{"id":226071,"date":"2026-06-25T12:32:39","date_gmt":"2026-06-25T12:32:39","guid":{"rendered":"https:\/\/www.9senses.ai\/?page_id=226071"},"modified":"2026-08-27T13:26:18","modified_gmt":"2026-08-27T13:26:18","slug":"substance","status":"publish","type":"page","link":"https:\/\/www.9senses.ai\/de\/substance\/","title":{"rendered":"AI Substance"},"content":{"rendered":"<div class=\"et_pb_section_0 et_pb_section et_section_regular et_block_section\">\n<div class=\"et_pb_row_0 et_pb_row et_flex_row ns-hdr\">\n<div class=\"et_pb_column_0 et_pb_column et-last-child et_flex_column et_pb_css_mix_blend_mode_passthrough et_flex_column_24_24 et_flex_column_24_24_tablet et_flex_column_24_24_phone et_flex_column_24_24_tabletWide\">\n<div class=\"et_pb_text_0 et_pb_text et_pb_bg_layout_light et_pb_module et_flex_module ns-eyebrow\"><div class=\"et_pb_text_inner\"><p>What we do<\/p>\n<\/div><\/div>\n<\/div>\n<\/div>\n\n<div class=\"et_pb_row_1 et_pb_row et_flex_row ns-hdr\">\n<div class=\"et_pb_column_1 et_pb_column et_block_column et_pb_css_mix_blend_mode_passthrough et_flex_column_24_24 et_flex_column_24_24_tabletWide\">\n<div class=\"et_pb_post_title_0 et_pb_post_title et_pb_bg_layout_light et_pb_module et_block_module\"><div class=\"et_pb_title_container\"><h1 class=\"entry-title\">AI Substance<\/h1><\/div><\/div>\n\n<div class=\"et_pb_text_1 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module\"><div class=\"et_pb_text_inner\"><p>When it comes to deciding for AI, our extensive experience can help scope and build solutions that work. We are vendor-independent and not committed to building, we're committed to creating governable AI solutions that create business value.<\/p>\n<\/div><\/div>\n<\/div>\n\n<div class=\"et_pb_column_2 et_pb_column et-last-child et_block_column et_pb_css_mix_blend_mode_passthrough et_flex_column_24_24 et_flex_column_24_24_tabletWide\">\n<div class=\"et_pb_code_0 et_pb_code et_pb_module\"><div class=\"et_pb_code_inner\"><div class=\"ns-vmap-editor-note\" style=\"position:relative;width:100%;overflow:hidden;aspect-ratio:5\/4;max-height:230px;\"><div style=\"position:absolute;inset:0;display:flex;align-items:center;justify-content:center;pointer-events:none\"><div style=\"padding:10px 12px;border:1px dashed rgba(170,180,205,.55);border-radius:6px;color:#8a93a6;font:600 12px\/1.4 sans-serif;background:rgba(8,13,25,.46)\"><div style=\"margin-bottom:6px\">Vector map \u2014 small<\/div><code style=\"display:inline-block;padding:3px 6px;border-radius:4px;background:rgba(127,140,170,.12);color:inherit\"><div class=\"ns-vmap-editor-note\" style=\"position:relative;width:100%;overflow:hidden;aspect-ratio:5\/4;max-height:230px;\"><div style=\"position:absolute;inset:0;display:flex;align-items:center;justify-content:center;pointer-events:none\"><div style=\"padding:10px 12px;border:1px dashed rgba(170,180,205,.55);border-radius:6px;color:#8a93a6;font:600 12px\/1.4 sans-serif;background:rgba(8,13,25,.46)\"><div style=\"margin-bottom:6px\">Vector map \u2014 small<\/div><code style=\"display:inline-block;padding:3px 6px;border-radius:4px;background:rgba(127,140,170,.12);color:inherit\">[ninesenses_vectormap #3]<\/code><div style=\"margin-top:6px;font-weight:400\">Max height: 230px. Preview on the live page.<\/div><\/div><\/div><\/div><\/code><div style=\"margin-top:6px;font-weight:400\">Max height: 230px. Preview on the live page.<\/div><\/div><\/div><\/div><\/div><\/div>\n<\/div>\n<\/div>\n<\/div>\n\n<div class=\"et_pb_section_1 et_pb_section et_section_regular et_block_section ns-block ns-linkset\" id=\"identity\" lang=\"en\">\n<div class=\"et_pb_row_2 et_pb_row et_flex_row ns-prose\">\n<div class=\"et_pb_column_3 et_pb_column et-last-child et_block_column et_pb_css_mix_blend_mode_passthrough et_flex_column_24_24 et_flex_column_24_24_tablet et_flex_column_24_24_phone et_flex_column_24_24_tabletWide\">\n<div class=\"et_pb_text_2 et_pb_text et_pb_bg_layout_light et_pb_module et_flex_module\"><div class=\"et_pb_text_inner\"><h2 style=\"display: inline; margin: 0; padding: 0;\">Managing Infrastructure<\/h2>\n<\/div><\/div>\n<\/div>\n<\/div>\n<div class=\"et_pb_row_3 et_pb_row et_flex_row\">\n<div class=\"et_pb_column_4 et_pb_column et_flex_column et_pb_css_mix_blend_mode_passthrough et_clickable et_flex_column_24_24 et_flex_column_24_24_tabletWide hovergroup ns-linked\">\n<div class=\"et_pb_blurb_0 et_pb_blurb et_pb_bg_layout_light et_pb_blurb_position_top et_pb_module et_flex_module\"><div class=\"et_pb_blurb_content et_flex_module\"><div class=\"et_pb_blurb_container\"><h3 class=\"et_pb_module_header\">Control and Automation<\/h3><div class=\"et_pb_blurb_description\"><p>Operating and auto\u00ad\u00admating buil\u00addings and equip\u00adment to minimize cost and improve per\u00adformance.<\/p>\n<\/div><\/div><\/div><\/div>\n\n<div class=\"et_pb_text_3 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module\"><div class=\"et_pb_text_inner\"><p><a href=\"\/control-and-automation\/\">learn more...<\/a><\/p>\n<\/div><\/div>\n\n<\/div>\n<div class=\"et_pb_column_5 et_pb_column et_flex_column et_pb_css_mix_blend_mode_passthrough et_clickable et_flex_column_24_24 et_flex_column_24_24_tabletWide hovergroup ns-linked\">\n<div class=\"et_pb_blurb_1 et_pb_blurb et_pb_bg_layout_light et_pb_blurb_position_top et_pb_module et_flex_module\"><div class=\"et_pb_blurb_content et_flex_module\"><div class=\"et_pb_blurb_container\"><h3 class=\"et_pb_module_header\">Predictive Maintenance<\/h3><div class=\"et_pb_blurb_description\"><p>Monitoring equip\u00adment to help identify potential issues early secures higher availability and reduces cost.<\/p>\n<\/div><\/div><\/div><\/div>\n\n<div class=\"et_pb_text_4 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module\"><div class=\"et_pb_text_inner\"><p><a href=\"\/control-and-automation\/\">learn more...<\/a><\/p>\n<\/div><\/div>\n\n<\/div>\n<div class=\"et_pb_column_6 et_pb_column et-last-child et_flex_column et_pb_css_mix_blend_mode_passthrough et_clickable et_flex_column_24_24 et_flex_column_24_24_tabletWide hovergroup ns-linked\">\n<div class=\"et_pb_blurb_2 et_pb_blurb et_pb_bg_layout_light et_pb_blurb_position_top et_pb_module et_flex_module\"><div class=\"et_pb_blurb_content et_flex_module\"><div class=\"et_pb_blurb_container\"><h3 class=\"et_pb_module_header\">IT Operations Management<\/h3><div class=\"et_pb_blurb_description\"><p>With AI possibilities, managing and ope\u00adrating high-perfor\u00adming IT environ\u00adments has become much easier.<\/p>\n<\/div><\/div><\/div><\/div>\n\n<div class=\"et_pb_text_5 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module\"><div class=\"et_pb_text_inner\"><p><a href=\"\/control-and-automation\/\">learn more...<\/a><\/p>\n<\/div><\/div>\n\n<\/div>\n<\/div>\n<\/div>\n<div class=\"et_pb_section_2 et_pb_section et_section_regular et_block_section ns-block ns-linkset\" id=\"identity\" lang=\"en\">\n<div class=\"et_pb_row_4 et_pb_row et_flex_row ns-prose\">\n<div class=\"et_pb_column_7 et_pb_column et-last-child et_block_column et_pb_css_mix_blend_mode_passthrough et_flex_column_24_24 et_flex_column_24_24_tablet et_flex_column_24_24_phone et_flex_column_24_24_tabletWide\">\n<div class=\"et_pb_text_6 et_pb_text et_pb_bg_layout_light et_pb_module et_flex_module\"><div class=\"et_pb_text_inner\"><h2 style=\"display: inline; margin: 0; padding: 0;\">Improving Customer Interactions<\/h2>\n<\/div><\/div>\n<\/div>\n<\/div>\n<div class=\"et_pb_row_5 et_pb_row et_flex_row\">\n<div class=\"et_pb_column_8 et_pb_column et_flex_column et_pb_css_mix_blend_mode_passthrough et_clickable et_flex_column_24_24 et_flex_column_24_24_tabletWide hovergroup ns-linked\">\n<div class=\"et_pb_blurb_3 et_pb_blurb et_pb_bg_layout_light et_pb_blurb_position_top et_pb_module et_flex_module\"><div class=\"et_pb_blurb_content et_flex_module\"><div class=\"et_pb_blurb_container\"><h3 class=\"et_pb_module_header\">AI-based Chatbots<\/h3><div class=\"et_pb_blurb_description\"><p>Delivering first customer contact points online that deliver solutions and value 24\/7 is a core capability.<\/p>\n<\/div><\/div><\/div><\/div>\n\n<div class=\"et_pb_text_7 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module\"><div class=\"et_pb_text_inner\"><p><a href=\"\/customer-interaction\/#chatbots\">learn more...<\/a><\/p>\n<\/div><\/div>\n\n<\/div>\n<div class=\"et_pb_column_9 et_pb_column et_flex_column et_pb_css_mix_blend_mode_passthrough et_clickable et_flex_column_24_24 et_flex_column_24_24_tabletWide hovergroup ns-linked\">\n<div class=\"et_pb_blurb_4 et_pb_blurb et_pb_bg_layout_light et_pb_blurb_position_top et_pb_module et_flex_module\"><div class=\"et_pb_blurb_content et_flex_module\"><div class=\"et_pb_blurb_container\"><h3 class=\"et_pb_module_header\">Call Centers with AI<\/h3><div class=\"et_pb_blurb_description\"><p>Providing natural language-based call center automations that help customers and reduce workload for humans<\/p>\n<\/div><\/div><\/div><\/div>\n\n<div class=\"et_pb_text_8 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module\"><div class=\"et_pb_text_inner\"><p><a href=\"\/customer-interaction\/#cc\">learn more...<\/a><\/p>\n<\/div><\/div>\n\n<\/div>\n<div class=\"et_pb_column_10 et_pb_column et-last-child et_flex_column et_pb_css_mix_blend_mode_passthrough et_clickable et_flex_column_24_24 et_flex_column_24_24_tabletWide hovergroup ns-linked\">\n<div class=\"et_pb_blurb_5 et_pb_blurb et_pb_bg_layout_light et_pb_blurb_position_top et_pb_module et_flex_module\"><div class=\"et_pb_blurb_content et_flex_module\"><div class=\"et_pb_blurb_container\"><h3 class=\"et_pb_module_header\">Customer Service<\/h3><div class=\"et_pb_blurb_description\"><p>Fully or partially automating\u00ad front-facing work\u00adflows\u00ad improves customer experiences and reduces cost.<\/p>\n<\/div><\/div><\/div><\/div>\n\n<div class=\"et_pb_text_9 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module\"><div class=\"et_pb_text_inner\"><p><a href=\"\/customer-interaction\/#service\">learn more...<\/a><\/p>\n<\/div><\/div>\n\n<\/div>\n<\/div>\n<\/div>\n<div class=\"et_pb_section_3 et_pb_section et_section_regular et_block_section ns-block ns-linkset\" id=\"identity\" lang=\"en\">\n<div class=\"et_pb_row_6 et_pb_row et_flex_row ns-prose\">\n<div class=\"et_pb_column_11 et_pb_column et-last-child et_block_column et_pb_css_mix_blend_mode_passthrough et_flex_column_24_24 et_flex_column_24_24_tablet et_flex_column_24_24_phone et_flex_column_24_24_tabletWide\">\n<div class=\"et_pb_text_10 et_pb_text et_pb_bg_layout_light et_pb_module et_flex_module\"><div class=\"et_pb_text_inner\"><h2 style=\"display: inline; margin: 0; padding: 0;\">Data and Knowledge Management<\/h2>\n<\/div><\/div>\n<\/div>\n<\/div>\n<div class=\"et_pb_row_7 et_pb_row et_flex_row\">\n<div class=\"et_pb_column_12 et_pb_column et_flex_column et_pb_css_mix_blend_mode_passthrough et_clickable et_flex_column_24_24 et_flex_column_24_24_tabletWide hovergroup ns-linked\">\n<div class=\"et_pb_blurb_6 et_pb_blurb et_pb_bg_layout_light et_pb_blurb_position_top et_pb_module et_flex_module\"><div class=\"et_pb_blurb_content et_flex_module\"><div class=\"et_pb_blurb_container\"><h3 class=\"et_pb_module_header\">Knowledge Management<\/h3><div class=\"et_pb_blurb_description\"><p>Making knowledge readily available for employees and customers alike creates better outcomes.<\/p>\n<\/div><\/div><\/div><\/div>\n\n<div class=\"et_pb_text_11 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module\"><div class=\"et_pb_text_inner\"><p><a href=\"\/data-and-knowledge-management\/#knowledge\">learn more...<\/a><\/p>\n<\/div><\/div>\n\n<\/div>\n<div class=\"et_pb_column_13 et_pb_column et_flex_column et_pb_css_mix_blend_mode_passthrough et_clickable et_flex_column_24_24 et_flex_column_24_24_tabletWide hovergroup ns-linked\">\n<div class=\"et_pb_blurb_7 et_pb_blurb et_pb_bg_layout_light et_pb_blurb_position_top et_pb_module et_flex_module\"><div class=\"et_pb_blurb_content et_flex_module\"><div class=\"et_pb_blurb_container\"><h3 class=\"et_pb_module_header\">Data Lakes\/ Warehouses<\/h3><div class=\"et_pb_blurb_description\"><p>Making large data easily available across systems provides the ability to efficiently run a business.<\/p>\n<\/div><\/div><\/div><\/div>\n\n<div class=\"et_pb_text_12 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module\"><div class=\"et_pb_text_inner\"><p><a href=\"\/data-and-knowledge-management\/#datalakes\">learn more...<\/a><\/p>\n<\/div><\/div>\n\n<\/div>\n<div class=\"et_pb_column_14 et_pb_column et-last-child et_flex_column et_pb_css_mix_blend_mode_passthrough et_clickable et_flex_column_24_24 et_flex_column_24_24_tabletWide hovergroup ns-linked\">\n<div class=\"et_pb_blurb_8 et_pb_blurb et_pb_bg_layout_light et_pb_blurb_position_top et_pb_module et_flex_module\"><div class=\"et_pb_blurb_content et_flex_module\"><div class=\"et_pb_blurb_container\"><h3 class=\"et_pb_module_header\">Document Processing<\/h3><div class=\"et_pb_blurb_description\"><p>Automatically\u00a0 pro\u00adces\u00adsing incoming docu\u00adments with high accuracy stream\u00adlines busi\u00adness processes.<\/p>\n<\/div><\/div><\/div><\/div>\n\n<div class=\"et_pb_text_13 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module\"><div class=\"et_pb_text_inner\"><p><a href=\"\/data-and-knowledge-management\/#docprocessing\">learn more...<\/a><\/p>\n<\/div><\/div>\n\n<\/div>\n<\/div>\n<\/div>\n\n\n<div class=\"et_pb_section_4 et_pb_section et_section_regular et_block_section\">\n\n\n\n\n\n<\/div>\n\n<div class=\"et_pb_section_5 et_pb_section et_section_regular et_block_section\">\n\n\n<div class=\"et_pb_row_8 et_pb_row et_flex_row ns-carousel\">\n<div class=\"et_pb_column_15 et_pb_column et-last-child et_flex_column et_pb_css_mix_blend_mode_passthrough et_flex_column_24_24 et_flex_column_24_24_tablet et_flex_column_24_24_phone et_flex_column_24_24_tabletWide\">\n<div class=\"et_pb_code_1 et_pb_code et_pb_module\"><div class=\"et_pb_code_inner\"><div class=\"nsp-frame\"><div class=\"nsp-frame-head\"><h2>Featured Projects<\/h2><\/div><div class=\"nsp-carousel-wrap\" data-base-width=\"240\" data-loop=\"1\"><button type=\"button\" class=\"nsp-nav nsp-prev\" aria-label=\"Previous\"><span class=\"nsp-nav-icon et-pb-icon\" aria-hidden=\"true\">&#x34;<\/span><\/button><div class=\"nsp-carousel\">\t\t<article class=\"nsp-card\" tabindex=\"0\" role=\"button\" data-id=\"3\" aria-label=\"RAG-driven Legal Chatbot\">\n\t\t\t\t\t\t\t\t\t\t<div class=\"nsp-card-iconwrap\"><i class=\"nsp-card-icon fa-solid fa-section\" aria-hidden=\"true\"><\/i><\/div>\n\t\t\t\t\t\t<h3 class=\"nsp-card-title\">RAG-driven Legal Chatbot<\/h3>\n\t\t\t\t\t\t\t\t\t\t<p class=\"nsp-card-excerpt\">A small-to-medium language model reliably answering German legal questions based on a strong RAG pipeline.<\/p>\n\t\t\t\t\t\t\t\t\t\t<span class=\"nsp-card-more\">read more\u2026<\/span>\n\t\t\t\t\t<\/article>\n\t\t\t\t<article class=\"nsp-card\" tabindex=\"0\" role=\"button\" data-id=\"7\" aria-label=\"Generative AI Audit Framework\">\n\t\t\t\t\t\t\t\t\t\t<div class=\"nsp-card-iconwrap\"><span class=\"nsp-card-icon et-pb-icon\" aria-hidden=\"true\">&#xe0f7;<\/span><\/div>\n\t\t\t\t\t\t<h3 class=\"nsp-card-title\">Generative AI Audit Framework<\/h3>\n\t\t\t\t\t\t\t\t\t\t<p class=\"nsp-card-excerpt\">Development of a structured Generative AI audit framework. This included establishing a methodology for Level 1 and Level 2 GenAI audits<\/p>\n\t\t\t\t\t\t\t\t\t\t<span class=\"nsp-card-more\">read more\u2026<\/span>\n\t\t\t\t\t<\/article>\n\t\t\t\t<article class=\"nsp-card\" tabindex=\"0\" role=\"button\" data-id=\"10\" aria-label=\"International Process Digitalization in Facility Management\">\n\t\t\t\t\t\t\t\t\t\t<div class=\"nsp-card-iconwrap\"><span class=\"nsp-card-icon et-pb-icon\" aria-hidden=\"true\">&#xe035;<\/span><\/div>\n\t\t\t\t\t\t<h3 class=\"nsp-card-title\">International Process Digitalization in Facility Management<\/h3>\n\t\t\t\t\t\t\t\t\t\t<p class=\"nsp-card-excerpt\">Transformation and standardization of international facility management processes through the introduction of scalable structures.<\/p>\n\t\t\t\t\t\t\t\t\t\t<span class=\"nsp-card-more\">read more\u2026<\/span>\n\t\t\t\t\t<\/article>\n\t\t\t\t<article class=\"nsp-card\" tabindex=\"0\" role=\"button\" data-id=\"11\" aria-label=\"ERP\/CRM Product Development &amp; Process Digitalization\">\n\t\t\t\t\t\t\t\t\t\t<div class=\"nsp-card-iconwrap\"><span class=\"nsp-card-icon et-pb-icon\" aria-hidden=\"true\">&#xe00d;<\/span><\/div>\n\t\t\t\t\t\t<h3 class=\"nsp-card-title\">ERP\/CRM Product Development &amp; Process Digitalization<\/h3>\n\t\t\t\t\t\t\t\t\t\t<p class=\"nsp-card-excerpt\">Development and implementation of a modular ERP\/CRM system to digitalize central business processes.<\/p>\n\t\t\t\t\t\t\t\t\t\t<span class=\"nsp-card-more\">read more\u2026<\/span>\n\t\t\t\t\t<\/article>\n\t\t\t\t<article class=\"nsp-card\" tabindex=\"0\" role=\"button\" data-id=\"12\" aria-label=\"Intelligent Data Retrieval Agent\">\n\t\t\t\t\t\t\t\t\t\t<div class=\"nsp-card-iconwrap\"><span class=\"nsp-card-icon et-pb-icon\" aria-hidden=\"true\">&#xe0f7;<\/span><\/div>\n\t\t\t\t\t\t<h3 class=\"nsp-card-title\">Intelligent Data Retrieval Agent<\/h3>\n\t\t\t\t\t\t\t\t\t\t<p class=\"nsp-card-excerpt\">Production-ready AI retrieval system using LLMs and semantic search to transform fragmented data into reliable, searchable knowledge.<\/p>\n\t\t\t\t\t\t\t\t\t\t<span class=\"nsp-card-more\">read more\u2026<\/span>\n\t\t\t\t\t<\/article>\n\t\t\t\t<article class=\"nsp-card\" tabindex=\"0\" role=\"button\" data-id=\"13\" aria-label=\"Visual Search Recommendations\">\n\t\t\t\t\t\t\t\t\t\t<div class=\"nsp-card-iconwrap\"><i class=\"nsp-card-icon fa-solid fa-socks\" aria-hidden=\"true\"><\/i><\/div>\n\t\t\t\t\t\t<h3 class=\"nsp-card-title\">Visual Search Recommendations<\/h3>\n\t\t\t\t\t\t\t\t\t\t<p class=\"nsp-card-excerpt\">eCommmerce plugin that enables searching for visually similar products, helping customers to find and compare multiple related items.<\/p>\n\t\t\t\t\t\t\t\t\t\t<span class=\"nsp-card-more\">read more\u2026<\/span>\n\t\t\t\t\t<\/article>\n\t\t\t\t<article class=\"nsp-card\" tabindex=\"0\" role=\"button\" data-id=\"14\" aria-label=\"Visual Assistance for Seniors\">\n\t\t\t\t\t\t\t\t\t\t<div class=\"nsp-card-iconwrap\"><i class=\"nsp-card-icon fa-solid fa-glasses\" aria-hidden=\"true\"><\/i><\/div>\n\t\t\t\t\t\t<h3 class=\"nsp-card-title\">Visual Assistance for Seniors<\/h3>\n\t\t\t\t\t\t\t\t\t\t<p class=\"nsp-card-excerpt\">Visual Assistance App: enabling visual assistance for seniors by helping position determination using Computer Vision and Deep Learning.<\/p>\n\t\t\t\t\t\t\t\t\t\t<span class=\"nsp-card-more\">read more\u2026<\/span>\n\t\t\t\t\t<\/article>\n\t\t\t\t<article class=\"nsp-card nsp-card--no-popup\" aria-label=\"Digital Platform Adoption in Complementary Therapy\">\n\t\t\t\t\t\t\t\t\t<h3 class=\"nsp-card-title\">Digital Platform Adoption in Complementary Therapy<\/h3>\n\t\t\t\t\t\t\t\t\t\t<p class=\"nsp-card-excerpt\">Leading market readiness for a patient outcome measurement platform in a highly regulated, change averse healthcare niche, combining custome<\/p>\n\t\t\t\t\t\t\t\t<\/article>\n\t\t\t\t<article class=\"nsp-card\" tabindex=\"0\" role=\"button\" data-id=\"18\" aria-label=\"CertGrep Suite \u2014 AI-assisted development under governance\">\n\t\t\t\t\t\t\t\t\t\t<div class=\"nsp-card-iconwrap\"><i class=\"nsp-card-icon fa-solid fa-anchor\" aria-hidden=\"true\"><\/i><\/div>\n\t\t\t\t\t\t<h3 class=\"nsp-card-title\">CertGrep Suite \u2014 AI-assisted development under governance<\/h3>\n\t\t\t\t\t\t\t\t\t\t<p class=\"nsp-card-excerpt\">Post-quantum-aware X.509 analysis toolkit, built with AI pair-programming and AI-driven SAST\/DAST security scans. EU AI Act compliant.<\/p>\n\t\t\t\t\t\t\t\t\t\t<span class=\"nsp-card-more\">read more\u2026<\/span>\n\t\t\t\t\t<\/article>\n\t\t\t\t<article class=\"nsp-card\" tabindex=\"0\" role=\"button\" data-id=\"19\" aria-label=\"Curiosity Lab \u2014 making LLM behavior visible\">\n\t\t\t\t\t\t\t\t\t\t<div class=\"nsp-card-iconwrap\"><span class=\"nsp-card-icon et-pb-icon\" aria-hidden=\"true\">&#x55;<\/span><\/div>\n\t\t\t\t\t\t<h3 class=\"nsp-card-title\">Curiosity Lab \u2014 making LLM behavior visible<\/h3>\n\t\t\t\t\t\t\t\t\t\t<p class=\"nsp-card-excerpt\">Desktop client for Claude and other popular LLM frontier models, with a simple system prompt and predefined &quot;curiosity riders&quot; for demos.<\/p>\n\t\t\t\t\t\t\t\t\t\t<span class=\"nsp-card-more\">read more\u2026<\/span>\n\t\t\t\t\t<\/article>\n\t\t\t\t<article class=\"nsp-card\" tabindex=\"0\" role=\"button\" data-id=\"20\" aria-label=\"Web-Print \u2014 a tool packaged as a Claude agent skill\">\n\t\t\t\t\t\t\t\t\t\t<div class=\"nsp-card-iconwrap\"><i class=\"nsp-card-icon fa-solid fa-print\" aria-hidden=\"true\"><\/i><\/div>\n\t\t\t\t\t\t<h3 class=\"nsp-card-title\">Web-Print \u2014 a tool packaged as a Claude agent skill<\/h3>\n\t\t\t\t\t\t\t\t\t\t<p class=\"nsp-card-excerpt\">A page-capture utility as a Claude Code skill and plugin, to fix poorly printing web pages due to HTML\/CSS gaps.<\/p>\n\t\t\t\t\t\t\t\t\t\t<span class=\"nsp-card-more\">read more\u2026<\/span>\n\t\t\t\t\t<\/article>\n\t\t\t\t<article class=\"nsp-card\" tabindex=\"0\" role=\"button\" data-id=\"21\" aria-label=\"Keyfactor EJBCA \u2014 AI-assisted code contributions, merged by the vendor\">\n\t\t\t\t\t\t\t\t\t\t<div class=\"nsp-card-iconwrap\"><span class=\"nsp-card-icon et-pb-icon\" aria-hidden=\"true\">&#x5a;<\/span><\/div>\n\t\t\t\t\t\t<h3 class=\"nsp-card-title\">Keyfactor EJBCA \u2014 AI-assisted code contributions, merged by the vendor<\/h3>\n\t\t\t\t\t\t\t\t\t\t<p class=\"nsp-card-excerpt\">Code developed with AI assistance for the open-source EJBCA K8S cert-manager issuer, submitted to the vendor and accepted.<\/p>\n\t\t\t\t\t\t\t\t\t\t<span class=\"nsp-card-more\">read more\u2026<\/span>\n\t\t\t\t\t<\/article>\n\t\t\t\t<article class=\"nsp-card\" tabindex=\"0\" role=\"button\" data-id=\"22\" aria-label=\"AI &amp; Robotics Use Cases \u2013 MIT Sloan \/ CSAIL\">\n\t\t\t\t\t\t\t\t\t\t<div class=\"nsp-card-iconwrap\"><span class=\"nsp-card-icon et-pb-icon\" aria-hidden=\"true\">&#xe0ef;<\/span><\/div>\n\t\t\t\t\t\t<h3 class=\"nsp-card-title\">AI &amp; Robotics Use Cases \u2013 MIT Sloan \/ CSAIL<\/h3>\n\t\t\t\t\t\t\t\t\t\t<p class=\"nsp-card-excerpt\">Developed and assessed AI and robotics use cases for a global facilities management company within the MIT Sloan\/CSAIL program.<\/p>\n\t\t\t\t\t\t\t\t\t\t<span class=\"nsp-card-more\">read more\u2026<\/span>\n\t\t\t\t\t<\/article>\n\t\t\t\t<article class=\"nsp-card\" tabindex=\"0\" role=\"button\" data-id=\"23\" aria-label=\"RAG-Based Enterprise Knowledge Assistant\">\n\t\t\t\t\t\t\t\t\t\t<div class=\"nsp-card-iconwrap\"><i class=\"nsp-card-icon fa-regular fa-folder-open\" aria-hidden=\"true\"><\/i><\/div>\n\t\t\t\t\t\t<h3 class=\"nsp-card-title\">RAG-Based Enterprise Knowledge Assistant<\/h3>\n\t\t\t\t\t\t\t\t\t\t<p class=\"nsp-card-excerpt\">Designed RAG-based AI assistants that turn fragmented documents and expert knowledge into accessible, context-aware enterprise knowledge.<\/p>\n\t\t\t\t\t\t\t\t\t\t<span class=\"nsp-card-more\">read more\u2026<\/span>\n\t\t\t\t\t<\/article>\n\t\t\t\t<article class=\"nsp-card\" tabindex=\"0\" role=\"button\" data-id=\"24\" aria-label=\"Global Test Center of Excellence &amp; AI-Assisted Testing\">\n\t\t\t\t\t\t\t\t\t\t<div class=\"nsp-card-iconwrap\"><span class=\"nsp-card-icon et-pb-icon\" aria-hidden=\"true\">&#xe00e;<\/span><\/div>\n\t\t\t\t\t\t<h3 class=\"nsp-card-title\">Global Test Center of Excellence &amp; AI-Assisted Testing<\/h3>\n\t\t\t\t\t\t\t\t\t\t<p class=\"nsp-card-excerpt\">Established a global Test Center of Excellence and introduced AI-assisted testing, including AI-generated software test cases.<\/p>\n\t\t\t\t\t\t\t\t\t\t<span class=\"nsp-card-more\">read more\u2026<\/span>\n\t\t\t\t\t<\/article>\n\t\t\t\t<article class=\"nsp-card\" tabindex=\"0\" role=\"button\" data-id=\"1\" aria-label=\"Electrical Switch Monitor\">\n\t\t\t\t\t\t\t\t\t\t<div class=\"nsp-card-iconwrap\"><i class=\"nsp-card-icon fa-solid fa-toggle-on\" aria-hidden=\"true\"><\/i><\/div>\n\t\t\t\t\t\t<h3 class=\"nsp-card-title\">Electrical Switch Monitor<\/h3>\n\t\t\t\t\t\t\t\t\t\t<p class=\"nsp-card-excerpt\">Public transportation: using AI-driven vision to monitor old-fashioned electrical relays and also to evaluate potential failures for predictive maintenance.<\/p>\n\t\t\t\t\t\t\t\t\t\t<span class=\"nsp-card-more\">read more\u2026<\/span>\n\t\t\t\t\t<\/article>\n\t\t\t\t<article class=\"nsp-card\" tabindex=\"0\" role=\"button\" data-id=\"5\" aria-label=\"Hydropower Plant Operations\">\n\t\t\t\t\t\t\t\t\t\t<div class=\"nsp-card-iconwrap\"><i class=\"nsp-card-icon fa-solid fa-water\" aria-hidden=\"true\"><\/i><\/div>\n\t\t\t\t\t\t<h3 class=\"nsp-card-title\">Hydropower Plant Operations<\/h3>\n\t\t\t\t\t\t\t\t\t\t<p class=\"nsp-card-excerpt\">Create a control and monitoring solution for all plant operations, including predictive maintenance logic and intrusion mon\u00aditoring.<\/p>\n\t\t\t\t\t\t\t\t\t\t<span class=\"nsp-card-more\">read more\u2026<\/span>\n\t\t\t\t\t<\/article>\n\t\t\t\t<article class=\"nsp-card\" tabindex=\"0\" role=\"button\" data-id=\"2\" aria-label=\"Customer Interaction Analysis\">\n\t\t\t\t\t\t\t\t\t\t<div class=\"nsp-card-iconwrap\"><span class=\"nsp-card-icon et-pb-icon\" aria-hidden=\"true\">&#x77;<\/span><\/div>\n\t\t\t\t\t\t<h3 class=\"nsp-card-title\">Customer Interaction Analysis<\/h3>\n\t\t\t\t\t\t\t\t\t\t<p class=\"nsp-card-excerpt\">SaaS project platform: the objective was to evaluate dialogue quality using an AI model to ensure timely intervention and customer care.<\/p>\n\t\t\t\t\t\t\t\t\t\t<span class=\"nsp-card-more\">read more\u2026<\/span>\n\t\t\t\t\t<\/article>\n\t\t\t\t<article class=\"nsp-card\" tabindex=\"0\" role=\"button\" data-id=\"6\" aria-label=\"Motion-sensitive wearables\">\n\t\t\t\t\t\t\t\t\t\t<div class=\"nsp-card-iconwrap\"><i class=\"nsp-card-icon fa-solid fa-shirt\" aria-hidden=\"true\"><\/i><\/div>\n\t\t\t\t\t\t<h3 class=\"nsp-card-title\">Motion-sensitive wearables<\/h3>\n\t\t\t\t\t\t\t\t\t\t<p class=\"nsp-card-excerpt\">Wearable fabric-based devices with embedded microcontrollers and sensitivity for motion, heartbeat, body temperature and sweat detection.<\/p>\n\t\t\t\t\t\t\t\t\t\t<span class=\"nsp-card-more\">read more\u2026<\/span>\n\t\t\t\t\t<\/article>\n\t\t\t\t<article class=\"nsp-card\" tabindex=\"0\" role=\"button\" data-id=\"4\" aria-label=\"IT Operations Automation\">\n\t\t\t\t\t\t\t\t\t\t<div class=\"nsp-card-iconwrap\"><i class=\"nsp-card-icon fa-solid fa-network-wired\" aria-hidden=\"true\"><\/i><\/div>\n\t\t\t\t\t\t<h3 class=\"nsp-card-title\">IT Operations Automation<\/h3>\n\t\t\t\t\t\t\t\t\t\t<p class=\"nsp-card-excerpt\">Financial Services: develop strategy and business cases to introduce automation and AI into the IT operations environment.<\/p>\n\t\t\t\t\t\t\t\t\t\t<span class=\"nsp-card-more\">read more\u2026<\/span>\n\t\t\t\t\t<\/article>\n\t\t<\/div><button type=\"button\" class=\"nsp-nav nsp-next\" aria-label=\"Next\"><span class=\"nsp-nav-icon et-pb-icon\" aria-hidden=\"true\">&#x35;<\/span><\/button><\/div><script>(function(){\n\t\t\tif (!window.nspComputeLayout) {\n\t\t\t\twindow.NSP_BASE_CARD_WIDTH = 240;\n\t\t\t\twindow.nspIsFluidWidth = function(){ return window.innerWidth > 640; };\n\t\t\t\twindow.nspComputeLayout = function(available, gap, totalCards, baseWidth){\n\t\t\t\t\tvar BASE = baseWidth || window.NSP_BASE_CARD_WIDTH;\n\t\t\t\t\tavailable = Math.max(0, available || 0);\n\t\t\t\t\tgap = Math.max(0, gap || 0);\n\t\t\t\t\ttotalCards = Math.max(0, totalCards || 0);\n\t\t\t\t\tif (!totalCards){\n\t\t\t\t\t\treturn { count: 0, width: BASE, center: true };\n\t\t\t\t\t}\n\t\t\t\t\tvar per = BASE + gap;\n\t\t\t\t\tvar baseCount = Math.max(1, Math.floor((available + gap) \/ per));\n\t\t\t\t\tvar used = baseCount * BASE + (baseCount - 1) * gap;\n\t\t\t\t\tvar remainder = available - used;\n\t\t\t\t\t\/\/ Only create an extra visible slot when there is actually another card to fill it.\n\t\t\t\t\t\/\/ If exactly the base-width row count is present, distribute those cards evenly\n\t\t\t\t\t\/\/ across the row instead of leaving them beside a phantom extra slot.\n\t\t\t\t\tvar fullCount = (totalCards > baseCount && remainder >= (2 \/ 3) * BASE) ? baseCount + 1 : baseCount;\n\t\t\t\t\tfullCount = Math.max(1, fullCount);\n\t\t\t\t\tvar fullWidth = (available - (fullCount - 1) * gap) \/ fullCount;\n\t\t\t\t\tif (!isFinite(fullWidth) || fullWidth <= 0){ fullWidth = BASE; }\n\n\t\t\t\t\t\/\/ One or two cards should never grow just because the row is wide.\n\t\t\t\t\t\/\/ They keep the base width, sit at the left, and leave the rest of the row empty.\n\t\t\t\t\tif (totalCards < 3){\n\t\t\t\t\t\tvar smallMax = (available - (totalCards - 1) * gap) \/ totalCards;\n\t\t\t\t\t\tvar smallWidth = (isFinite(smallMax) && smallMax > 0) ? Math.min(BASE, smallMax) : BASE;\n\t\t\t\t\t\treturn { count: totalCards, width: smallWidth, center: false };\n\t\t\t\t\t}\n\n\t\t\t\t\t\/\/ If there are fewer cards than a full row would hold, keep the full-row\n\t\t\t\t\t\/\/ card width rather than stretching those few across the whole row, and\n\t\t\t\t\t\/\/ leave the remaining slots empty. Left-aligned, as the master grid is.\n\t\t\t\t\tif (totalCards < fullCount){\n\t\t\t\t\t\treturn { count: totalCards, width: fullWidth, center: false };\n\t\t\t\t\t}\n\n\t\t\t\t\tvar count = Math.min(fullCount, totalCards);\n\t\t\t\t\treturn { count: count, width: fullWidth, center: false };\n\t\t\t\t};\n\t\t\t\t\/\/ Centre the chevrons on the media block of a card rather than on\n\t\t\t\t\/\/ the whole card: on people cards that is the square photo\n\t\t\t\t\/\/ (whose height tracks the fluid card width, so it cannot be\n\t\t\t\t\/\/ expressed in CSS), on project cards the icon block. Published\n\t\t\t\t\/\/ as a custom property the stylesheet reads.\n\t\t\t\twindow.nspTrackPadX = function(track){\n\t\t\t\t\tvar cs = window.getComputedStyle(track);\n\t\t\t\t\treturn (parseFloat(cs.paddingLeft) || 0) + (parseFloat(cs.paddingRight) || 0);\n\t\t\t\t};\n\t\t\t\twindow.nspSyncNav = function(wrap){\n\t\t\t\t\t\/\/ People cards anchor on the photo, which is the visual mass of\n\t\t\t\t\t\/\/ the card. Project cards have no photo -- only a small icon\n\t\t\t\t\t\/\/ at the top -- so they anchor on the card panel itself and\n\t\t\t\t\t\/\/ the arrows land on its vertical centre. Measuring against\n\t\t\t\t\t\/\/ the wrap in viewport coordinates absorbs the track padding\n\t\t\t\t\t\/\/ and card margins without restating any of them here.\n\t\t\t\t\tvar media = wrap.querySelector(\".nsp-card-photo\")\n\t\t\t\t\t\t|| wrap.querySelector(\".nsp-card\");\n\t\t\t\t\tif (!media){ return; }\n\t\t\t\t\tvar r = media.getBoundingClientRect();\n\t\t\t\t\tif (!r.height){ return; }\n\t\t\t\t\tvar w = wrap.getBoundingClientRect();\n\t\t\t\t\twrap.style.setProperty(\"--nsp-nav-top\", ((r.top - w.top) + r.height \/ 2) + \"px\");\n\t\t\t\t};\n\t\t\t}\n\t\t\tvar wrap = document.currentScript.previousElementSibling;\n\t\t\tif(!wrap){ return; }\n\t\t\t\/\/ The frame carries the visible panel, so it has to be revealed\n\t\t\t\/\/ together with the wrap -- otherwise an empty framed box paints\n\t\t\t\/\/ before the cards have been sized into it.\n\t\t\tfunction reveal(w){\n\t\t\t\tw.style.visibility = \"visible\";\n\t\t\t\tvar f = w.parentNode;\n\t\t\t\tif (f && f.classList && f.classList.contains(\"nsp-frame\")){ f.style.visibility = \"visible\"; }\n\t\t\t}\n\t\t\tvar baseWidth = parseInt(wrap.getAttribute(\"data-base-width\"), 10) || window.NSP_BASE_CARD_WIDTH;\n\t\t\tvar track = wrap.querySelector(\".nsp-carousel\");\n\t\t\tvar cards = track ? track.querySelectorAll(\".nsp-card\") : [];\n\t\t\tif(!track || !cards.length){ if (window.nspSyncNav){ window.nspSyncNav(wrap); }\n\t\t\treveal(wrap); return; }\n\t\t\t\/\/ Read from the stylesheet rather than restating it: a hard-coded copy\n\t\t\t\/\/ here is exactly how the gutter drifted from the CSS before.\n\t\t\tvar gap = parseFloat(window.getComputedStyle(track).columnGap) || 24;\n\t\t\tif (!window.nspIsFluidWidth()) {\n\t\t\t\t\/\/ Mobile: unchanged -- fixed per-card width (CSS 82vw), just avoid a partial\n\t\t\t\t\/\/ card peeking out at the wrap edge.\n\t\t\t\tvar cardW = cards[0].getBoundingClientRect().width;\n\t\t\t\tif(!cardW){ if (window.nspSyncNav){ window.nspSyncNav(wrap); }\n\t\t\treveal(wrap); return; }\n\t\t\t\t\/\/ clientWidth is the PADDING box, so the track padding has to come\n\t\t\t\t\/\/ off before this is the room the cards actually get.\n\t\t\t\tvar available0 = track.clientWidth - window.nspTrackPadX(track);\n\t\t\t\tvar fitCount = Math.max(1, Math.floor((available0 + gap) \/ (cardW + gap)));\n\t\t\t\tvar count0 = Math.min(fitCount, cards.length);\n\t\t\t\tvar needed0 = count0 * cardW + (count0 - 1) * gap;\n\t\t\t\tvar ws0 = window.getComputedStyle(wrap);\n\t\t\t\tvar padX0 = (parseFloat(ws0.paddingLeft) || 0) + (parseFloat(ws0.paddingRight) || 0);\n\t\t\t\tvar target0 = needed0 + window.nspTrackPadX(track) + (ws0.boxSizing === \"border-box\" ? padX0 : 0);\n\t\t\t\twrap.style.maxWidth = Math.ceil(target0) + \"px\";\n\t\t\t\tif (window.nspSyncNav){ window.nspSyncNav(wrap); }\n\t\t\treveal(wrap);\n\t\t\t\treturn;\n\t\t\t}\n\t\t\t\/\/ Desktop\/tablet: fluid card width, filling the row exactly either way.\n\t\t\t\/\/ clientWidth is the PADDING box -- take the track padding off it.\n\t\t\tvar available = track.clientWidth - window.nspTrackPadX(track);\n\t\t\tvar layout = window.nspComputeLayout(available, gap, cards.length, baseWidth);\n\t\t\tfor (var i = 0; i < cards.length; i++){ cards[i].style.flex = \"0 0 \" + layout.width + \"px\"; }\n\t\t\tif (layout.center) {\n\t\t\t\tvar totalW = layout.count * layout.width + (layout.count - 1) * gap;\n\t\t\t\twrap.style.maxWidth = Math.ceil(totalW + window.nspTrackPadX(track)) + \"px\";\n\t\t\t\twrap.style.marginLeft = \"auto\";\n\t\t\t\twrap.style.marginRight = \"auto\";\n\t\t\t}\n\t\t\tif (window.nspSyncNav){ window.nspSyncNav(wrap); }\n\t\t\treveal(wrap);\n\t\t})();<\/script><\/div><noscript><style>.nsp-carousel-wrap,.nsp-frame{visibility:visible !important;}<\/style><\/noscript><div class=\"nsp-popups\" hidden><template class=\"nsp-popup-tpl\" data-id=\"3\">\t\t<div class=\"nsp-dialog no-image\">\n\t\t\t<button type=\"button\" class=\"nsp-close\" aria-label=\"Close\">&times;<\/button>\n\t\t\t<div class=\"nsp-dlg-h\">\n\t\t\t\t<i class=\"nsp-pop-icon fa-solid fa-section\" aria-hidden=\"true\"><\/i>\t\t\t\t<span class=\"nsp-dlg-h-title\">RAG-driven Legal Chatbot<\/span>\n\t\t\t<\/div>\n\t\t\t<div class=\"nsp-pop-cols\">\n\t\t\t\t<div class=\"nsp-pop-main\">\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"nsp-pop-desc\"><p>An AI-supported RAG-Chatbot developed for legal and administrative workflows. Designed to support caseworkers in navigating complex regulations - currently focused on German Social Welfare - the system provides fast, contextual access to relevant legal information and assists in decision-making for applications and case management. The modular architecture allows seamless expansion into additional legal domains and regulatory frameworks.<\/p>\n<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\n\t\t\t\t\t\t\t<ul class=\"nsp-chiplist nsp-pop-caps\">\n\t\t\t\t\t\t\t\t\t\t\t<li class=\"nsp-chip\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\/nlp\">Natural Language Processing<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t<\/div>\n\t\t<\/template><template class=\"nsp-popup-tpl\" data-id=\"7\">\t\t<div class=\"nsp-dialog no-image\">\n\t\t\t<button type=\"button\" class=\"nsp-close\" aria-label=\"Close\">&times;<\/button>\n\t\t\t<div class=\"nsp-dlg-h\">\n\t\t\t\t<span class=\"nsp-pop-icon et-pb-icon\" aria-hidden=\"true\">&#xe0f7;<\/span>\t\t\t\t<span class=\"nsp-dlg-h-title\">Generative AI Audit Framework<\/span>\n\t\t\t<\/div>\n\t\t\t<div class=\"nsp-pop-cols\">\n\t\t\t\t<div class=\"nsp-pop-main\">\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"nsp-pop-desc\"><p>Development of a multidimensional Blackbox Chatbot Audit framework for evaluating chatbot user experience and business value in customer service environments. The audit methodology combines structured use-case testing with qualitative and quantitative evaluation dimensions, including answer quality, response speed, dialogue quality, and user interface assessment.<\/p>\n<p>The framework also incorporates hallucination testing and edge-case analysis to assess robustness and real-world usability. The project included extensive market and user-frustration research, methodology development, pilot implementation, and iterative testing and retesting phases. The resulting audit framework is used to evaluate chatbot performance, identify optimization potential, and assess user retention likelihood and overall business impact.<\/p>\n<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\n\t\t\t\t\t\t\t<ul class=\"nsp-chiplist nsp-pop-caps\">\n\t\t\t\t\t\t\t\t\t\t\t<li class=\"nsp-chip\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\/governance-and-ethics\">Governance<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t\t\t<li class=\"nsp-chip\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\/nlp\">Natural Language Processing<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t<\/div>\n\t\t<\/template><template class=\"nsp-popup-tpl\" data-id=\"10\">\t\t<div class=\"nsp-dialog no-image\">\n\t\t\t<button type=\"button\" class=\"nsp-close\" aria-label=\"Close\">&times;<\/button>\n\t\t\t<div class=\"nsp-dlg-h\">\n\t\t\t\t<span class=\"nsp-pop-icon et-pb-icon\" aria-hidden=\"true\">&#xe035;<\/span>\t\t\t\t<span class=\"nsp-dlg-h-title\">International Process Digitalization in Facility Management<\/span>\n\t\t\t<\/div>\n\t\t\t<div class=\"nsp-pop-cols\">\n\t\t\t\t<div class=\"nsp-pop-main\">\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"nsp-pop-desc\"><p>Supported the transformation and standardization of international facility management processes by designing scalable end-to-end process and service structures. <\/p>\n<p>The project included gathering and harmonizing requirements across multiple country organizations, translating business needs into digital process and system solutions, and coordinating international rollouts including SIT, UAT, training, and change management. <\/p>\n<p>Consistent process modeling and documentation using BPMN 2.0 and SAP Signavio helped establish sustainable governance, transparency, and operational efficiency.<\/p>\n<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"nsp-pop-role nsp-pop-role--below\"><p>SAP Signavio, BPMN 2.0, ERP Systems, Digital Workflow Platforms, Interface Integration, SIT\/UAT, Requirements Management<\/p>\n<\/div>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\n\t\t\t\t\t\t\t<ul class=\"nsp-chiplist nsp-pop-caps\">\n\t\t\t\t\t\t\t\t\t\t\t<li class=\"nsp-chip\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\/vision\">Computer Vision<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t\t\t<li class=\"nsp-chip\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\/control-and-automation\">Automation<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t\t\t<li class=\"nsp-chip\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\/automation-and-control\">Infrastructure Management<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t\t\t<li class=\"nsp-chip\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tHuman-Technology Interaction\t\t\t\t\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t<\/div>\n\t\t<\/template><template class=\"nsp-popup-tpl\" data-id=\"11\">\t\t<div class=\"nsp-dialog no-image\">\n\t\t\t<button type=\"button\" class=\"nsp-close\" aria-label=\"Close\">&times;<\/button>\n\t\t\t<div class=\"nsp-dlg-h\">\n\t\t\t\t<span class=\"nsp-pop-icon et-pb-icon\" aria-hidden=\"true\">&#xe00d;<\/span>\t\t\t\t<span class=\"nsp-dlg-h-title\">ERP\/CRM Product Development &amp; Process Digitalization<\/span>\n\t\t\t<\/div>\n\t\t\t<div class=\"nsp-pop-cols\">\n\t\t\t\t<div class=\"nsp-pop-main\">\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"nsp-pop-desc\"><p>Led the development and implementation of a modular ERP\/CRM system to digitalize central business processes.<\/p>\n<p>The project included end-to-end product ownership, requirements analysis, prioritization, and scaling of the system, including mobile solutions and extensions.<\/p>\n<p>Responsibilities also covered the management of cross-functional development teams, the establishment of testing, quality, and operations processes, and the introduction of ITIL-based change and incident structures. Governance, KPI, PMO, and documentation standards were developed to support sustainable product and project management, while product strategy and stakeholder alignment were managed at leadership level.<\/p>\n<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"nsp-pop-role nsp-pop-role--below\"><p>ERP\/CRM Systems, Mobile Solutions, Agile Product Development, Requirements Management, UAT, ITIL, Change &amp; Incident Management, KPI\/PMO Structures, Stakeholder Management<\/p>\n<\/div>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\n\t\t\t\t\t\t\t<ul class=\"nsp-chiplist nsp-pop-caps\">\n\t\t\t\t\t\t\t\t\t\t\t<li class=\"nsp-chip\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\/vision\">Computer Vision<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t\t\t<li class=\"nsp-chip\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\/control-and-automation\">Automation<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t\t\t<li class=\"nsp-chip\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\/automation-and-control\">Infrastructure Management<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t\t\t<li class=\"nsp-chip\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\/data-and-knowledge-management\/\">Data Warehouse<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t\t\t<li class=\"nsp-chip\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tHuman-Technology Interaction\t\t\t\t\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t<\/div>\n\t\t<\/template><template class=\"nsp-popup-tpl\" data-id=\"12\">\t\t<div class=\"nsp-dialog no-image\">\n\t\t\t<button type=\"button\" class=\"nsp-close\" aria-label=\"Close\">&times;<\/button>\n\t\t\t<div class=\"nsp-dlg-h\">\n\t\t\t\t<span class=\"nsp-pop-icon et-pb-icon\" aria-hidden=\"true\">&#xe0f7;<\/span>\t\t\t\t<span class=\"nsp-dlg-h-title\">Intelligent Data Retrieval Agent<\/span>\n\t\t\t<\/div>\n\t\t\t<div class=\"nsp-pop-cols\">\n\t\t\t\t<div class=\"nsp-pop-main\">\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"nsp-pop-desc\"><p>Development of a production-ready retrieval agent for querying large, fragmented, and undocumented enterprise data repositories using large language models and semantic search. The solution transformed scattered legacy records into structured, searchable knowledge, enabling users to retrieve relevant information within seconds instead of manually searching across hundreds of documents.<\/p>\n<p>The project combined retrieval-augmented generation (RAG), vector search, and modern LLM technologies to deliver reliable, context-aware information retrieval. Designed with a modular architecture, the system supports scalability, maintainability, and future extensions while ensuring robust retrieval quality across heterogeneous data sources.<\/p>\n<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"nsp-pop-role nsp-pop-role--below\"><p>AI Engineer<\/p>\n<p>Python \u2022 LangChain \u2022 OpenAI \u2022 Qdrant \u2022 Semantic Search \u2022 RAG \u2022 Streamlit<\/p>\n<\/div>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\n\t\t\t\t\t\t\t<ul class=\"nsp-chiplist nsp-pop-caps\">\n\t\t\t\t\t\t\t\t\t\t\t<li class=\"nsp-chip\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\/machine-learning\">Machine Learning<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t\t\t<li class=\"nsp-chip\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\/nlp\">Natural Language Processing<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t\t\t<li class=\"nsp-chip\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\/control-and-automation\">Automation<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t<\/div>\n\t\t<\/template><template class=\"nsp-popup-tpl\" data-id=\"13\">\t\t<div class=\"nsp-dialog has-image\">\n\t\t\t<button type=\"button\" class=\"nsp-close\" aria-label=\"Close\">&times;<\/button>\n\t\t\t<div class=\"nsp-dlg-h\">\n\t\t\t\t\t\t\t\t<span class=\"nsp-dlg-h-title\">Visual Search Recommendations<\/span>\n\t\t\t<\/div>\n\t\t\t<div class=\"nsp-pop-cols\">\n\t\t\t\t<div class=\"nsp-pop-main\">\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"nsp-pop-desc\"><p>For VisualSearch, the focus was on developing and deploying e-commerce plugins to enhance recommendation functionalities in web shops. The plugins were successfully launched in the store and happily adopted by customers, demonstrating their practical use in improving e-commerce experiences. Key elements included:<br \/>\n- computation of visual embeddings from appearances of e-commerce products<br \/>\n- building and maintaining a search index using these embeddings<br \/>\n- providing a cloud-based API for Shopware and Prestashop plugins<\/p>\n<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t<div class=\"nsp-pop-aside\">\n\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"369\" height=\"455\" src=\"https:\/\/www.9senses.ai\/wp-content\/uploads\/2026\/07\/visualsearch.png\" class=\"nsp-pop-img\" alt=\"\" srcset=\"https:\/\/www.9senses.ai\/wp-content\/uploads\/2026\/07\/visualsearch.png 369w, https:\/\/www.9senses.ai\/wp-content\/uploads\/2026\/07\/visualsearch-243x300.png 243w, https:\/\/www.9senses.ai\/wp-content\/uploads\/2026\/07\/visualsearch-10x12.png 10w\" sizes=\"(max-width: 369px) 100vw, 369px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"nsp-pop-role nsp-pop-role--aside\"><p>Peter acted as the project manager and key data scientist on this project, leveraging AWS services, Python, and deep learning frameworks like Keras. The project integrated cloud-based solutions using CloudFormation, Lambda, and Gateway for scalable and efficient deployment, using SQL and DynamoDB for data management.<\/p>\n<\/div>\n\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\n\t\t\t\t\t\t\t<ul class=\"nsp-chiplist nsp-pop-caps\">\n\t\t\t\t\t\t\t\t\t\t\t<li class=\"nsp-chip\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\/machine-learning\">Machine Learning<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t\t\t<li class=\"nsp-chip\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\/vision\">Computer Vision<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t<\/div>\n\t\t<\/template><template class=\"nsp-popup-tpl\" data-id=\"14\">\t\t<div class=\"nsp-dialog has-image\">\n\t\t\t<button type=\"button\" class=\"nsp-close\" aria-label=\"Close\">&times;<\/button>\n\t\t\t<div class=\"nsp-dlg-h\">\n\t\t\t\t\t\t\t\t<span class=\"nsp-dlg-h-title\">Visual Assistance for Seniors<\/span>\n\t\t\t<\/div>\n\t\t\t<div class=\"nsp-pop-cols\">\n\t\t\t\t<div class=\"nsp-pop-main\">\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"nsp-pop-desc\"><p>For the Austrian Institute of Technology (as a part of the national research project LARAH), a prototype of an assistance system for visual indoor localization for disabled and elderly persons was developed. By leveraging Computer Vision and Deep Learning, innovative algorithms for position determination were implemented. The project resulted in a functional prototype, including two Android applications for real-time localization. Key elements included:<br \/>\n- visual recognition of persons using Deep-Learning models<br \/>\n- visual reconstruction and localization of indoor environments using Structure-from-Motion and Machine Learning algorithms<\/p>\n<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t<div class=\"nsp-pop-aside\">\n\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"366\" height=\"451\" src=\"https:\/\/www.9senses.ai\/wp-content\/uploads\/2026\/07\/larah.png\" class=\"nsp-pop-img\" alt=\"\" srcset=\"https:\/\/www.9senses.ai\/wp-content\/uploads\/2026\/07\/larah.png 366w, https:\/\/www.9senses.ai\/wp-content\/uploads\/2026\/07\/larah-243x300.png 243w, https:\/\/www.9senses.ai\/wp-content\/uploads\/2026\/07\/larah-10x12.png 10w\" sizes=\"(max-width: 366px) 100vw, 366px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"nsp-pop-role nsp-pop-role--aside\"><p>Peter acted as the project manager and key data scientist on this project, developed under Python using Deep Learning models like TensorFlow, custom-developed Structure-from-Motion software and custom camera calibration software. Additionally, as a part of the project, two Android apps were modified and integrated together onto the Robot Operating System on the mobile platform.<\/p>\n<\/div>\n\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\n\t\t\t\t\t\t\t<ul class=\"nsp-chiplist nsp-pop-caps\">\n\t\t\t\t\t\t\t\t\t\t\t<li class=\"nsp-chip\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\/machine-learning\">Machine Learning<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t\t\t<li class=\"nsp-chip\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\/vision\">Computer Vision<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t<\/div>\n\t\t<\/template><template class=\"nsp-popup-tpl\" data-id=\"18\">\t\t<div class=\"nsp-dialog no-image\">\n\t\t\t<button type=\"button\" class=\"nsp-close\" aria-label=\"Close\">&times;<\/button>\n\t\t\t<div class=\"nsp-dlg-h\">\n\t\t\t\t<i class=\"nsp-pop-icon fa-solid fa-anchor\" aria-hidden=\"true\"><\/i>\t\t\t\t<span class=\"nsp-dlg-h-title\">CertGrep Suite \u2014 AI-assisted development under governance<\/span>\n\t\t\t<\/div>\n\t\t\t<div class=\"nsp-pop-cols\">\n\t\t\t\t<div class=\"nsp-pop-main\">\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"nsp-pop-desc\"><p>This is a post-quantum-aware X.509 analysis toolkit, built with AI pair-programming and used as<br \/>\nthe working laboratory for a governance regime around AI-written code: per-release SAST<br \/>\nand DAST with a written reason for anything left unfixed, an EU AI Act scoping<br \/>\nassessment of the product, and a documented risk review of the AI vendor it depends on.<\/p>\n<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"nsp-pop-role nsp-pop-role--below\"><p>https:\/\/gitlab.com\/umi-ch\/cert-grep<br \/>\nhttps:\/\/gitlab.com\/umi-ch\/cert-grep\/-\/tree\/main\/insights<\/p>\n<\/div>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\n\t\t\t\t\t\t\t<ul class=\"nsp-chiplist nsp-pop-caps\">\n\t\t\t\t\t\t\t\t\t\t\t<li class=\"nsp-chip\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\/consulting\">AI Transformation<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t\t\t<li class=\"nsp-chip\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\/control-and-automation\">Automation<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t\t\t<li class=\"nsp-chip\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\/automation-and-control\">Infrastructure Management<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t\t\t<li class=\"nsp-chip\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tHuman-Technology Interaction\t\t\t\t\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t<\/div>\n\t\t<\/template><template class=\"nsp-popup-tpl\" data-id=\"19\">\t\t<div class=\"nsp-dialog no-image\">\n\t\t\t<button type=\"button\" class=\"nsp-close\" aria-label=\"Close\">&times;<\/button>\n\t\t\t<div class=\"nsp-dlg-h\">\n\t\t\t\t<span class=\"nsp-pop-icon et-pb-icon\" aria-hidden=\"true\">&#x55;<\/span>\t\t\t\t<span class=\"nsp-dlg-h-title\">Curiosity Lab \u2014 making LLM behavior visible<\/span>\n\t\t\t<\/div>\n\t\t\t<div class=\"nsp-pop-cols\">\n\t\t\t\t<div class=\"nsp-pop-main\">\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"nsp-pop-desc\"><p>This is a desktop client for Claude and other popular LLM frontier models. It provides a simple system prompt but also predefined (and customizable) per-turn \"curiosity riders\" (injection) as separate controls, alongside a running cost meter. Built so a client can watch what prompt design actually changes \u2014 in the answer, and on the bill \u2014 instead of being told.<\/p>\n<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"nsp-pop-role nsp-pop-role--below\"><p>https:\/\/github.com\/John-D-B\/Curiosity-Lab-for-Claude<\/p>\n<\/div>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\n\t\t\t\t\t\t\t<ul class=\"nsp-chiplist nsp-pop-caps\">\n\t\t\t\t\t\t\t\t\t\t\t<li class=\"nsp-chip\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\/ai-strategy\">AI Strategy<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t\t\t<li class=\"nsp-chip\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\/customer-interaction\/\">Customer Interaction<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t\t\t<li class=\"nsp-chip\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tHuman-Technology Interaction\t\t\t\t\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t<\/div>\n\t\t<\/template><template class=\"nsp-popup-tpl\" data-id=\"20\">\t\t<div class=\"nsp-dialog no-image\">\n\t\t\t<button type=\"button\" class=\"nsp-close\" aria-label=\"Close\">&times;<\/button>\n\t\t\t<div class=\"nsp-dlg-h\">\n\t\t\t\t<i class=\"nsp-pop-icon fa-solid fa-print\" aria-hidden=\"true\"><\/i>\t\t\t\t<span class=\"nsp-dlg-h-title\">Web-Print \u2014 a tool packaged as a Claude agent skill<\/span>\n\t\t\t<\/div>\n\t\t\t<div class=\"nsp-pop-cols\">\n\t\t\t\t<div class=\"nsp-pop-main\">\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"nsp-pop-desc\"><p>A page-capture utility distributed both as a command-line tool and as a Claude Code skill and plugin, with strict invocation rules so that an agent knows when not to run it. Shipped with a published security assessment and disclosed residual risk.<\/p>\n<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"nsp-pop-role nsp-pop-role--below\"><p>https:\/\/github.com\/John-D-B\/web-print<\/p>\n<\/div>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\n\t\t\t\t\t\t\t<ul class=\"nsp-chiplist nsp-pop-caps\">\n\t\t\t\t\t\t\t\t\t\t\t<li class=\"nsp-chip\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\/consulting\">AI Transformation<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t\t\t<li class=\"nsp-chip\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\/governance-and-ethics\">Governance<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t\t\t<li class=\"nsp-chip\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\/automation-and-control\">Infrastructure Management<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t\t\t<li class=\"nsp-chip\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tHuman-Technology Interaction\t\t\t\t\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t<\/div>\n\t\t<\/template><template class=\"nsp-popup-tpl\" data-id=\"21\">\t\t<div class=\"nsp-dialog no-image\">\n\t\t\t<button type=\"button\" class=\"nsp-close\" aria-label=\"Close\">&times;<\/button>\n\t\t\t<div class=\"nsp-dlg-h\">\n\t\t\t\t<span class=\"nsp-pop-icon et-pb-icon\" aria-hidden=\"true\">&#x5a;<\/span>\t\t\t\t<span class=\"nsp-dlg-h-title\">Keyfactor EJBCA \u2014 AI-assisted code contributions, merged by the vendor<\/span>\n\t\t\t<\/div>\n\t\t\t<div class=\"nsp-pop-cols\">\n\t\t\t\t<div class=\"nsp-pop-main\">\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"nsp-pop-desc\"><p>Code developed with AI assistance, submitted to Keyfactor's open-source EJBCA cert-manager issuer and merged by its own maintainers in March 2026. An external check on whether AI-assisted work survives review by people with no stake in the method. AI pair-programming saved substantial amounts of time and  know-how onboarding in order to fix this relatively simple problem.<\/p>\n<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"nsp-pop-role nsp-pop-role--below\"><p>https:\/\/github.com\/John-D-B\/ejbca-cert-manager-issuer<br \/>\nhttps:\/\/github.com\/John-D-B\/ejbca-ce<\/p>\n<\/div>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\n\t\t\t\t\t\t\t<ul class=\"nsp-chiplist nsp-pop-caps\">\n\t\t\t\t\t\t\t\t\t\t\t<li class=\"nsp-chip\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\/consulting\">AI Transformation<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t\t\t<li class=\"nsp-chip\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\/control-and-automation\">Automation<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t\t\t<li class=\"nsp-chip\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\/automation-and-control\">Infrastructure Management<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t<\/div>\n\t\t<\/template><template class=\"nsp-popup-tpl\" data-id=\"22\">\t\t<div class=\"nsp-dialog no-image\">\n\t\t\t<button type=\"button\" class=\"nsp-close\" aria-label=\"Close\">&times;<\/button>\n\t\t\t<div class=\"nsp-dlg-h\">\n\t\t\t\t<span class=\"nsp-pop-icon et-pb-icon\" aria-hidden=\"true\">&#xe0ef;<\/span>\t\t\t\t<span class=\"nsp-dlg-h-title\">AI &amp; Robotics Use Cases \u2013 MIT Sloan \/ CSAIL<\/span>\n\t\t\t<\/div>\n\t\t\t<div class=\"nsp-pop-cols\">\n\t\t\t\t<div class=\"nsp-pop-main\">\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"nsp-pop-desc\"><p>As part of the MIT Sloan School of Management and MIT CSAIL Executive Program \u201cArtificial Intelligence: Implications for Business Strategy\u201d, Gerold developed and evaluated AI and robotics use cases for a global facilities management company.<\/p>\n<p>The work focused on translating emerging AI capabilities into concrete enterprise applications: identifying suitable business and operational processes, assessing potential value and feasibility, and considering the organizational implications of introducing AI, automation and robotics at enterprise scale.<\/p>\n<p>Rather than starting with technology in search of a problem, the approach focused on where AI and robotics could address real operational challenges and create measurable business value. The project laid the foundation for Gerold\u2019s continuing focus on bridging AI strategy, business requirements and practical implementation.<\/p>\n<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"nsp-pop-role nsp-pop-role--below\"><p>AI Strategy &amp; Use Case Development, AI opportunity assessment, business value analysis, Robotics &amp; Automation<\/p>\n<\/div>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\n\t\t\t\t\t\t\t<ul class=\"nsp-chiplist nsp-pop-caps\">\n\t\t\t\t\t\t\t\t\t\t\t<li class=\"nsp-chip\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\/ai-strategy\">AI Strategy<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t\t\t<li class=\"nsp-chip\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\/consulting\">AI Transformation<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t\t\t<li class=\"nsp-chip\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\/robotics\">Robotics<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t\t\t<li class=\"nsp-chip\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\/control-and-automation\">Automation<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t<\/div>\n\t\t<\/template><template class=\"nsp-popup-tpl\" data-id=\"23\">\t\t<div class=\"nsp-dialog no-image\">\n\t\t\t<button type=\"button\" class=\"nsp-close\" aria-label=\"Close\">&times;<\/button>\n\t\t\t<div class=\"nsp-dlg-h\">\n\t\t\t\t<i class=\"nsp-pop-icon fa-regular fa-folder-open\" aria-hidden=\"true\"><\/i>\t\t\t\t<span class=\"nsp-dlg-h-title\">RAG-Based Enterprise Knowledge Assistant<\/span>\n\t\t\t<\/div>\n\t\t\t<div class=\"nsp-pop-cols\">\n\t\t\t\t<div class=\"nsp-pop-main\">\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"nsp-pop-desc\"><p>Gerold designed and developed concepts and prototypes for RAG-based AI assistants that make fragmented organizational knowledge accessible through natural-language interaction.<\/p>\n<p>The solutions combine internal documents, structured information and expert knowledge with Large Language Models, semantic search and retrieval-augmented generation. The focus is not only on the underlying technology, but on creating a reliable end-to-end solution: from identifying and structuring relevant knowledge sources to retrieval architecture, user experience, access concepts and governance.<\/p>\n<p>The work demonstrates how Generative AI can transform static document repositories into practical knowledge systems that support employees in finding information faster, preserving expert knowledge and making better-informed decisions.<\/p>\n<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"nsp-pop-role nsp-pop-role--below\"><p>AI Strategy &amp; Solution Design, Generative AI, LLMs, RAG, Prompt Design, Knowledge Management<\/p>\n<\/div>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\n\t\t\t\t\t\t\t<ul class=\"nsp-chiplist nsp-pop-caps\">\n\t\t\t\t\t\t\t\t\t\t\t<li class=\"nsp-chip\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\/ai-strategy\">AI Strategy<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t\t\t<li class=\"nsp-chip\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\/consulting\">AI Transformation<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t\t\t<li class=\"nsp-chip\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\/nlp\">Natural Language Processing<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t<\/div>\n\t\t<\/template><template class=\"nsp-popup-tpl\" data-id=\"24\">\t\t<div class=\"nsp-dialog no-image\">\n\t\t\t<button type=\"button\" class=\"nsp-close\" aria-label=\"Close\">&times;<\/button>\n\t\t\t<div class=\"nsp-dlg-h\">\n\t\t\t\t<span class=\"nsp-pop-icon et-pb-icon\" aria-hidden=\"true\">&#xe00e;<\/span>\t\t\t\t<span class=\"nsp-dlg-h-title\">Global Test Center of Excellence &amp; AI-Assisted Testing<\/span>\n\t\t\t<\/div>\n\t\t\t<div class=\"nsp-pop-cols\">\n\t\t\t\t<div class=\"nsp-pop-main\">\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"nsp-pop-desc\"><p>Gerold established and led a global Test Center of Excellence for a global corporation, creating a scalable quality engineering framework across projects, teams and delivery environments.<\/p>\n<p>The initiative covered test strategy, governance, KPIs, test automation, regression testing, Shift Left and Continuous Testing, as well as the integration of quality engineering into agile and DevOps delivery models.<\/p>\n<p>As part of the further evolution of the testing approach, Gerold introduced AI-assisted testing and explored the practical use of Generative AI for creating software test cases. This connected established enterprise quality engineering with emerging AI capabilities and provided a concrete application of Generative AI within the software delivery lifecycle.<\/p>\n<p>The project demonstrates his ability to introduce new technologies within the governance, processes and operating model required for enterprise-scale adoption.<\/p>\n<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"nsp-pop-role nsp-pop-role--below\"><p>Global Test Lead, Generative AI, AI-assisted testing, test case generation, Test Automation, DevOps, CI\/CD, SAFe, Continuous Testing, Quality Governance<\/p>\n<\/div>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\n\t\t\t\t\t\t\t<ul class=\"nsp-chiplist nsp-pop-caps\">\n\t\t\t\t\t\t\t\t\t\t\t<li class=\"nsp-chip\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\/ai-strategy\">AI Strategy<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t\t\t<li class=\"nsp-chip\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\/consulting\">AI Transformation<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t\t\t<li class=\"nsp-chip\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\/governance-and-ethics\">Governance<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t\t\t<li class=\"nsp-chip\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\/control-and-automation\">Automation<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t<\/div>\n\t\t<\/template><template class=\"nsp-popup-tpl\" data-id=\"1\">\t\t<div class=\"nsp-dialog has-image\">\n\t\t\t<button type=\"button\" class=\"nsp-close\" aria-label=\"Close\">&times;<\/button>\n\t\t\t<div class=\"nsp-dlg-h\">\n\t\t\t\t\t\t\t\t<span class=\"nsp-dlg-h-title\">Electrical Switch Monitor<\/span>\n\t\t\t<\/div>\n\t\t\t<div class=\"nsp-pop-cols\">\n\t\t\t\t<div class=\"nsp-pop-main\">\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"nsp-pop-desc\"><p>For a public transportation network, the objective was to optimize the monitoring of their legacy electrical switchboards. These decade-old items that are often located in very remote areas are prone to failures and tracking of errors was not possible. The objective was to enable real-time tracking and the recognition of upcoming failures from changed switching behavior. The key elements were:<\/p>\n<ul>\n<li>Development of specific hardware configuration with custom housings (3D printed) to mount instead of regular switchboard covers;<\/li>\n<li>Camera control and initial image generation on Raspberry Pi integrated in housing;<\/li>\n<li>Initial scan of switch layout and labels;<\/li>\n<li>Identification of switching operations and registration of new positions;<\/li>\n<li>Identification of irregular switching patterns (delays, other irregularities) to indicate upcoming failures for predictive maintenance;<\/li>\n<li>Update of central database and cloud solution with last state and observed switching patterns;<\/li>\n<\/ul>\n<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t<div class=\"nsp-pop-aside\">\n\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"959\" src=\"https:\/\/www.9senses.ai\/wp-content\/uploads\/2026\/07\/6by6cropped-1024x959.jpg\" class=\"nsp-pop-img\" alt=\"\" srcset=\"https:\/\/www.9senses.ai\/wp-content\/uploads\/2026\/07\/6by6cropped-980x918.jpg 980w, https:\/\/www.9senses.ai\/wp-content\/uploads\/2026\/07\/6by6cropped-480x450.jpg 480w\" sizes=\"(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) and (max-width: 980px) 980px, (min-width: 981px) 1024px, 100vw\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"nsp-pop-role nsp-pop-role--aside\"><p>The solution was implemented using Python on Raspberry Pi devices, backbone and cloud processing were done using a LAMP stack, with PyTorch, TensorFlow and OpenCV.<\/p>\n<\/div>\n\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\n\t\t\t\t\t\t\t<ul class=\"nsp-chiplist nsp-pop-caps\">\n\t\t\t\t\t\t\t\t\t\t\t<li class=\"nsp-chip\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\/machine-learning\">Machine Learning<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t\t\t<li class=\"nsp-chip\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\/vision\">Computer Vision<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t<\/div>\n\t\t<\/template><template class=\"nsp-popup-tpl\" data-id=\"5\">\t\t<div class=\"nsp-dialog no-image\">\n\t\t\t<button type=\"button\" class=\"nsp-close\" aria-label=\"Close\">&times;<\/button>\n\t\t\t<div class=\"nsp-dlg-h\">\n\t\t\t\t<i class=\"nsp-pop-icon fa-solid fa-water\" aria-hidden=\"true\"><\/i>\t\t\t\t<span class=\"nsp-dlg-h-title\">Hydropower Plant Operations<\/span>\n\t\t\t<\/div>\n\t\t\t<div class=\"nsp-pop-cols\">\n\t\t\t\t<div class=\"nsp-pop-main\">\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"nsp-pop-desc\"><div class=\"et_pb_column_11 et_pb_column et_flex_column et_pb_css_mix_blend_mode_passthrough et_flex_column_6_24 et_flex_column_12_24_tablet et_flex_column_24_24_phone et_flex_column_12_24_tabletWide preset--group--divi-column--divi-box-shadow--default preset--group--divi-column--divi-sizing--hsj9uxo--default\">\n<div class=\"et_pb_blurb_2 et_pb_blurb et_pb_bg_layout_light et_pb_blurb_position_top et_pb_module et_flex_module hovergroup preset--group--divi-blurb--divi-box-shadow--default preset--group--divi-blurb--divi-font-body--h19rs5u--7p5s44libg preset--group--divi-blurb--divi-sizing--hsj9uxo--default\">\n<div class=\"et_pb_blurb_content et_flex_module\">\n<div class=\"et_pb_blurb_container\">\n<div class=\"et_pb_blurb_description\">\n<p>Create an integrated monitoring and surveillance solution for small-scale hydropower plants in remote locations. The solution included a full range of required settings:<\/p>\n<ul>\n<li>real-time monitoring and logging of operations<\/li>\n<li>failure detection and automated<\/li>\n<li>predictive maintenance logic to identify early failure<\/li>\n<li>camera-based intrusion and irregularity detection<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"nsp-pop-role nsp-pop-role--below\"><p>The solution was a hybrid solution using Siemens PLCs, combined with small edge computing elements (Raspberry Pi and Arduino). All primary logic (particularly shutdown and load adjustment) was local, but key decisions and aggregations were executed online based on regular data transmission to a cloud-based management and operations suite.<\/p>\n<\/div>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\n\t\t\t\t\t\t\t<ul class=\"nsp-chiplist nsp-pop-caps\">\n\t\t\t\t\t\t\t\t\t\t\t<li class=\"nsp-chip\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\/machine-learning\">Machine Learning<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t\t\t<li class=\"nsp-chip\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\/vision\">Computer Vision<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t\t\t<li class=\"nsp-chip\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\/automation-and-control\">Infrastructure Management<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t<\/div>\n\t\t<\/template><template class=\"nsp-popup-tpl\" data-id=\"2\">\t\t<div class=\"nsp-dialog no-image\">\n\t\t\t<button type=\"button\" class=\"nsp-close\" aria-label=\"Close\">&times;<\/button>\n\t\t\t<div class=\"nsp-dlg-h\">\n\t\t\t\t<span class=\"nsp-pop-icon et-pb-icon\" aria-hidden=\"true\">&#x77;<\/span>\t\t\t\t<span class=\"nsp-dlg-h-title\">Customer Interaction Analysis<\/span>\n\t\t\t<\/div>\n\t\t\t<div class=\"nsp-pop-cols\">\n\t\t\t\t<div class=\"nsp-pop-main\">\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"nsp-pop-desc\"><p>For a project management SaaS solution where customers were matched with freelancers, a custom AI solution was established with the purpose to improve experiences for all parties. Key purposes were to create an early warning system to help customer service intervene in case of issues:<\/p>\n<ul>\n<li>Identification of unusual patterns (delays indicating inaction, intense exchanges);<\/li>\n<li>Flagging of language transgressions on both sides (use of inappropriate language, aggression);<\/li>\n<li>Matching of final ratings with evaluation of flow and dialogue quality to foster a more honest rating culture;<\/li>\n<li>Language style matching to improve future matching of freelancers to clients;<\/li>\n<\/ul>\n<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"nsp-pop-role nsp-pop-role--below\"><p>The solution was implemented using Python on a LAMP stack, with self-developed machine learning libraries.<\/p>\n<\/div>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\n\t\t\t\t\t\t\t<ul class=\"nsp-chiplist nsp-pop-caps\">\n\t\t\t\t\t\t\t\t\t\t\t<li class=\"nsp-chip\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\/machine-learning\">Machine Learning<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t\t\t<li class=\"nsp-chip\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\/nlp\">Natural Language Processing<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t<\/div>\n\t\t<\/template><template class=\"nsp-popup-tpl\" data-id=\"6\">\t\t<div class=\"nsp-dialog no-image\">\n\t\t\t<button type=\"button\" class=\"nsp-close\" aria-label=\"Close\">&times;<\/button>\n\t\t\t<div class=\"nsp-dlg-h\">\n\t\t\t\t<i class=\"nsp-pop-icon fa-solid fa-shirt\" aria-hidden=\"true\"><\/i>\t\t\t\t<span class=\"nsp-dlg-h-title\">Motion-sensitive wearables<\/span>\n\t\t\t<\/div>\n\t\t\t<div class=\"nsp-pop-cols\">\n\t\t\t\t<div class=\"nsp-pop-main\">\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"nsp-pop-desc\"><p>Arduino-based, with edge ml functionality and periodic link via BLE to connected phone. Machine learning algorithms on cloud detecting various health states and delivering alerts to phone or web app. All logic woven into a cotton fabric wristband.<\/p>\n<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\n\t\t\t\t\t\t\t<ul class=\"nsp-chiplist nsp-pop-caps\">\n\t\t\t\t\t\t\t\t\t\t\t<li class=\"nsp-chip\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\/machine-learning\">Machine Learning<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t<\/div>\n\t\t<\/template><template class=\"nsp-popup-tpl\" data-id=\"4\">\t\t<div class=\"nsp-dialog no-image\">\n\t\t\t<button type=\"button\" class=\"nsp-close\" aria-label=\"Close\">&times;<\/button>\n\t\t\t<div class=\"nsp-dlg-h\">\n\t\t\t\t<i class=\"nsp-pop-icon fa-solid fa-network-wired\" aria-hidden=\"true\"><\/i>\t\t\t\t<span class=\"nsp-dlg-h-title\">IT Operations Automation<\/span>\n\t\t\t<\/div>\n\t\t\t<div class=\"nsp-pop-cols\">\n\t\t\t\t<div class=\"nsp-pop-main\">\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"nsp-pop-desc\"><p>The objective of this project was to identify approaches on integration automation approaches and AI to more stably and reliably document and manage a highly complex IT environment with systems ranging from legacy mainframes to local server farms to cloud services. The objective was a massive simplification of maintaining up-to-date system views, status views and predictive error management.<\/p>\n<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\n\t\t\t\t\t\t\t<ul class=\"nsp-chiplist nsp-pop-caps\">\n\t\t\t\t\t\t\t\t\t\t\t<li class=\"nsp-chip\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\/governance-and-ethics\">Governance<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t\t\t<li class=\"nsp-chip\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\/automation-and-control\">Infrastructure Management<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t<\/div>\n\t\t<\/template><\/div><div class=\"nsp-overlay\" id=\"nsp-overlay\" role=\"dialog\" aria-modal=\"true\"><\/div><\/div><\/div>\n<\/div>\n<\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"","protected":false},"author":15,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"_ns_ir":"","_ns_ir_pending":"","_ns_structural_eyebrow":"","_ns_ir_live":"","_ns_structural_enabled":"","_ns_structural_body_v1":"","n9tr_seo_title_de_DE":"KI-Substanz | 9senses","n9tr_seo_description_de_DE":"Herstellerunabh\u00e4ngige Konzeption und Umsetzung von KI-L\u00f6sungen, die funktionieren und steuerbar bleiben. Die Substance-Stufe des 9senses-Modells.","n9tr_seo_title_fr_FR":"","n9tr_seo_description_fr_FR":"","footnotes":""},"class_list":["post-226071","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.9senses.ai\/de\/wp-json\/wp\/v2\/pages\/226071","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.9senses.ai\/de\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.9senses.ai\/de\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.9senses.ai\/de\/wp-json\/wp\/v2\/users\/15"}],"replies":[{"embeddable":true,"href":"https:\/\/www.9senses.ai\/de\/wp-json\/wp\/v2\/comments?post=226071"}],"version-history":[{"count":46,"href":"https:\/\/www.9senses.ai\/de\/wp-json\/wp\/v2\/pages\/226071\/revisions"}],"predecessor-version":[{"id":229776,"href":"https:\/\/www.9senses.ai\/de\/wp-json\/wp\/v2\/pages\/226071\/revisions\/229776"}],"wp:attachment":[{"href":"https:\/\/www.9senses.ai\/de\/wp-json\/wp\/v2\/media?parent=226071"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}