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Der Anspruch guter Regionalisierung lautet deshalb: Inhalte nicht nur übersetzen, sondern ihre Bedeutung für den jeweiligen Markt neu denken.",[],{"_key":864,"_type":164,"children":865,"markDefs":870,"style":172},"19d11b54a10c",[866],{"_key":867,"_type":168,"marks":868,"text":869},"870c717d4ef4",[814],"Das Headquarter als Anker der Regionalisierung",[],{"_key":872,"_type":164,"children":873,"markDefs":878,"style":172},"64da6955222f",[874],{"_key":875,"_type":168,"marks":876,"text":877},"3277c05f8d98",[],"Erfolgreiche Regionalisierung braucht trotzdem ein starkes Headquarter als Anker, das verhindert, dass am Ende jeder Markt einen eigenen, unabgestimmten Weg geht. Hier werden die globalen Markenrichtlinien definiert: Design-System, Tonalität, Kernbotschaften, technische Standards. Dieses Vorgehen sorgt dafür, dass die Marke weltweit wiedererkennbar bleibt, unabhängig davon, wo und wie sie ausgespielt wird. Ohne dieses Fundament würde Regionalisierung schnell in Beliebigkeit und Markenverwässerung enden.",[],{"_key":880,"_type":164,"children":881,"markDefs":886,"style":172},"a2426bb35084",[882],{"_key":883,"_type":168,"marks":884,"text":885},"4f28b1b8266f",[],"Zentral ist das Zusammenspiel zwischen Headquarter und den regionalen Teams, die die Vorgaben mit lokaler Relevanz füllen. Governance-Strukturen, klare Verantwortlichkeiten und ein gemeinsames Zielbild sorgen dafür, dass Zentrale und Märkte miteinander statt gegeneinander arbeiten. Dieses Spannungsfeld zwischen globaler Konsistenz und lokaler Anpassungsfähigkeit macht Regionalisierungsprojekte komplex – und lohnt sich, wenn es gelingt.",[],{"_key":888,"_type":164,"children":889,"markDefs":894,"style":172},"7fc05cadafda",[890],{"_key":891,"_type":168,"marks":892,"text":893},"f4e4ee90a825",[814],"Vier Leitplanken für erfolgreiche Regionalisierung",[],{"_key":896,"_type":164,"children":897,"markDefs":902,"style":172},"fea32bb492ef",[898],{"_key":899,"_type":168,"marks":900,"text":901},"4b52da67fb9a",[],"Aus zahlreichen Projekten haben wir vier Leitplanken abgeleitet, die jedes Regionalisierungsvorhaben tragen sollten.",[],{"_key":904,"_type":164,"children":905,"markDefs":914,"style":172},"2697855ba729",[906,910],{"_key":907,"_type":168,"marks":908,"text":909},"e0dbb43c6e1d",[814],"1. Nutzerzentrierung vor Marktannahme",{"_key":911,"_type":168,"marks":912,"text":913},"1720af809d86",[],"\nStatt aus der Zentrale zu vermuten, was ein Markt braucht, setzt Regionalisierung auf echtes Marktverständnis statt auf Bauchgefühl. Marktreife und Wettbewerbsdruck unterscheiden sich zwischen Zielmärkten oft stärker, als die Zentrale annimmt – auch wenn der Auftritt in anderen Märkten bereits gut funktioniert. Deshalb beginnt jede Regionalisierung mit einer eigenständigen Analyse, nicht mit der Lösung.",[],{"_key":916,"_type":164,"children":917,"markDefs":926,"style":172},"b7ed6266f05a",[918,922],{"_key":919,"_type":168,"marks":920,"text":921},"e5bc50f46151",[814],"2. Need-State-Denken statt reinem Länder-Fokus",{"_key":923,"_type":168,"marks":924,"text":925},"ca418108e90c",[],"\nLänder allein sind selten die beste Segmentierungslogik. Oft sagen Nutzungssituation und Erfahrungslevel mehr über die tatsächlichen Bedürfnisse aus als das Land, in dem jemand lebt. Gute Regionalisierung denkt deshalb in Bedarfslagen statt in reinen Ländergrenzen und bezieht Marktreife als einen von mehreren Faktoren mit ein.",[],{"_key":928,"_type":164,"children":929,"markDefs":938,"style":172},"ebc9ac11000d",[930,934],{"_key":931,"_type":168,"marks":932,"text":933},"b2533b19a923",[814],"3. Markenkonsistenz als nicht verhandelbarer Rahmen",{"_key":935,"_type":168,"marks":936,"text":937},"58274acb27d8",[],"\nJede regionale Anpassung bewegt sich innerhalb der globalen Markenrichtlinien. Gerade bei Bildwelten zeigt sich ein Zielkonflikt: Neutrale, global einsetzbare Motive lassen sich leichter über viele Märkte hinweg nutzen – lokal produzierte Bilder schaffen dafür oft mehr Identifikation. Gute Regionalisierung wägt hier bewusst ab, statt sich pauschal für eine Seite zu entscheiden.",[],{"_key":940,"_type":164,"children":941,"markDefs":950,"style":172},"8d285b90b11f",[942,946],{"_key":943,"_type":168,"marks":944,"text":945},"5607e71bfdba",[814],"4. Vom Maßnahmenkatalog zum getesteten Konzept",{"_key":947,"_type":168,"marks":948,"text":949},"17baaeb5dc09",[],"\nGute Ideen sind wertlos, solange niemand sie geprüft hat. Getestet wird dabei nicht die Übersetzung, sondern ob Struktur, Inhalte und Funktionen im Markt den Bedarf treffen. Erst Nutzertests und Stakeholder-Validierung machen aus einer Hypothese ein produktionsreifes Ergebnis.",[],{"_key":952,"_type":851,"aspectRatioSm":953,"aspectRatioXs":343,"asset":954,"caption":956},"dd775bee9e74","free",{"_ref":955,"_type":223},"image-ac1400a2847d70a1f3b6ae5af592dd7122764cb0-3134x2458-png","Die vier Leitplanken für Regionalisierung im Überblick (Quelle: Experience One AG)",{"_key":958,"_type":164,"children":959,"markDefs":964,"style":172},"7aa74da40ffc",[960],{"_key":961,"_type":168,"marks":962,"text":963},"1f8449ab0aa4",[814],"Drei Schritte, die sich in der Praxis bewährt haben",[],{"_key":966,"_type":164,"children":967,"markDefs":972,"style":172},"edfc18b4a372",[968],{"_key":969,"_type":168,"marks":970,"text":971},"4cedc8dd21df",[],"Um diese Leitplanken in konkrete Lösungen zu übersetzen, hat sich ein dreistufiges Vorgehen bewährt: vom gemeinsamen Problemverständnis zu klaren Zielsetzungen und schließlich zu getesteten Konzepten.",[],{"_key":974,"_type":164,"children":975,"markDefs":988,"style":172},"1eda175be853",[976,980,984],{"_key":977,"_type":168,"marks":978,"text":979},"40fcd4c4487a",[],"Im ",{"_key":981,"_type":168,"marks":982,"text":983},"7ad9a7c0a1d7",[814],"ersten Schritt",{"_key":985,"_type":168,"marks":986,"text":987},"8d8f7c08582e",[]," steht das Verstehen im Fokus: die systematische Erhebung von Marktanforderungen und Nutzerbedürfnissen, etwa durch Stakeholder-Interviews, Nutzerforschung, Benchmarking und die Auswertung bestehender Marktdaten. Daraus entsteht ein priorisierter Katalog relevanter Regionalisierungsfaktoren: Markenwahrnehmung, Kaufverhalten, kulturelle Vertrauenssignale.",[],{"_key":990,"_type":164,"children":991,"markDefs":1003,"style":172},"de06c48b2fa2",[992,995,999],{"_key":993,"_type":168,"marks":994,"text":979},"94046a92f342",[],{"_key":996,"_type":168,"marks":997,"text":998},"c8e00f58fe3c",[814],"zweiten Schritt",{"_key":1000,"_type":168,"marks":1001,"text":1002},"dbbc20069821",[]," folgt die Übersetzung dieses Verständnisses in klare Zielsetzungen. Jeder Faktor wird entlang der tatsächlichen Customer Journey verortet: An welcher Stelle im Entscheidungsprozess muss was erreicht werden, und wie unterscheidet sich das je nach Reifegrad und Eigenheiten eines Marktes? 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Auch praktische Fragen fließen in diesen Schritt mit ein, etwa regionale Produktverfügbarkeit oder lokale Kaufbarrieren wie unterschiedliche Finanzierungs- oder Serviceoptionen: Ziel ist ein Angebot, das im jeweiligen Markt tatsächlich verfügbar und nutzbar ist, unabhängig vom globalen Ankündigungs-Timing. So entsteht ein Konzept, das nachweislich funktioniert, statt nur gut auszusehen.",[],{"_key":1021,"_type":164,"children":1022,"markDefs":1027,"style":172},"4ce755d850e3",[1023],{"_key":1024,"_type":168,"marks":1025,"text":1026},"d1aa447ff169",[814],"Regionalisierung als Wachstumshebel",[],{"_key":1029,"_type":164,"children":1030,"markDefs":1035,"style":172},"a29eafa42ca7",[1031],{"_key":1032,"_type":168,"marks":1033,"text":1034},"c07133ac7217",[],"Regionalisierung ist ein strategischer Hebel für Unternehmen, die international wachsen wollen, ohne ihre Markenidentität zu verlieren. 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Doch wer übernimmt Verantwortung, wenn plötzlich alle Software bauen können? Dieser Frage widmet sich „Owning the Vibe“, das dritte Whitepaper unserer Reihe.",[],{"_key":1128,"_type":164,"children":1129,"markDefs":1134,"style":172},"b751f103f594",[1130],{"_key":1131,"_type":168,"marks":1132,"text":1133},"b3da5aea3eb9",[],"Das Whitepaper zeigt, welche Kompetenzen, Strukturen und Haltungen es braucht, damit aus technologischer Aufbruchstimmung nachhaltige Wertschöpfung wird. 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Unser drittes Whitepaper zeigt, was es dafür braucht.",{"_createdAt":1237,"_id":1238,"_key":1239,"_ref":1238,"_rev":1240,"_system":1241,"_type":760,"_updatedAt":1244,"category":1245,"content":1247,"language":13,"newsCategories":1540,"pinned":1052,"reference":66,"seo":1544,"slug":1560,"teaser":1562,"tenant":39,"title":1250},"2026-07-30T11:29:45Z","5e5b951a-3330-49dc-8fac-0dc67956848c","f4b5c9872579","pNG3g7WGRfBOpoHyKVEVNF",{"base":1242},{"id":1238,"rev":1243},"pNG3g7WGRfBOpoHyKV2FvR","2026-09-07T11:42:02Z",{"slug":1246},{"_type":450,"current":25},[1248,1252,1257,1530],{"_key":1249,"_type":767,"headline":1250,"publishedDate":1251},"ce35a002aacd","Wie KI in der Content-Produktion wirklich Wert schafft","2026-05-14",{"_key":1253,"_type":772,"sanityImage":1254},"d41d96959478",{"_type":218,"aspectRatioSm":774,"aspectRatioXs":343,"asset":1255},{"_ref":1256,"_type":223},"image-c0e55aec4ad227299edbbc708bb83cf3bf5905c1-5400x2250-png",{"_key":1258,"_type":779,"content":1259,"sidebar":1524},"92d27a81e24a",[1260,1268,1276,1306,1313,1321,1329,1337,1345,1353,1360,1368,1373,1381,1389,1397,1405,1413,1425,1437,1449,1457,1465,1473,1481,1489,1497,1505,1513,1521],{"_key":1261,"_type":164,"children":1262,"markDefs":1267,"style":172},"b7819e8668d5",[1263],{"_key":1264,"_type":168,"marks":1265,"text":1266},"323e0a5a729b",[],"Wer Content-Produktion mit KI automatisieren will, braucht zuerst kein Tool, sondern ein präzises Verständnis des eigenen Prozesses. Denn KI verstärkt, was da ist: Gute Prozesse werden schneller, schlechte Prozesse produzieren schneller Fehler. Wir zeigen ein kompaktes Vorgehen in fünf Schritten, mit dem Unternehmen das Thema bewusst angehen, statt es vor sich herzuschieben. Außerdem erfahren Sie, in welchen Phasen KI heute schon konkret Wert schafft – und in welchen der Mensch bewusst am Steuer bleibt.",[],{"_key":1269,"_type":164,"children":1270,"markDefs":1275,"style":172},"6d8862c44ce0",[1271],{"_key":1272,"_type":168,"marks":1273,"text":1274},"e9ea42386975",[814],"Bei der Skalierung von KI-Use-Cases entscheidet die Liebe zum Detail",[],{"_key":1277,"_type":164,"children":1278,"markDefs":1301,"style":172},"8f52e149f086",[1279,1283,1288,1292,1297],{"_key":1280,"_type":168,"marks":1281,"text":1282},"d04d41af3230",[],"Marketing und Kommunikation gehören zu den Bereichen, in denen Unternehmen KI am häufigsten einsetzen – laut ",{"_key":1284,"_type":168,"marks":1285,"text":1287},"9e740a593e75",[1286],"e64179263531","Bitkom",{"_key":1289,"_type":168,"marks":1290,"text":1291},"c12d6375fd75",[]," nutzen 57 Prozent der KI-anwendenden Unternehmen in Deutschland die Technologie dort. Doch zwischen Experiment und Produktion klafft eine Lücke: Der ",{"_key":1293,"_type":168,"marks":1294,"text":1296},"8d39c4710dc5",[1295],"a933f876ecb6","State of Agentic Orchestration and Automation Report 2026",{"_key":1298,"_type":168,"marks":1299,"text":1300},"20f6a82b5d09",[]," von Camunda zeigt, dass zwar 66 Prozent der befragten Unternehmen KI-Agenten nutzen, aber nur elf Prozent der Use Cases tatsächlich in Produktion gehen. Als zentralen Grund nennen 58 Prozent der Befragten die Sorge, dass unkontrollierte Agenten Probleme in schlecht implementierten Prozessen noch verschärfen.",[1302,1304],{"_key":1286,"_type":54,"href":1303},"https:\u002F\u002Fwww.bitkom.org\u002FPresse\u002FPresseinformation\u002FDurchbruch-Kuenstliche-Intelligenz",{"_key":1295,"_type":54,"href":1305},"https:\u002F\u002Fcamunda.com\u002Fstate-of-agentic-orchestration-and-automation\u002F",{"_key":1307,"_type":164,"children":1308,"markDefs":1312,"style":172},"3a0b78c74cc8",[1309],{"_key":1298,"_type":168,"marks":1310,"text":1311},[],"Genau hier liegt der Denkfehler vieler Automatisierungsvorhaben: Sie starten beim Tool und enden beim Prozess. Erfolgreiche Projekte machen es umgekehrt.",[],{"_key":1314,"_type":164,"children":1315,"markDefs":1320,"style":172},"6a3fd9f35daf",[1316],{"_key":1317,"_type":168,"marks":1318,"text":1319},"5af9e900f4b0",[814],"Das Zielbild kommt vor dem Modell",[],{"_key":1322,"_type":164,"children":1323,"markDefs":1328,"style":172},"b42af57bc193",[1324],{"_key":1325,"_type":168,"marks":1326,"text":1327},"761c35a954fa",[],"Jede Automatisierung beginnt mit einer scheinbar banalen Frage: Was geht in den Prozess hinein – und was soll herauskommen? Bei einer Content-Migration heißt das etwa: Welche Basisinformationen liegen im alten System, mit welcher Absicht wurden sie gepflegt, und in welchem Format sollen sie im neuen System ankommen? Solange dieses Zielbild unscharf bleibt, produziert jede KI nur schneller Unklarheit.",[],{"_key":1330,"_type":164,"children":1331,"markDefs":1336,"style":172},"68d475f265e1",[1332],{"_key":1333,"_type":168,"marks":1334,"text":1335},"c5c377e1f813",[],"So naheliegend das klingt: Gestellt wird diese Frage in der Praxis selten. Wir erleben häufig, dass Teams direkt über Prompts und Modelle diskutieren, bevor geklärt ist, woran ein gutes Ergebnis überhaupt erkennbar wäre.",[],{"_key":1338,"_type":164,"children":1339,"markDefs":1344,"style":172},"22cda812aacf",[1340],{"_key":1341,"_type":168,"marks":1342,"text":1343},"81d7a34bea66",[814],"Fünf Schritte vom Prozessverständnis zur KI-Fähigkeit",[],{"_key":1346,"_type":164,"children":1347,"markDefs":1352,"style":172},"a3f4d316b609",[1348],{"_key":1349,"_type":168,"marks":1350,"text":1351},"e9998932f9d6",[],"In unseren Projekten hat sich ein Vorgehen in fünf Schritten bewährt, das den Prozess vollständig sichtbar macht, bevor über Automatisierung entschieden wird. ",[],{"_key":1354,"_type":164,"children":1355,"markDefs":1359,"style":172},"23c266683790",[1356],{"_key":1349,"_type":168,"marks":1357,"text":1358},[],"Zuerst legen wir das Zielbild fest: Ausgangspunkt und Endpunkt des Prozesses, inklusive Basisinformationen, Intention und Output-Format. Darauf aufbauend schlüsseln wir die Phasen auf – der Weg vom Ist zum Soll wird in klar abgegrenzte Prozessschritte zerlegt. Für jede Phase klären wir die Verantwortlichkeiten: Wer macht was? Hier zeigt sich oft, wie viel implizites Wissen in einzelnen Köpfen steckt. Anschließend ordnen wir Hilfsmittel und Quellen zu – welche Systeme, Daten und Dokumente speisen die jeweilige Phase? Zuletzt setzen wir an den Übergängen zwischen den Phasen Input\u002FOutput-Gates: Sie definieren, welche Qualität ein Zwischenergebnis haben muss, um weitergereicht zu werden. ",[],{"_key":1361,"_type":164,"children":1362,"markDefs":1367,"style":172},"d3c5d6d989e3",[1363],{"_key":1364,"_type":168,"marks":1365,"text":1366},"815920b78c59",[],"Jeder dieser fünf Bausteine ist für sich machbar – zusammen ergeben sie das vollständige Prozessbild.",[],{"_key":1369,"_type":851,"aspectRatioXs":953,"asset":1370,"caption":1372},"712fd564c665",{"_ref":1371,"_type":223},"image-ed84a5e52deb1f98839c9a906c8f6deacdd761be-3072x4608-png","Fünf Schritte in der KI-Content-Produktion (Quelle: Experience One)",{"_key":1374,"_type":164,"children":1375,"markDefs":1380,"style":172},"5266538822ec",[1376],{"_key":1377,"_type":168,"marks":1378,"text":1379},"2220fde27dca",[],"Erst auf dieser Grundlage lässt sich seriös beantworten, wo KI-Potenziale liegen – und wo der Mensch zwingend in der Schleife bleibt. Die Gates aus dem letzten Schritt werden dabei zu natürlichen Kontrollpunkten: Sie markieren die Stellen, an denen ein Mensch prüft, freigibt oder korrigiert, bevor der Prozess weiterläuft.",[],{"_key":1382,"_type":164,"children":1383,"markDefs":1388,"style":172},"3b43a28d5f3b",[1384],{"_key":1385,"_type":168,"marks":1386,"text":1387},"2141c7ac4a84",[814],"Nicht jede Phase muss automatisiert werden",[],{"_key":1390,"_type":164,"children":1391,"markDefs":1396,"style":172},"631a0c0a935b",[1392],{"_key":1393,"_type":168,"marks":1394,"text":1395},"055522e87b00",[],"Die Analyse führt regelmäßig zu einem Ergebnis, das dem Hype widerspricht: Nicht jede Phase eines Content-Prozesses eignet sich für Automatisierung. Repetitive Schritte mit klaren Regeln – etwa das Überführen strukturierter Produktdaten in ein Zielformat – sind ideale Kandidaten. Phasen, in denen Markenurteil, strategische Abwägung oder rechtliche Bewertung gefragt sind, bleiben menschliche Aufgaben. Wer das Prozessbild vor sich hat, kann diese Unterscheidung fundiert treffen, statt sie dem Tool-Anbieter oder dem LLM zu überlassen. KI kann sicherlich den Entscheidungsraum fokussieren, die menschliche Abwägung und Einordnung schafft und sichert aber den Wert im Prozess.",[],{"_key":1398,"_type":164,"children":1399,"markDefs":1404,"style":172},"a0448d812df6",[1400],{"_key":1401,"_type":168,"marks":1402,"text":1403},"48fb1736bccc",[814],"Inspire, Create, Scale: Wo im Content-Lebenszyklus KI welchen Wert stiftet",[],{"_key":1406,"_type":164,"children":1407,"markDefs":1412,"style":172},"c6aeb1812ce9",[1408],{"_key":1409,"_type":168,"marks":1410,"text":1411},"f41cd8f8c896",[],"Eine hilfreiche Unterscheidung ergänzt das Fünf-Schritte-Vorgehen um eine horizontale Ebene: In welchem Abschnitt des Content-Lebenszyklus bewegt sich der Prozess überhaupt? Wir unterscheiden drei Streams mit jeweils eigenem Automatisierungsgrad und einer anderen Rolle der KI.",[],{"_key":1414,"_type":164,"children":1415,"markDefs":1424,"style":172},"636ab32e5466",[1416,1420],{"_key":1417,"_type":168,"marks":1418,"text":1419},"a29176342f44",[814],"Inspire",{"_key":1421,"_type":168,"marks":1422,"text":1423},"d1e9ce60c388",[]," umfasst Strategie, Konzeption und Ideation – etwa Content-Strategien, Content Design oder Produkt-Taxonomien. Hier ist KI Sparringspartner: Sie liefert Varianten, Recherche und Strukturvorschläge, die Entscheidung bleibt beim Menschen.",[],{"_key":1426,"_type":164,"children":1427,"markDefs":1436,"style":172},"88b27fb24978",[1428,1432],{"_key":1429,"_type":168,"marks":1430,"text":1431},"e48518c3cf81",[814],"Create",{"_key":1433,"_type":168,"marks":1434,"text":1435},"b41136101082",[]," meint die Produktion einzelner Assets entlang definierter Phasen, zum Beispiel die Landingpage-Erstellung. Hier arbeiten Mensch und KI in Co-Creation: Die KI produziert, der Mensch prüft und gibt an den Gates frei.",[],{"_key":1438,"_type":164,"children":1439,"markDefs":1448,"style":172},"68a6d16a0580",[1440,1444],{"_key":1441,"_type":168,"marks":1442,"text":1443},"59b7d3a37282",[814],"Scale",{"_key":1445,"_type":168,"marks":1446,"text":1447},"77e8b3fd9bdb",[]," beschreibt Skalierung in hoher Stückzahl – Varianten, Kanalableitungen oder Content-Migrationen über automatisierte Pipelines. Hier ist der Automatisierungsgrad am höchsten; der Mensch sitzt fast nur noch an den Input\u002FOutput-Gates.",[],{"_key":1450,"_type":164,"children":1451,"markDefs":1456,"style":172},"2c627695725e",[1452],{"_key":1453,"_type":168,"marks":1454,"text":1455},"21bf6107ec49",[],"In der Praxis verschwimmen diese drei Streams schneller, als man denkt: Wenn ein Team denselben Automatisierungsanspruch, der in der Skalierung sinnvoll ist, unreflektiert auf einen Ideation-Workshop überträgt, wird die Zusammenarbeit zwischen Mensch und KI an der falschen Stelle kalibriert. Der praktische Nutzen der Unterscheidung liegt genau hier: Sie hilft, für jeden Stream die passende Erwartungshaltung zu setzen, statt mit Scale-Tempo an eine Inspire-Aufgabe heranzugehen oder wertvolle Skalierungspotenziale im Create-Modus ungenutzt zu lassen.",[],{"_key":1458,"_type":164,"children":1459,"markDefs":1464,"style":172},"0a2b45c070c6",[1460],{"_key":1461,"_type":168,"marks":1462,"text":1463},"8c716ab27d0c",[814],"Aus der Praxis: Landingpage-Erstellung und Content-Migration",[],{"_key":1466,"_type":164,"children":1467,"markDefs":1472,"style":172},"1582a471e28a",[1468],{"_key":1469,"_type":168,"marks":1470,"text":1471},"47436d294d16",[],"Wir haben dieses Vorgehen unter anderem bei einem führenden Hersteller von Motorgeräten und einem internationalen Technologiekonzern angewendet – in zwei Streams, die unterschiedlicher kaum sein könnten.",[],{"_key":1474,"_type":164,"children":1475,"markDefs":1480,"style":172},"e556852d8859",[1476],{"_key":1477,"_type":168,"marks":1478,"text":1479},"64f717d64723",[],"Im Create-Stream ging es um die klassische Landingpage-Erstellung: Aus einem Briefing entsteht über definierte Phasen eine publikationsreife Seite, bei der KI Texterstellung und Strukturvorschläge übernimmt, während Freigaben an den Gates menschlich bleiben.",[],{"_key":1482,"_type":164,"children":1483,"markDefs":1488,"style":172},"7c503105b69d",[1484],{"_key":1485,"_type":168,"marks":1486,"text":1487},"9ccea9066c02",[],"Im Scale-Stream stand eine Content-Migration an: Produktinformationen aus einem bestehenden PIM-System (Product Information Management) sollten in ein neues System überführt werden – inklusive Anpassung an eine neue Taxonomie. Gerade hier zeigte sich der Wert des Prozessverständnisses: Die eigentliche Herausforderung lag nicht im Übersetzen der Inhalte, sondern im Klären der Frage, mit welcher Absicht Inhalte ursprünglich gepflegt wurden und welche Qualität sie im Zielsystem haben müssen.",[],{"_key":1490,"_type":164,"children":1491,"markDefs":1496,"style":172},"687755787058",[1492],{"_key":1493,"_type":168,"marks":1494,"text":1495},"76fcaa09daf5",[],"In beiden Projekten stand am Anfang dieselbe Überlegung: Was soll am Ende herauskommen, und welche Phasen führen dorthin? Diese Klarheit vorab hat in beiden Fällen dafür gesorgt, dass die Automatisierung genau an der richtigen Stelle ansetzte.",[],{"_key":1498,"_type":164,"children":1499,"markDefs":1504,"style":172},"1b328fbcae2f",[1500],{"_key":1501,"_type":168,"marks":1502,"text":1503},"319c543df8ef",[814],"Fazit: Fünf Bausteine, ein vollständiges Bild",[],{"_key":1506,"_type":164,"children":1507,"markDefs":1512,"style":172},"fa98c4fa875d",[1508],{"_key":1509,"_type":168,"marks":1510,"text":1511},"c3a679ef280f",[],"Wer bei der Content-Automatisierung alles auf einmal lösen will, verliert sich meist in Grundsatzdiskussionen über Tools und Modelle. Wer stattdessen fünf kompakte Schritte durchgeht – Zielbild, Phasen, Verantwortlichkeiten, Quellen und Gates – schafft mit jedem Schritt sofort Klarheit und hat am Ende alle Optionen offen: den Landingpage Creator für die Content-Produktion, Low-Code-Pipelines für wiederkehrende Abläufe oder eine systematische Content-Migration für den Systemwechsel. Wer diesen Weg überspringt, wählt Werkzeuge für ein Problem, das er noch nicht verstanden hat.",[],{"_key":1514,"_type":164,"children":1515,"markDefs":1520,"style":172},"319cf53b9bb9",[1516],{"_key":1517,"_type":168,"marks":1518,"text":1519},"859dc51662c2",[],"Sie möchten wissen, welche Phasen Ihrer Content-Produktion sich für KI-Unterstützung eignen und in welchem Stream Sie den größten Hebel haben? Sprechen Sie uns an: Wir bringen die Methodik und die Erfahrung aus realen Projekten mit.",[],{"_key":1522,"_type":1050,"href":1051,"label":1523},"6c771926fbb1","Sprechen Sie mit uns",{"contactPerson":1525},{"_type":1056,"copyContent":1526,"person":1527,"title":1529},"position",{"_ref":1528,"_type":223},"8679b80e-04ba-46b8-b3ae-150239fd297b","Autor",{"_key":1531,"_type":1089,"headline":1532,"items":1533},"98282d2a3154","Das könnte auch spannend sein",[1534,1537],{"_key":1535,"_ref":1536,"_type":223},"34783a17611b","2ae370f9-5738-4e1a-b631-f3efae0a87ae",{"_key":1538,"_ref":1539,"_type":223},"91e68183dae0","953af8d3-8b1e-4134-a13b-912260744d21",[1541],{"_key":1542,"_ref":1543,"_type":223},"b4df02e1d127","8ee90207-6d1b-4f56-a27c-eca2cc663105",{"description":1545,"image":1546,"keywords":1549,"title":1559,"type":1224},"Warum erfolgreiche Content-Automatisierung beim Prozessverständnis beginnt – ein Fünf-Schritte-Vorgehen aus der Praxis von Experience One.",{"_type":1214,"asset":1547},{"_ref":1548,"_type":223},"image-5ee0f40c8e9283a0fb46cf5c2b3e01a5b5a28b46-3012x2250-png",[1550,1551,1552,1553,1554,1555,1556,1557,1222,1558],"KI-Content ","Content-Automatisierung ","Prozessverständnis ","KI-Agenten","Content-Migration ","Content-Produktion","Automatisierungsgrad","Landingpage-Erstellung","Prozessautomatisierung","KI in der Content-Produktion: Erst der Prozess, dann das Tool",{"_type":450,"current":1561},"ki-content-produktion",{"_type":1228,"categories":1563,"headline":1564,"publishedDate":1251,"sanityImage":1565,"text":1567},[26],"KI-Content: Der Prozess zählt",{"_type":218,"aspectRatioXs":343,"asset":1566},{"_ref":1548,"_type":223},"Wer Content-Produktion automatisieren will, braucht zuerst kein Tool, sondern ein präzises Prozessverständnis. Ein Fünf-Schritte-Vorgehen aus der Praxis zeigt, wo KI wirklich Wert schafft.",[1569],{"_key":1570,"_ref":1543,"_type":223},"1cef6901a656",{"description":1572,"image":1573,"keywords":1576,"title":1582,"type":1224},"Regionalisierung geht über Lokalisierung hinaus: Wie globale Webauftritte in jedem Markt relevant werden und dabei als eine starke Marke erkennbar bleiben.",{"_type":1214,"asset":1574},{"_ref":1575,"_type":223},"image-461431f6aef5997cbbdb20946ebf6866c30ca62f-3012x2250-png",[843,1577,1578,1579,1580,1581],"Lokalisierung","Markenkonsistenz","Nutzerzentrierung","UX","UI","Regionalisierung: Global stark, lokal relevant",{"_type":450,"current":751},{"_type":1228,"categories":1585,"headline":752,"publishedDate":769,"sanityImage":1586,"text":1589},[26],{"_type":218,"alt":1587,"aspectRatioXs":343,"asset":1588,"title":752},"Regionalisierung vs. Lokalisierung - Ramona Eimler von Experience One",{"_ref":1575,"_type":223},"Ein globaler Markenauftritt wirkt nicht in jedem Markt gleich. Warum Regionalisierung mehr ist als Lokalisierung, welche Rolle das Headquarter spielt und wie Unternehmen strategisch vorgehen.",1792747368835]