{"id":1818,"date":"2026-05-12T07:46:22","date_gmt":"2026-05-12T05:46:22","guid":{"rendered":"https:\/\/buchholz-software.de\/ki-unterstuetzung\/"},"modified":"2026-05-12T08:06:22","modified_gmt":"2026-05-12T06:06:22","slug":"support-2","status":"publish","type":"page","link":"https:\/\/buchholz-software.de\/en\/ki-unterstuetzung\/","title":{"rendered":"AI support in ANYVA"},"content":{"rendered":"<section style=\"background:#0A1628;padding:72px 20px 64px\">\n<div style=\"max-width:1280px;margin:0 auto\">\n<p style=\"color:#0EA5E9;font-size:0.72rem;font-weight:700;letter-spacing:0.1em;text-transform:uppercase;margin-bottom:0.75rem\">AI Support<\/p>\n<h1 style=\"color:#ffffff;font-size:clamp(1.75rem,4vw,2.6rem);font-weight:700;margin-bottom:1rem;line-height:1.2\">AI support where expert decisions are made<\/h1>\n<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>\n<\/div>\n<\/section>\n<section style=\"background:#ffffff;padding:56px 20px\">\n<div style=\"max-width:1280px;margin:0 auto\">\n<p style=\"color:#0EA5E9;font-size:0.72rem;font-weight:700;letter-spacing:0.1em;text-transform:uppercase;margin-bottom:0.75rem\">Function 1<\/p>\n<h2 style=\"color:#0A1628;font-size:clamp(1.4rem,3vw,2.1rem);font-weight:700;margin-bottom:0.75rem\">Plausibility justification<\/h2>\n<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>\n<div class=\"anyva-ki-features\" style=\"grid-template-columns:repeat(2,1fr);margin-top:1.5rem\">\n<div class=\"anyva-ki-card\">\n<div class=\"anyva-ki-card-icon\">\u26a0\ufe0f<\/div>\n<div class=\"anyva-ki-card-title\" style=\"color:#0A1628\">Risk assessment<\/div>\n<ul class=\"anyva-ki-card-list\">\n<li style=\"color:#1E293B\">Is the risk assessment comprehensible?<\/li>\n<li style=\"color:#1E293B\">Does the justification match the chosen risk level?<\/li>\n<li style=\"color:#1E293B\">Are there contradictions in the evaluation?<\/li>\n<\/ul>\n<\/div>\n<div class=\"anyva-ki-card\">\n<div class=\"anyva-ki-card-icon\">Shield<\/div>\n<div class=\"anyva-ki-card-title\" style=\"color:#0A1628\">TOMs and Measures<\/div>\n<ul class=\"anyva-ki-card-list\">\n<li style=\"color:#1E293B\">Are the measures appropriate?<\/li>\n<li style=\"color:#1E293B\">Are obvious TOMs missing?<\/li>\n<li style=\"color:#1E293B\">Are all requirements fully covered?<\/li>\n<\/ul>\n<\/div>\n<div class=\"anyva-ki-card\">\n<div class=\"anyva-ki-card-icon\">\ud83d\udccb<\/div>\n<div class=\"anyva-ki-card-title\" style=\"color:#0A1628\">DSFA-Plausibility check<\/div>\n<ul class=\"anyva-ki-card-list\">\n<li style=\"color:#1E293B\">Are risks fully captured?<\/li>\n<li style=\"color:#1E293B\">Is the need for protection justified?<\/li>\n<li style=\"color:#1E293B\">Are countermeasures appropriate?<\/li>\n<\/ul>\n<\/div>\n<div class=\"anyva-ki-card\">\n<div class=\"anyva-ki-card-icon\">\ud83d\udcca<\/div>\n<div class=\"anyva-ki-card-title\" style=\"color:#0A1628\">Audit preparation<\/div>\n<ul class=\"anyva-ki-card-list\">\n<li style=\"color:#1E293B\">Are the proofs complete?<\/li>\n<li style=\"color:#1E293B\">Are there gaps in the audit trail?<\/li>\n<li style=\"color:#1E293B\">Are reasons documented?<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n<section style=\"background:#F8FAFC;padding:56px 20px\">\n<div style=\"max-width:1280px;margin:0 auto\">\n<p style=\"color:#0EA5E9;font-size:0.72rem;font-weight:700;letter-spacing:0.1em;text-transform:uppercase;margin-bottom:0.75rem\">Function 2<\/p>\n<h2 style=\"color:#0A1628;font-size:clamp(1.4rem,3vw,2.1rem);font-weight:700;margin-bottom:0.75rem\">RAG-powered expert system<\/h2>\n<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>\n<div class=\"anyva-ki-layers\" style=\"margin-top:1.5rem\">\n<div class=\"anyva-ki-layer anyva-ki-layer--context\">\n<div class=\"anyva-ki-layer-label\" style=\"color:#1D4ED8\">Embedded context<\/div>\n<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>\n<\/div>\n<div class=\"anyva-ki-layer anyva-ki-layer--rag\">\n<div class=\"anyva-ki-layer-label\" style=\"color:#B45309\">RAG knowledge base<\/div>\n<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>\n<\/div>\n<div class=\"anyva-ki-layer anyva-ki-layer--ai\">\n<div class=\"anyva-ki-layer-label\" style=\"color:#15803D\">AI Support<\/div>\n<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>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n<section style=\"background:#ffffff;padding:56px 20px\">\n<div style=\"max-width:1280px;margin:0 auto\">\n<p style=\"color:#0EA5E9;font-size:0.72rem;font-weight:700;letter-spacing:0.1em;text-transform:uppercase;margin-bottom:0.75rem\">Basic principle<\/p>\n<h2 style=\"color:#0A1628;font-size:clamp(1.4rem,3vw,2.1rem);font-weight:700;margin-bottom:0.75rem\">Support instead of replacement<\/h2>\n<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>\n<div class=\"anyva-ki-features\">\n<div class=\"anyva-ki-card\">\n<div class=\"anyva-ki-card-icon\">\ud83d\udd0e<\/div>\n<div class=\"anyva-ki-card-title\" style=\"color:#0A1628\">Exam<\/div>\n<div class=\"anyva-ki-card-text\" style=\"color:#64748B\">Reviews checked for plausibility and completeness.<\/div>\n<\/div>\n<div class=\"anyva-ki-card\">\n<div class=\"anyva-ki-card-icon\">\ud83d\udca1<\/div>\n<div class=\"anyva-ki-card-title\" style=\"color:#0A1628\">Suggestions<\/div>\n<div class=\"anyva-ki-card-text\" style=\"color:#64748B\">AI suggests TOMs, requirements, or actions \u2013 the user decides.<\/div>\n<\/div>\n<div class=\"anyva-ki-card\">\n<div class=\"anyva-ki-card-icon\">\ud83d\udcdd<\/div>\n<div class=\"anyva-ki-card-title\" style=\"color:#0A1628\">Understandability<\/div>\n<div class=\"anyva-ki-card-text\" style=\"color:#64748B\">AI suggestions are documentable and auditable as support notes.<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n<section style=\"background:#0A1628;padding:48px 20px\">\n<div style=\"max-width:1280px;margin:0 auto\">\n<h2 style=\"color:#ffffff;font-size:clamp(1.4rem,3vw,2.1rem);font-weight:700;margin-bottom:0.75rem\">AI support in practice<\/h2>\n<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>\n<p style=\"margin-top:1.5rem\"><a href=\"\/en\/contact-us\/\" style=\"background:#2563EB;color:#ffffff;font-weight:600;font-size:0.9rem;padding:11px 26px;border-radius:6px;text-decoration:none\">Arrange a demo<\/a><\/p>\n<\/div>\n<\/section>","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. Funktion 1 Plausibilisierung von Entscheidungen Ein LLM pr\u00fcft fachliche Bewertungen auf Nachvollziehbarkeit und Konsistenz. Es ersetzt keine Entscheidung \u2013 es liefert eine zweite Pr\u00fcfebene. \u26a0\ufe0f Risikobewertung Ist [&hellip;]<\/p>\n","protected":false},"author":0,"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"}],"replies":[{"embeddable":true,"href":"https:\/\/buchholz-software.de\/en\/wp-json\/wp\/v2\/comments?post=1818"}],"version-history":[{"count":4,"href":"https:\/\/buchholz-software.de\/en\/wp-json\/wp\/v2\/pages\/1818\/revisions"}],"predecessor-version":[{"id":1823,"href":"https:\/\/buchholz-software.de\/en\/wp-json\/wp\/v2\/pages\/1818\/revisions\/1823"}],"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}]}}