{"id":225837,"date":"2026-03-13T08:00:00","date_gmt":"2026-03-13T08:00:00","guid":{"rendered":"https:\/\/www.9senses.ai\/?p=225837"},"modified":"2026-06-25T10:50:13","modified_gmt":"2026-06-25T10:50:13","slug":"9senses-launches-chatbot-audit-service","status":"publish","type":"post","link":"https:\/\/www.9senses.ai\/de\/9senses-launches-chatbot-audit-service\/","title":{"rendered":"9senses Chatbot Audit macht KI-Qualit\u00e4t messbar"},"content":{"rendered":"<p>Immer mehr Unternehmen setzen KI-Chatbots ein \u2013 doch kaum eines wei\u00df, wie gut sie wirklich funktionieren. 9senses, das neu gegr\u00fcndete Beratungsunternehmen f\u00fcr wert-schaffende KI mit Schweizer Wurzeln, lanciert im M\u00e4rz 2026 sein erstes Produkt: das 9senses Chatbot Audit. Damit kann die Leistung von generativen KI-Systemen erstmals anhand eines standardisierten, herstellerunabh\u00e4ngigen Verfahrens bewerten und zertifi-ziert werden.<\/p>\n\n\n\n<p>Was bei einem Chatbot z\u00e4hlt, ist, ob er Nutzeranliegen versteht, sinnvolle Antworten lie-fert, Gespr\u00e4che strukturiert f\u00fchrt \u2013 und den Nutzern hilft, ihre Ziele zu erreichen. Darin liegt auch der Beitrag zum Gesch\u00e4ftserfolg: rund um die Uhr das Unternehmen positiv zu vertreten, Probleme kosteng\u00fcnstig zu l\u00f6sen und die anderen Kan\u00e4le zu entlasten. Die ersten durchgef\u00fchrten Audits zeigen deutlich, dass dieses Ziel h\u00e4ufig verfehlt wird.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Vier Dimensionen, eine objektive Bewertung<\/h2>\n\n\n\n<p>\u00a0Das Level-1 Audit bildet die erste Stufe im 9senses Audit Framework und bewertet Chat-bots aus der Nutzersicht im realen Einsatz \u2013 ohne Systemzugang. Dabei werden vier gewichtete Dimensionen analysiert:<\/p>\n\n\n\n<figure class=\"wp-block-image alignright size-medium\"><img loading=\"lazy\" decoding=\"async\" width=\"212\" height=\"300\" src=\"\/wp-content\/uploads\/2026\/02\/2026_02_28_Audit-Example_D_Page_1-scaled.jpg\" alt=\"\" class=\"wp-image-224330\"\/><\/figure>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Antwortqualit\u00e4t:<br><\/strong>Relevanz, Richtigkeit und Vollst\u00e4ndigkeit<\/li>\n\n\n\n<li><strong>Geschwindigkeit:<br><\/strong>Antwortzeiten unter realen Bedingungen<\/li>\n\n\n\n<li><strong>User Interface:<br><\/strong>Gestaltung und Bedienbarkeit<\/li>\n\n\n\n<li><strong>Dialogqualit\u00e4t:<br><\/strong>Struktur, Verlauf und Abschlussorientierung<\/li>\n<\/ul>\n\n\n\n<p>Zus\u00e4tzlich bewertet das Audit den daraus gesch\u00e4tzten Gesch\u00e4ftsbeitrag und gibt erste Aufschl\u00fcsse zu Compliance, Ethik und \u2013 falls gew\u00fcnscht \u2013 der Mehrsprachigkeit.<\/p>\n\n\n\n<p>Werden in einem Level 1-Audit schwerwiegende Schw\u00e4chen entdeckt, erlaubt ein vertief-tes Level 2-Audit eine weiterf\u00fchrende Analyse aller Aspekte eines generativen KI-Systems in einem Open-Box-Verfahren in enger Zusammenarbeit mit den Kunden.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Verf\u00fcgbarkeit und Preise<\/h2>\n\n\n\n<p>Das 9senses Chatbot Audit (Level 1) ist ab sofort direkt \u00fcber <a href=\"http:\/\/www.9senses.ai\/de\/chatbot-audit\/\">www.9senses.ai\/de\/chatbot-audit\/<\/a> ab 599 EUR buchbar, verschiedene Optionen sind konfigurierbar. Die Lieferzeit betr\u00e4gt lediglich f\u00fcnf Werktage. Damit ist das Chatbot Audit ein kosteng\u00fcnstiges und schnell ver-f\u00fcgbares Instrument zur \u2013 auch wiederholten \u2013 \u00dcberpr\u00fcfung einer generativen KI-L\u00f6sung im Kundenkontakt. Level 2 Audits werden nur auf Anfrage und individuell auf die Kundenbedarfe konzipiert.<\/p>\n\n\n\n<div data-wp-interactive=\"core\/file\" class=\"wp-block-file\"><object data-wp-bind--hidden=\"!state.hasPdfPreview\" hidden class=\"wp-block-file__embed\" data=\"https:\/\/www.9senses.ai\/wp-content\/uploads\/2026\/03\/Press-Release_9senses-Chatbot-Audit-Launch.pdf\" type=\"application\/pdf\" style=\"width:100%;height:600px\" aria-label=\"Einbettung von Press Release Chatbot Audit.\"><\/object><a id=\"wp-block-file--media-19a9a70b-2b07-4897-bf5c-431a7744b400\" href=\"https:\/\/www.9senses.ai\/wp-content\/uploads\/2026\/03\/Pressemitteilung-Chatbot-Audit.pdf\">Pressemitteilung Chatbot Audit<\/a><a href=\"https:\/\/www.9senses.ai\/wp-content\/uploads\/2026\/03\/Pressemitteilung-Chatbot-Audit.pdf\" class=\"wp-block-file__button wp-element-button\" download aria-describedby=\"wp-block-file--media-19a9a70b-2b07-4897-bf5c-431a7744b400\">Download<\/a><\/div>\n\n\n\n<div data-wp-interactive=\"core\/file\" class=\"wp-block-file\"><object data-wp-bind--hidden=\"!state.hasPdfPreview\" hidden class=\"wp-block-file__embed\" data=\"https:\/\/www.9senses.ai\/wp-content\/uploads\/2026\/02\/2026_02_17_Audit-Example-ENG.pdf\" type=\"application\/pdf\" style=\"width:100%;height:600px\" aria-label=\"Einbettung von Audit Example ENG.\"><\/object><a id=\"wp-block-file--media-400758e6-f982-4bee-ba22-b4094da706db\" href=\"https:\/\/www.9senses.ai\/wp-content\/uploads\/2026\/03\/2026_02_28_Audit-Example_D.pdf\">Audit Example ENG<\/a><a href=\"https:\/\/www.9senses.ai\/wp-content\/uploads\/2026\/03\/2026_02_28_Audit-Example_D.pdf\" class=\"wp-block-file__button wp-element-button\" download aria-describedby=\"wp-block-file--media-400758e6-f982-4bee-ba22-b4094da706db\">Download<\/a><\/div>\n<div class=\"et_pb_section_0 et_pb_section et_pb_section--fixed et_section_regular et_flex_section et-interaction-target-j4q7ilznj7 et_pb_toc_list_excluded preset--group--divi-section--divi-box-shadow--default preset--group--divi-section--divi-sizing--hsj9uxo--default\" data-interaction-target=\"j4q7ilznj7\" id=\"eliza_popup\"><div class=\"et_pb_row_0 et_pb_row et_flex_row preset--group--divi-row--divi-box-shadow--default preset--group--divi-row--divi-sizing--h1k452m--default\"><div class=\"et_pb_column_0 et_pb_column et_flex_column et_pb_css_mix_blend_mode_passthrough et_flex_column_16_24 et_flex_column_16_24_tablet et_flex_column_24_24_phone et_flex_column_16_24_tabletWide preset--group--divi-column--divi-box-shadow--default preset--group--divi-column--divi-sizing--hsj9uxo--default\"><div class=\"et_pb_heading_0 et_pb_heading et_pb_module et_flex_module preset--group--divi-heading--divi-box-shadow--default\"><div class=\"et_pb_heading_container\"><h1 class=\"et_pb_module_header\">Mit Eliza reden<\/h1><\/div><\/div><div class=\"et_pb_text_0 et_pb_text et_pb_bg_layout_light et_pb_module et_flex_module preset--group--divi-text--divi-box-shadow--default preset--module--divi-text--default\"><div class=\"et_pb_text_inner\"><p>This is a faithful representation of the 1966 Eliza version created by Joseph Weizenbaum. It was reproduced by <a href=\"https:\/\/github.com\/anthay\/ELIZA\" target=\"_blank\" rel=\"noopener\" title=\"Source Code\">Anthony Hay in C++<\/a> based on the original 1965 code and updated by behavior transcripts of the final version.<\/p>\n<\/div><\/div><div class=\"et_pb_code_0 et_pb_code et_pb_module preset--group--divi-code--divi-box-shadow--default\"><div class=\"et_pb_code_inner\"><div class=\"eliza1966-lazy\" data-eliza1966-src=\"https:\/\/www.9senses.ai\/de\/?eliza1966_fragment=1&theme=green&punctuation=modern&layout=1966\"><div class=\"eliza1966-lazy-loading\">Loading ELIZA\u2026<\/div><\/div><\/div><\/div><\/div><div class=\"et_pb_column_1 et_pb_column et-last-child et_flex_column et_pb_css_mix_blend_mode_passthrough et_flex_column_8_24 et_flex_column_8_24_tablet et_flex_column_24_24_phone et_flex_column_8_24_tabletWide preset--group--divi-column--divi-box-shadow--default preset--group--divi-column--divi-sizing--hsj9uxo--default\"><div class=\"et_pb_text_1 et_pb_text et_pb_bg_layout_light et_pb_module et_flex_module preset--group--divi-text--divi-box-shadow--default preset--module--divi-text--default\"><div class=\"et_pb_text_inner\"><p>Note: The paper version emulates Joseph Weizenbaum's original 1966 ELIZA as it ran on the CTSS time-sharing system (IBM 7094) at MIT, accessed via an IBM Selectric-based hardcopy terminal. On CTSS the question mark served as the line-delete (line-kill) control character, so it could not appear in typed input \u2014 and the DOCTOR script accordingly produced no question marks. They are therefore suppressed here, on both sides of the conversation. The green \"terminal\" version enables question marks instead; it represents a glowing CRT display of a kind that did not exist for ELIZA in 1966 and evokes a later era of computing.<\/p>\n<\/div><\/div><div class=\"et_pb_icon_0 et_pb_icon et_pb_module et_flex_module preset--group--divi-icon--divi-box-shadow--default\" data-interaction-trigger=\"h67t95bz93\"><span class=\"et_pb_icon_wrap\"><span class=\"et-pb-icon\">M<\/span><\/span><\/div><\/div><\/div><\/div><div class=\"et_pb_section_1 et_pb_section et_pb_section--fixed et_section_regular et_flex_section et-interaction-target-9rih6tog66 et_pb_toc_list_excluded preset--group--divi-section--divi-box-shadow--default preset--group--divi-section--divi-sizing--hsj9uxo--default\" data-interaction-target=\"9rih6tog66\" id=\"deepblue_popup\"><div class=\"et_pb_row_1 et_pb_row et_flex_row preset--group--divi-row--divi-box-shadow--default preset--group--divi-row--divi-sizing--h1k452m--default\"><div class=\"et_pb_column_2 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 preset--group--divi-column--divi-box-shadow--default preset--group--divi-column--divi-sizing--hsj9uxo--default\"><div class=\"et_pb_heading_1 et_pb_heading et_pb_module et_flex_module preset--group--divi-heading--divi-box-shadow--default\"><div class=\"et_pb_heading_container\"><h1 class=\"et_pb_module_header\">Play Chess like 1997 (Deep Blue Style)<\/h1><\/div><\/div><div class=\"et_pb_text_2 et_pb_text et_pb_bg_layout_light et_pb_module et_flex_module preset--group--divi-text--divi-box-shadow--default preset--module--divi-text--default\"><div class=\"et_pb_text_inner\"><p>Here's our simulation of Deep Blue. You can play against Stockfish (able to run on a laptop today with similar strength compared to Deep Blue). <strong>Bonus<\/strong>: you can replay the legendary 1997 rematch where Deep Blue won against Garry Kasparov.<\/p>\n<\/div><\/div><div class=\"et_pb_code_1 et_pb_code et_pb_module preset--group--divi-code--divi-box-shadow--default\"><div class=\"et_pb_code_inner\"><div class=\"dbc-lazy-fragment\" id=\"dbc_lazy_blgyMq\" data-dbc-fragment-src=\"https:\/\/www.9senses.ai\/de\/?dbc_fragment=1&skill=20&movetime=2000&play_as=white&strength=max&mode=play\"><div class=\"dbc-lazy-loading\">Loading Deep Blue\u2026<\/div><\/div><\/div><\/div><div class=\"et_pb_icon_1 et_pb_icon et-interaction-target-ynpv13xer1 et_pb_module et_flex_module preset--group--divi-icon--divi-box-shadow--default\" data-interaction-trigger=\"9x1hz2zbe6\" data-interaction-target=\"ynpv13xer1\"><span class=\"et_pb_icon_wrap\"><span class=\"et-pb-icon\">M<\/span><\/span><\/div><\/div><\/div><\/div>","protected":false},"excerpt":{"rendered":"<p>Ein strukturiertes Bewertungsverfahren f\u00fcr KI-Chatbots erm\u00f6glicht erstmals das Benchmarking von generativen KI-Systemen \u2013 unabh\u00e4ngig, kosteng\u00fcnstig und schnell<\/p>","protected":false},"author":2,"featured_media":225723,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[51],"tags":[],"class_list":["post-225837","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.9senses.ai\/de\/wp-json\/wp\/v2\/posts\/225837","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.9senses.ai\/de\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.9senses.ai\/de\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.9senses.ai\/de\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.9senses.ai\/de\/wp-json\/wp\/v2\/comments?post=225837"}],"version-history":[{"count":23,"href":"https:\/\/www.9senses.ai\/de\/wp-json\/wp\/v2\/posts\/225837\/revisions"}],"predecessor-version":[{"id":226062,"href":"https:\/\/www.9senses.ai\/de\/wp-json\/wp\/v2\/posts\/225837\/revisions\/226062"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.9senses.ai\/de\/wp-json\/wp\/v2\/media\/225723"}],"wp:attachment":[{"href":"https:\/\/www.9senses.ai\/de\/wp-json\/wp\/v2\/media?parent=225837"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.9senses.ai\/de\/wp-json\/wp\/v2\/categories?post=225837"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.9senses.ai\/de\/wp-json\/wp\/v2\/tags?post=225837"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}