_at_once\" >Why not do it all at once?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/www.mjr.gmbh\/en\/blog-en\/automated-processing-of-corporate-documents-with-ai\/#Processing_within_our_own_infrastructure\" >Processing within our own infrastructure<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/www.mjr.gmbh\/en\/blog-en\/automated-processing-of-corporate-documents-with-ai\/#Benefits_for_the_company\" >Benefits for the company<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/www.mjr.gmbh\/en\/blog-en\/automated-processing-of-corporate-documents-with-ai\/#Conclusion\" >Conclusion<\/a><\/li><\/ul><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"Functionality_Manual_document_upload_needs_to_be_replaced\"><\/span>Functionality: Manual document upload needs to be replaced<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-size: 14pt;\">Organizational knowledge is often found where it is created in day-to-day operations: in PDF files, Office documents, spreadsheets, presentations, or technical documents stored on shared drives. These documents contain valuable information but are often simply filed away in the traditional way. Anyone searching for specific content later on is often limited to file names, folder structures, or individual search terms.<br \/>\nTo make this knowledge more accessible, an automated process was developed that identifies corporate documents from an existing folder structure, verifies them, and prepares them for intelligent search.<br \/>\nThe goal is to eliminate the need to manually upload documents one by one. Instead, the process automatically identifies relevant files, processes their content, and makes them available for an internal knowledge management system.<\/span><\/p>\n<\/div><\/div><div class=\"wpb_text_column\"><div class=\"wpb_wrapper\"><h3><span class=\"ez-toc-section\" id=\"Why_semantic_search\"><\/span>Why semantic search?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-size: 14pt;\">A traditional search typically finds only terms that have been entered exactly as they appear. For example, if a document contains the term \u201cmaintenance schedule,\u201d it will usually be found reliably only if the search is performed using that exact term.<br \/>\nA semantic search goes one step further. It can find content even if the search query is phrased differently. For example, someone searching for \u201cregular maintenance,\u201d \u201cannual inspection,\u201d or \u201cmaintenance interval\u201d can still find relevant document sections, even if the wording in the original document differs.<br \/>\nTo achieve this, text content is technically processed in such a way that contextual relationships become machine-comparable. This processing forms the basis for making relevant document sections specifically searchable later on.<\/span><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Overview_of_the_Process\"><\/span>Overview of the Process<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-size: 14pt;\">The automation first scans an existing folder structure and checks which files can be processed. It supports common document formats such as PDF files, text documents, spreadsheets, presentations, and structured text files.<br \/>\nUnsuitable files are automatically filtered out. These include, for example, temporary Office files, empty files, or technical metadata files that may be generated during file transfers. This prevents unnecessary or corrupted files from entering the subsequent process.<br \/>\nIn the next step, the valid files are transferred to an internal processing component. There, the content is extracted from the documents, divided into smaller sections, and prepared for later semantic search.<br \/>\nThe generated search information is then stored in a specialized search index. This search index forms the technical foundation that enables content to be found later not only by filename but also by its actual meaning.<br \/>\nIt is important to note that the documents are not simply stored but are structured by content and prepared for later AI-powered queries.<\/span><\/p>\n<\/div><\/div><div class=\"wpb_text_column\"><div class=\"wpb_wrapper\"><p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-18195\" src=\"https:\/\/www.mjr.gmbh\/wp-content\/uploads\/Upload_Data_Flow-scaled.png\" alt=\"\" width=\"950\" height=\"569\" srcset=\"https:\/\/www.mjr.gmbh\/wp-content\/uploads\/Upload_Data_Flow-scaled.png 2560w, https:\/\/www.mjr.gmbh\/wp-content\/uploads\/Upload_Data_Flow-300x180.png 300w, https:\/\/www.mjr.gmbh\/wp-content\/uploads\/Upload_Data_Flow-1024x613.png 1024w, https:\/\/www.mjr.gmbh\/wp-content\/uploads\/Upload_Data_Flow-650x389.png 650w, https:\/\/www.mjr.gmbh\/wp-content\/uploads\/Upload_Data_Flow-530x317.png 530w, https:\/\/www.mjr.gmbh\/wp-content\/uploads\/Upload_Data_Flow-110x66.png 110w\" sizes=\"auto, (max-width: 950px) 100vw, 950px\" \/><\/p>\n<\/div><\/div><div class=\"wpb_text_column\"><div class=\"wpb_wrapper\"><h3><span class=\"ez-toc-section\" id=\"Why_not_do_it_all_at_once\"><\/span>Why not do it all at once?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>&nbsp;<\/p>\n<p><span style=\"font-size: 14pt;\">Each file can be assigned a status, for example:<\/span><br \/>\n<span style=\"font-size: 14pt;\">\u2022 waiting<\/span><br \/>\n<span style=\"font-size: 14pt;\">\u2022 in process<\/span><br \/>\n<span style=\"font-size: 14pt;\">\u2022 successfully transferred<\/span><br \/>\n<span style=\"font-size: 14pt;\">\u2022 failed<\/span><\/p>\n<p><span style=\"font-size: 14pt;\">This makes it easy to see at any time which files are still pending, which have already been processed successfully, and which ones encountered an error.<\/span><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Processing_within_our_own_infrastructure\"><\/span>Processing within our own infrastructure<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-size: 14pt;\">An important component of the solution is processing within the organization\u2019s own technical environment. This eliminates the need to transfer document content to external services.<br \/>\nContent processing takes place locally or within a controlled system environment. As a result, confidential company information remains within the organization\u2019s control.<br \/>\nThis is particularly important because documents may contain internal processes, technical information, customer data, project data, or operational records.<br \/>\nProcessing only works reliably if all internal components are accessible. If a processing component is unavailable, documents can be partially recognized or received, but cannot be fully prepared for semantic search. <\/span><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Benefits_for_the_company\"><\/span>Benefits for the company<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-size: 14pt;\"> This automated process creates a central foundation for an internal knowledge management system. Existing documents are not merely archived but made searchable by content.<br \/>\nThis is particularly valuable for technical documentation, operating manuals, maintenance records, process descriptions, project documents, and training materials. In the future, employees will no longer need to know which folder a document is in or its exact filename. Instead, they can search by content.<br \/>\nThis structure is also important for AI-powered assistance systems. An internal assistant can later retrieve specific relevant document sections from the knowledge base and formulate answers based on them. This reduces erroneous or inaccurate answers because the responses are more strongly grounded in existing company information.<\/span><\/p>\n<\/div><\/div><div class=\"wpb_text_column\"><div class=\"wpb_wrapper\"><h3><span class=\"ez-toc-section\" id=\"Conclusion\"><\/span>Conclusion<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-size: 14pt;\">The automated processing workflow has created a solid foundation for making better use of internal company knowledge.<br \/>\nThe solution automatically identifies relevant documents, filters out unsuitable files, processes content in a controlled manner, and makes it available for semantic search.<br \/>\nThe major advantage lies not only in the automation itself, but also in the controlled processing. Thanks to the queue structure, large volumes of documents can be processed incrementally without placing an unnecessary burden on the system.<\/span><br \/>\n<span style=\"font-size: 14pt;\">This provides a scalable way to make existing company documents available for modern internal knowledge and assistance systems.<\/span><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/section><section class=\"l-section wpb_row height_medium full_height valign_center\" id=\"kontakt\"><div class=\"l-section-h i-cf\"><div class=\"g-cols vc_row via_flex valign_top type_default stacking_default\"><div class=\"vc_col-sm-12 wpb_column vc_column_container\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\"><div class=\"g-cols wpb_row via_flex valign_top type_default stacking_default\"><div class=\"vc_col-sm-3 wpb_column vc_column_container\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\"><div class=\"w-image style_circle align_center\"><div class=\"w-image-h\"><img decoding=\"async\" width=\"150\" height=\"150\" src=\"https:\/\/www.mjr.gmbh\/wp-content\/uploads\/Michael_350x350-150x150.png\" class=\"attachment-thumbnail size-thumbnail\" alt=\"Michael raber\" loading=\"lazy\" srcset=\"https:\/\/www.mjr.gmbh\/wp-content\/uploads\/Michael_350x350-150x150.png 150w, https:\/\/www.mjr.gmbh\/wp-content\/uploads\/Michael_350x350-300x300.png 300w, https:\/\/www.mjr.gmbh\/wp-content\/uploads\/Michael_350x350.png 350w\" sizes=\"auto, (max-width: 150px) 100vw, 150px\" \/><\/div><\/div><\/div><\/div><\/div><div class=\"vc_col-sm-9 wpb_column vc_column_container\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\">[vc_custom_heading text=&#8220;Just contact us&#8220; 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Functionality: Manual document upload needs to be replaced Organizational knowledge is often found where it is created in day-to-day operations: in PDF files, Office documents, spreadsheets, presentations, or technical documents stored on shared drives. These documents contain valuable information but are often simply filed away in...","protected":false},"author":5,"featured_media":18206,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[97,8],"tags":[],"tutorial_kategorie":[],"class_list":["post-18215","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog-en","category-post"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.7 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Automated processing of corporate documents for an internal knowledge management system - MJR GmbH<\/title>\n<meta name=\"description\" content=\"Automated file upload to a vector database using AI. 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