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Aus Unsicherheit wird eine gemeinsame Vision.",[410],{"type":324,"attrs":411},{"color":326},"InnerTextSection","StickyContentSection",{"_uid":415,"intro":416,"content":437,"component":413},"72d347ef-5a5f-483d-917e-3913b093bd0c",[417],{"cta":418,"_uid":419,"text":420,"headline":424,"component":308},[],"918a05b8-c5e1-459d-9723-2776e684bbcd",{"type":17,"content":421},[422],{"type":20,"attrs":423},{"textAlign":22},{"type":17,"content":425},[426],{"type":20,"attrs":427,"content":428},{"textAlign":22},[429,431,435],{"text":430,"type":26},"Ein ",{"text":432,"type":26,"marks":433},"Praxisbeispiel",[434],{"type":307},{"text":436,"type":26}," aus der Automobilindustrie",[438],{"id":41,"_uid":439,"content":440,"component":412},"f85b296a-e89f-4b98-a65e-987a6ca191dc",[441,539],{"_uid":442,"text":443,"headline":41,"component":355},"68599d52-8885-47bf-b925-b5acf76cb614",{"type":17,"content":444},[445,453,461,469,477,531],{"type":20,"attrs":446,"content":447},{"textAlign":22},[448],{"text":449,"type":26,"marks":450},"Um zu zeigen, wie sich das in der Praxis anfühlt, betrachten wir ein Beispiel aus der Mobilitätsbranche: Ein Automobilhersteller plant eine KI-Funktion, die Fahrer:innen bei Wartung, Fehlermeldungen und Inspektionen unterstützt. Die Idee klingt klar – ein „Service Assistant“, der proaktiv Hinweise gibt und Bedienungen erleichtert.",[451],{"type":324,"attrs":452},{"color":326},{"type":20,"attrs":454,"content":455},{"textAlign":22},[456],{"text":457,"type":26,"marks":458},"Im KI-Kompass-Gespräch zeigte sich jedoch schnell: Obwohl alle dieselbe Idee formuliert hatten, meinten sie etwas völlig Unterschiedliches.",[459],{"type":324,"attrs":460},{"color":326},{"type":20,"attrs":462,"content":463},{"textAlign":22},[464],{"text":465,"type":26,"marks":466},"Das Produktteam wollte eine KI, die autonom Vorschläge macht und Probleme aktiv erkennt. Marketing träumte von einer warmen, personalisierten Interaktion – ein emotionaler Assistent im Markenstil. Der Sicherheitsbereich bestand auf strengen Grenzen: keine Automatisierung während der Fahrt, volle Transparenz, maximale Nachvollziehbarkeit. Engineering sah technische Limitierungen, besonders bei Echtzeitdaten und Erklärbarkeit. Formal sah das Projekt klar aus. Im Gespräch wurde deutlich: Es gab vier völlig unterschiedliche Produktvisionen.",[467],{"type":324,"attrs":468},{"color":326},{"type":20,"attrs":470,"content":471},{"textAlign":22},[472],{"text":473,"type":26,"marks":474},"Durch das Konfigurieren der Skalen entstand dann jedoch ein gemeinsames Bild. Die KI sollte kein autonomer Co-Pilot werden und auch keine emotionale Figur verkörpern. Stattdessen formte sich die Vision eines situationsbewussten Service-Guides, der:",[475],{"type":324,"attrs":476},{"color":326},{"type":478,"content":479},"bullet_list",[480,491,501,511,521],{"type":481,"content":482},"list_item",[483],{"type":20,"attrs":484,"content":485},{"textAlign":22},[486],{"text":487,"type":26,"marks":488},"nur in sicheren Kontexten proaktiv wird",[489],{"type":324,"attrs":490},{"color":326},{"type":481,"content":492},[493],{"type":20,"attrs":494,"content":495},{"textAlign":22},[496],{"text":497,"type":26,"marks":498},"alle Empfehlungen mit Quellen belegt",[499],{"type":324,"attrs":500},{"color":326},{"type":481,"content":502},[503],{"type":20,"attrs":504,"content":505},{"textAlign":22},[506],{"text":507,"type":26,"marks":508},"keine Entscheidungen trifft",[509],{"type":324,"attrs":510},{"color":326},{"type":481,"content":512},[513],{"type":20,"attrs":514,"content":515},{"textAlign":22},[516],{"text":517,"type":26,"marks":518},"sachlich kommuniziert",[519],{"type":324,"attrs":520},{"color":326},{"type":481,"content":522},[523],{"type":20,"attrs":524,"content":525},{"textAlign":22},[526],{"text":527,"type":26,"marks":528},"klar innerhalb gesetzlicher Sicherheitsgrenzen operiert",[529],{"type":324,"attrs":530},{"color":326},{"type":20,"attrs":532,"content":533},{"textAlign":22},[534],{"text":535,"type":26,"marks":536},"Diese Klarheit hätte kein Briefing-Dokument der Welt erzeugt. Sie entstand durch das gemeinsame Durchlaufen der Skalen – durch das Sprechen über Grenzen, Ambitionen, Sorgen und Erwartungen.",[537],{"type":324,"attrs":538},{"color":326},{"_uid":540,"media":541,"video":41,"headline":41,"component":363,"aspectRatio":364,"preserveAspectRatio":45},"1dede0c4-3542-4ebe-b794-e635e0829c86",{"id":542,"alt":543,"name":544,"focus":41,"title":544,"source":41,"filename":545,"copyright":546,"fieldtype":43,"meta_data":547,"is_external_url":45},133892174335128,"Five people in a brightly lit office sitting around a table with laptops, engaged in a discussion and smiling. Whiteboard in the background.","Orientierung finden mit dem KI-Kompass","https:\u002F\u002Fa.storyblok.com\u002Ff\u002F180740\u002F5472x3648\u002Fdff6338d80\u002Fki-kompass_workshop.jpg","Ergosign",{"alt":543,"title":544,"source":41,"copyright":546},{"_uid":549,"intro":550,"content":569,"component":413},"cb866ed3-05e8-49dd-948b-46b4c72786e0",[551],{"cta":552,"_uid":553,"text":554,"headline":558,"component":308},[],"f022aaa8-d4ff-46a0-b1ed-2a4232353be4",{"type":17,"content":555},[556],{"type":20,"attrs":557},{"textAlign":22},{"type":17,"content":559},[560],{"type":20,"attrs":561,"content":562},{"textAlign":22},[563,565],{"text":564,"type":26},"Warum der ",{"text":566,"type":26,"marks":567},"KI-Kompass wirkt",[568],{"type":307},[570],{"id":41,"_uid":571,"content":572,"component":412},"936bc455-4744-4b01-9172-8d177a712380",[573],{"_uid":574,"text":575,"headline":41,"component":355},"3341b5bb-2b7c-4a81-bec2-2350c594ea6f",{"type":17,"content":576},[577,585,604],{"type":20,"attrs":578,"content":579},{"textAlign":22},[580],{"text":581,"type":26,"marks":582},"Unsere Erfahrung – und auch zahlreiche Veröffentlichungen von Google, IBM, Microsoft und unabhängigen Research-Gruppen – zeigen immer wieder: KI-Projekte scheitern selten an der Technologie. Sie scheitern an etwas viel Menschlicherem: unklaren Anforderungen, fehlender gemeinsamer Sprache und unterschiedlichen Erwartungshaltungen zwischen Business, Design, Legal und Tech. Oft beginnen Teams hochmotiviert, nur um Wochen später festzustellen, dass alle von etwas anderem sprechen.",[583],{"type":324,"attrs":584},{"color":326},{"type":20,"attrs":586,"content":587},{"textAlign":22},[588,593,599],{"text":589,"type":26,"marks":590},"Nach mehreren Iterationen und im Austausch mit Experten aus unterschiedlichen Fachbereichen wie IT Engineering, Data Science, Entwicklern und Projektmanagement sowie UX-Designern geht unser KI-Kompass genau dieses Problem an. Er übersetzt abstrakte KI-Konzepte in konkrete Entscheidungen und bringt so alle Stakeholder auf eine gemeinsame Linie. Er legt Leitplanken fest, bevor Ressourcen investiert werden, und verhindert teure Umwege oder Fehlentwicklungen. Noch bevor der erste Workshop beginnt, entsteht ein gemeinsames KI-Profil – ein klares Bild davon, wie das System funktionieren und wirken soll und welche Richtung es bewusst ",[591],{"type":324,"attrs":592},{"color":326},{"text":594,"type":26,"marks":595},"nicht",[596,598],{"type":324,"attrs":597},{"color":326},{"type":349},{"text":600,"type":26,"marks":601}," einschlagen darf.",[602],{"type":324,"attrs":603},{"color":326},{"type":20,"attrs":605,"content":606},{"textAlign":22},[607],{"text":608,"type":26,"marks":609},"Was bleibt, ist kein nebulöser Wunsch nach „irgendeinem KI-Mehrwert“, sondern strategische Orientierung: ein Projekt, das bewusst, fokussiert und mit einer geteilten Vision startet.",[610],{"type":324,"attrs":611},{"color":326},{"_uid":613,"intro":614,"content":635,"component":413},"8304c489-64a1-4f98-8c47-008eb4a2a4ca",[615],{"cta":616,"_uid":617,"text":618,"headline":622,"component":308},[],"676ae329-05ed-4c93-b0fc-e3cdf550d346",{"type":17,"content":619},[620],{"type":20,"attrs":621},{"textAlign":22},{"type":17,"content":623},[624],{"type":20,"attrs":625,"content":626},{"textAlign":22},[627,629,633],{"text":628,"type":26},"Was am ",{"text":630,"type":26,"marks":631},"Ende",[632],{"type":307},{"text":634,"type":26}," steht",[636],{"id":41,"_uid":637,"content":638,"component":412},"45026525-0bbd-490d-8a7d-7588b27f5ab6",[639],{"_uid":640,"text":641,"headline":41,"component":355},"e32ebfa2-6eb3-4ed4-8ff3-94691c3ebabf",{"type":17,"content":642},[643,651,659],{"type":20,"attrs":644,"content":645},{"textAlign":22},[646],{"text":647,"type":26,"marks":648},"Der KI-Kompass liefert kein fertiges Konzept. Aber er liefert etwas, das in dieser frühen Phase weit wertvoller ist: ein klar beschriebenes KI-Systemprofil. Ein gemeinsames Bild davon, welche Rolle die KI übernehmen soll, wie viel Einfluss sie auf die Nutzer hat, wie transparent sie sein muss und welche Grenzen sie nicht überschreiten darf.",[649],{"type":324,"attrs":650},{"color":326},{"type":20,"attrs":652,"content":653},{"textAlign":22},[654],{"text":655,"type":26,"marks":656},"Dieses Profil ist strategisch formuliert und für alle verständlich. Es bildet den idealen Startpunkt für jeden AI-Ideation-Workshop – und die Grundlage für ein verantwortungsvolles, nutzerzentriertes und markenkonformes KI-Produkt.",[657],{"type":324,"attrs":658},{"color":326},{"type":20,"attrs":660,"content":661},{"textAlign":22},[662],{"text":663,"type":26,"marks":664},"Der größte Fehler in KI-Projekten ist, zu früh mit der Umsetzung zu beginnen. Der zweitgrößte: ohne gemeinsame Sprache zu starten. Wenn Sie Ihr KI-Projekt nicht dem Zufall überlassen möchten und mit Orientierung statt Bauchgefühl starten wollen: Lassen Sie uns gemeinsam Ihren KI-Kompass ausrichten.",[665],{"type":324,"attrs":666},{"color":326},[668],{"_uid":669,"media":670,"headline":676,"component":687},"e62c3a6c-86b2-4538-8faf-c5de4c1f88d5",{"id":671,"alt":672,"name":41,"focus":41,"title":673,"source":41,"filename":674,"copyright":41,"fieldtype":43,"meta_data":675,"is_external_url":45},133884419971977,"A futuristic, glowing compass with a transparent dome displays a blue and pink needle, set on a dark background.","Der KI-Kompass","https:\u002F\u002Fa.storyblok.com\u002Ff\u002F180740\u002F3840x2160\u002F3de7b60086\u002Fki_kompass_header.png",{"alt":672,"title":673,"source":41,"copyright":41},{"type":17,"content":677},[678],{"type":20,"attrs":679,"content":680},{"textAlign":22},[681,683],{"text":682,"type":26},"Vom Buzzword zur Strategie: ",{"text":684,"type":26,"marks":685},"Der KI-Kompass als Erfolgsschlüssel",[686],{"type":307},"MediaHero",[689],"cfa8e739-dc5b-4239-ab1b-97232ab94ef1",[691],"6c327e6a-b387-4056-a36c-d5f33b79bed3",[693,694],"2b5052bc-db30-4ae9-87f0-ede87bb56855","c68efb2e-60c7-4bd6-a9ed-a1a52ba0a965",[696],{"id":41,"_uid":697,"form":698,"intro":699,"target":721,"contact":723,"component":724,"textFailure":725,"textSuccess":728,"titleFailure":731,"titleSuccess":734,"shouldRedirect":45,"buttonSuccessLabel":41,"googleAnalyticsEvent":41,"trackGoogleAnalytics":45},"48350e14-d162-4dc4-a863-7cebb2c5f825","30bb3154-6b97-41ea-aa21-55a700818918|||3780485|||2602_Kontaktformular_Development_DE",[700],{"cta":701,"_uid":702,"text":703,"headline":710,"component":308},[],"d7e54876-c278-40fa-9a87-70c8b676484d",{"type":17,"content":704},[705],{"type":20,"attrs":706,"content":707},{"textAlign":22},[708],{"text":709,"type":26},"Wir zeigen Ihnen, wie Sie KI-Projekte mit klarem Fahrplan und UX-Exzellenz erfolgreich umsetzen. 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",[750],{"type":324,"attrs":751},{"color":326},{"text":753,"type":26,"marks":754},"Doch eine zentrale Frage bleibt offen:",[755,757],{"type":324,"attrs":756},{"color":326},{"type":307},{"text":759,"type":26,"marks":760}," Was genau soll diese KI eigentlich tun? ",[761],{"type":324,"attrs":762},{"color":326},{"type":20,"attrs":764,"content":765},{"textAlign":22},[766],{"text":767,"type":26,"marks":768},"Sobald die ersten konkreten Gespräche stattfinden, tauchen Unsicherheiten auf, denn oft fehlt eine “gemeinsame Sprache\", um Ambitionen verständlich auszudrücken. Teams sprechen über KI, aber jeder meint etwas anderes. So entsteht in dieser frühen Phase ein diffuses Gefühl der Orientierungslosigkeit – nicht unbedingt wegen fehlenden Wissens, sondern aufgrund fehlender gemeinsamer Begriffe. ",[769],{"type":324,"attrs":770},{"color":326},{"type":20,"attrs":772,"content":773},{"textAlign":22},[774,779,788],{"text":775,"type":26,"marks":776},"Und wenn ein Projekt unter diesen Vorzeichen startet, läuft es oft in Schlangenlinien: widersprüchliche Erwartungen, zu viele Richtungswechsel, teure Iterationen und ein wachsendes Risiko, dass die Lösung am Ende weder nutzerzentriert noch markenkonform ist. Das bestätigt der Bericht des Massachusetts Institute of Technology (MIT): 95% aller KI-Projekte scheitern bei der Umsetzung und erzielen keine Erträge. 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