{"id":1818,"date":"2026-05-12T07:46:22","date_gmt":"2026-05-12T05:46:22","guid":{"rendered":"https:\/\/buchholz-software.de\/ki-unterstuetzung\/"},"modified":"2026-05-13T10:42:28","modified_gmt":"2026-05-13T08:42:28","slug":"support-2","status":"publish","type":"page","link":"https:\/\/buchholz-software.de\/en\/ki-unterstuetzung\/","title":{"rendered":"AI support in ANYVA"},"content":{"rendered":"<div data-elementor-type=\"wp-page\" data-elementor-id=\"1818\" class=\"elementor elementor-1818\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-5dd6dc03 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"5dd6dc03\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-374eba97\" data-id=\"374eba97\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-53e5db4 elementor-widget elementor-widget-text-editor\" data-id=\"53e5db4\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<section style=\"background: #0A1628; padding: 72px 20px 64px;\"><div style=\"max-width: 1280px; margin: 0 auto;\"><p style=\"color: #0ea5e9; font-size: 0.72rem; font-weight: bold; letter-spacing: 0.1em; text-transform: uppercase; margin-bottom: 0.75rem;\">AI Support<\/p><h1 style=\"color: #ffffff; font-size: clamp(1.75rem,4vw,2.6rem); font-weight: bold; margin-bottom: 1rem; line-height: 1.2;\">AI support where expert decisions are made<\/h1><p style=\"color: #cbd5e1; font-size: 1.05rem; max-width: 680px; margin-bottom: 0;\">ANYVA uses AI as professional support \u2013 integrated into processes, requirements, risks, and TOMs. Responsibility for decisions remains with the user.<\/p><\/div><\/section><section style=\"background: #ffffff; padding: 56px 20px;\"><div style=\"max-width: 1280px; margin: 0 auto;\"><h2 style=\"color: #0a1628; font-size: clamp(1.4rem,3vw,2.1rem); font-weight: bold; margin-bottom: 0.75rem;\">Plausibility justification<\/h2><p style=\"color: #64748b; font-size: 1rem; max-width: 700px; margin-bottom: 0;\">An LLM checks technical assessments for comprehensibility and consistency. It doesn't replace a decision \u2013 it provides a second level of review.<\/p><div class=\"anyva-ki-features\" style=\"grid-template-columns: repeat(2,1fr); margin-top: 1.5rem;\"><div class=\"anyva-ki-card\"><div class=\"anyva-ki-card-title\" style=\"color: #0a1628;\">Risk assessment<\/div><ul class=\"anyva-ki-card-list\"><li style=\"color: #1e293b;\">Is the risk assessment comprehensible?<\/li><li style=\"color: #1e293b;\">Does the justification match the chosen risk level?<\/li><li style=\"color: #1e293b;\">Are there contradictions in the evaluation?<\/li><\/ul><\/div><div class=\"anyva-ki-card\"><div class=\"anyva-ki-card-title\" style=\"color: #0a1628;\">TOMs and Measures<\/div><ul class=\"anyva-ki-card-list\"><li style=\"color: #1e293b;\">Are the measures appropriate?<\/li><li style=\"color: #1e293b;\">Are obvious TOMs missing?<\/li><li style=\"color: #1e293b;\">Are all requirements fully covered?<\/li><\/ul><\/div><div class=\"anyva-ki-card\"><div class=\"anyva-ki-card-title\" style=\"color: #0a1628;\">DSFA-Plausibility check<\/div><ul class=\"anyva-ki-card-list\"><li style=\"color: #1e293b;\">Are risks fully captured?<\/li><li style=\"color: #1e293b;\">Is the need for protection justified?<\/li><li style=\"color: #1e293b;\">Are countermeasures appropriate?<\/li><\/ul><\/div><div class=\"anyva-ki-card\"><div class=\"anyva-ki-card-title\" style=\"color: #0a1628;\">Audit preparation<\/div><ul class=\"anyva-ki-card-list\"><li style=\"color: #1e293b;\">Are the proofs complete?<\/li><li style=\"color: #1e293b;\">Are there gaps in the audit trail?<\/li><li style=\"color: #1e293b;\">Are reasons documented?<\/li><\/ul><\/div><\/div><\/div><\/section><section style=\"background: #F8FAFC; padding: 56px 20px;\"><div style=\"max-width: 1280px; margin: 0 auto;\"><h2 style=\"color: #0a1628; font-size: clamp(1.4rem,3vw,2.1rem); font-weight: bold; margin-bottom: 0.75rem;\">RAG-powered expert system<\/h2><p style=\"color: #64748b; font-size: 1rem; max-width: 700px; margin-bottom: 0;\">ANYVA uses Retrieval-Augmented Generation (RAG) to specifically integrate existing specialist knowledge into the work context \u2013 not as a generic chatbot.<\/p><div class=\"anyva-ki-layers\" style=\"margin-top: 1.5rem;\"><div class=\"anyva-ki-layer anyva-ki-layer--context\"><div class=\"anyva-ki-layer-label\" style=\"color: #1d4ed8;\">Embedded context<\/div><div class=\"anyva-ki-layer-items\"><span class=\"anyva-ki-layer-item\">Own processes<\/span><span class=\"anyva-ki-layer-item\">Technical Services<\/span><span class=\"anyva-ki-layer-item\">Assets<\/span><span class=\"anyva-ki-layer-item\">TOMs<\/span><span class=\"anyva-ki-layer-item\">Requirements<\/span><span class=\"anyva-ki-layer-item\">Risks<\/span><\/div><\/div><div class=\"anyva-ki-layer anyva-ki-layer--rag\"><div class=\"anyva-ki-layer-label\" style=\"color: #b45309;\">RAG knowledge base<\/div><div class=\"anyva-ki-layer-items\"><span class=\"anyva-ki-layer-item\">Tom's Library<\/span><span class=\"anyva-ki-layer-item\">Requirements catalogue<\/span><span class=\"anyva-ki-layer-item\">Risk scenarios<\/span><span class=\"anyva-ki-layer-item\">Risk module<\/span><span class=\"anyva-ki-layer-item\">Standards<\/span><span class=\"anyva-ki-layer-item\">Internal guidelines<\/span><\/div><\/div><div class=\"anyva-ki-layer anyva-ki-layer--ai\"><div class=\"anyva-ki-layer-label\" style=\"color: #15803d;\">AI Support<\/div><div class=\"anyva-ki-layer-items\"><span class=\"anyva-ki-layer-item\">Generate suggestions<\/span><span class=\"anyva-ki-layer-item\">Plausibilise<\/span><span class=\"anyva-ki-layer-item\">Check consistency<\/span><span class=\"anyva-ki-layer-item\">Support grounds<\/span><span class=\"anyva-ki-layer-item\">Spotting gaps<\/span><\/div><\/div><\/div><\/div><\/section><section style=\"background: #ffffff; padding: 56px 20px;\"><div style=\"max-width: 1280px; margin: 0 auto;\"><h2 style=\"color: #0a1628; font-size: clamp(1.4rem,3vw,2.1rem); font-weight: bold; margin-bottom: 0.75rem;\">Support instead of replacement<\/h2><p style=\"color: #64748b; font-size: 1rem; max-width: 700px; margin-bottom: 2rem;\">ANYVA-KI does not make decisions. It supports professionals in making better and more understandable decisions.<\/p><div class=\"anyva-ki-features\"><div class=\"anyva-ki-card\"><h3 class=\"anyva-ki-card-title\" style=\"color: #0a1628;\">Exam<\/h3><div class=\"anyva-ki-card-text\" style=\"color: #64748b;\">Reviews checked for plausibility and completeness.<\/div><\/div><div class=\"anyva-ki-card\"><h3 class=\"anyva-ki-card-icon\">\u00a0Suggestions<\/h3><div class=\"anyva-ki-card-text\" style=\"color: #64748b;\">AI suggests TOMs, requirements, or actions \u2013 the user decides.<\/div><\/div><div class=\"anyva-ki-card\"><h3 class=\"anyva-ki-card-icon\">\u00a0Understandability<\/h3><div class=\"anyva-ki-card-text\" style=\"color: #64748b;\">AI suggestions are documentable and auditable as support notes.<\/div><\/div><\/div><\/div><\/section><section style=\"background: #0A1628; padding: 48px 20px;\"><div style=\"max-width: 1280px; margin: 0 auto;\"><h2 style=\"color: #ffffff; font-size: clamp(1.4rem,3vw,2.1rem); font-weight: bold; margin-bottom: 0.75rem;\">AI support in practice<\/h2><p style=\"color: #cbd5e1; font-size: 1rem; max-width: 600px; margin-bottom: 0;\">In a demo, we'll show how plausibility checks and RAG support are integrated into everyday work.<\/p><p style=\"margin-top: 1.5rem;\"><a style=\"background: #2563EB; color: #ffffff; font-weight: 600; font-size: 0.9rem; padding: 11px 26px; border-radius: 6px; text-decoration: none;\" href=\"\/en\/contact-us\/\">Arrange a demo<\/a><\/p><\/div><\/section>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"<p>KI-Unterst\u00fctzung KI-Unterst\u00fctzung dort, wo fachliche Entscheidungen entstehen ANYVA nutzt KI als fachliche Unterst\u00fctzung \u2013 eingebunden in Prozesse, Anforderungen, Risiken und TOMs. Die Verantwortung f\u00fcr Entscheidungen bleibt beim Anwender. Plausibilisierung von Entscheidungen Ein LLM pr\u00fcft fachliche Bewertungen auf Nachvollziehbarkeit und Konsistenz. Es ersetzt keine Entscheidung \u2013 es liefert eine zweite Pr\u00fcfebene. Risikobewertung Ist die Risikobewertung nachvollziehbar? [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1818","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/buchholz-software.de\/en\/wp-json\/wp\/v2\/pages\/1818","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/buchholz-software.de\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/buchholz-software.de\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/buchholz-software.de\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/buchholz-software.de\/en\/wp-json\/wp\/v2\/comments?post=1818"}],"version-history":[{"count":9,"href":"https:\/\/buchholz-software.de\/en\/wp-json\/wp\/v2\/pages\/1818\/revisions"}],"predecessor-version":[{"id":1831,"href":"https:\/\/buchholz-software.de\/en\/wp-json\/wp\/v2\/pages\/1818\/revisions\/1831"}],"wp:attachment":[{"href":"https:\/\/buchholz-software.de\/en\/wp-json\/wp\/v2\/media?parent=1818"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}