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Only user testing and stakeholder validation can turn a hypothesis into a product-ready solution.",[],{"_key":893,"_type":791,"alt":894,"aspectRatioSm":895,"aspectRatioXs":264,"asset":896,"caption":898},"dd775bee9e74","An Overview of the Four Guidelines for Regionalization","free",{"_ref":897,"_type":225},"image-b9ed3f25678dcd23b3c1dd02a3438b0eb8e56b98-3134x2458-png","An Overview of the Four Guidelines for Regionalization (Source: Experience One AG)",{"_key":900,"_type":164,"children":901,"markDefs":906,"style":172},"7aa74da40ffc",[902],{"_key":903,"_type":168,"marks":904,"text":905},"1f8449ab0aa4",[754],"Three steps that have proven effective in practice",[],{"_key":908,"_type":164,"children":909,"markDefs":914,"style":172},"edfc18b4a372",[910],{"_key":911,"_type":168,"marks":912,"text":913},"4cedc8dd21df",[],"To translate these guidelines into concrete solutions, a three-step approach has proven effective: from a shared understanding of the problem to clear objectives and, finally, to tested concepts.",[],{"_key":916,"_type":164,"children":917,"markDefs":930,"style":172},"1eda175be853",[918,922,926],{"_key":919,"_type":168,"marks":920,"text":921},"40fcd4c4487a",[],"The ",{"_key":923,"_type":168,"marks":924,"text":925},"7373a97c2cbf",[754],"first step",{"_key":927,"_type":168,"marks":928,"text":929},"e12ceaaa1cab",[]," focuses on understanding: the systematic identification of market requirements and user needs, for example through stakeholder interviews, user research, benchmarking, and the analysis of existing market data. This results in a prioritized list of relevant regionalization factors: brand perception, purchasing behavior, and cultural indicators of trust.",[],{"_key":932,"_type":164,"children":933,"markDefs":945,"style":172},"de06c48b2fa2",[934,937,941],{"_key":935,"_type":168,"marks":936,"text":921},"94046a92f342",[],{"_key":938,"_type":168,"marks":939,"text":940},"ca05807785fb",[754],"second step",{"_key":942,"_type":168,"marks":943,"text":944},"424f61149f9b",[]," involves translating this understanding into clear objectives. Each factor is mapped along the actual customer journey: At what point in the decision-making process must what be achieved, and how does this vary depending on a market’s level of maturity and specific characteristics? The result is a structured catalog of objectives that defines the role each phase of the journey plays for each market type—before determining the means by which these objectives will be achieved.",[],{"_key":947,"_type":164,"children":948,"markDefs":961,"style":172},"17e9388238b5",[949,953,957],{"_key":950,"_type":168,"marks":951,"text":952},"195a7451c8e7",[],"It is only in the ",{"_key":954,"_type":168,"marks":955,"text":956},"b19435bb0645",[754],"third step",{"_key":958,"_type":168,"marks":959,"text":960},"0c068b864cba",[]," that this becomes the solution: deriving market-specific measures from each objective, translating them into a UX\u002FUI concept, and testing them based on clear hypotheses and success criteria. Practical considerations are also factored into this step, such as regional product availability or local barriers to purchase—like varying financing or service options: The goal is an offering that is actually available and usable in the respective market, regardless of the global announcement timeline. This results in a concept that is proven to work, rather than just looking good.",[],{"_key":963,"_type":164,"children":964,"markDefs":969,"style":172},"4ce755d850e3",[965],{"_key":966,"_type":168,"marks":967,"text":968},"d1aa447ff169",[754],"Regionalization as a Driver of Growth",[],{"_key":971,"_type":164,"children":972,"markDefs":977,"style":172},"a29eafa42ca7",[973],{"_key":974,"_type":168,"marks":975,"text":976},"c07133ac7217",[],"Regionalization is a strategic tool for companies that want to grow internationally without losing their brand identity. Those who understand the difference between localization and true regionalization, establish a clear dynamic between headquarters and the market, follow clear guidelines, and implement them through a proven, three-step process can create digital experiences that are relevant everywhere and remain recognizable as the same strong brand everywhere.",[],{"_key":979,"_type":164,"children":980,"markDefs":989,"style":172},"ff12fb5ab075",[981,985],{"_key":982,"_type":168,"marks":983,"text":984},"02ca220f890e",[754],"Are you thinking about adapting your global websites to new markets? ",{"_key":986,"_type":168,"marks":987,"text":988},"e89235c9da1f",[],"Let's work together to identify where the greatest potential lies.",[],{"_key":991,"_type":992,"href":993,"isCentered":994,"isPrimary":218,"label":995,"reference":66},"8becf21d0e5f","cta","mailto: business@experienceone.com",false,"Talk to us",{"contactPerson":997},{"_type":998,"copyContent":999,"person":1000,"title":1028},"contactPerson","department",{"_createdAt":1001,"_id":1002,"_rev":1003,"_system":1004,"_type":1007,"_updatedAt":1008,"department":1009,"email":1016,"linkedin":1017,"name":1018,"position":1019,"sanityImage":1025,"tenant":39,"title":1018},"2024-11-06T08:52:01Z","6a5bb0fb-7c49-4a75-b210-c51b56c84f78","yJhUoeCyYX6TP8NVw8Thzn",{"base":1005},{"id":1002,"rev":1006},"F9sm5sRGR2NwRupEYc3heh","person","2026-10-09T06:54:21Z",[1010,1014],{"_key":1011,"_type":1012,"language":690,"value":1013},"54faf5942ab2abaa7fb523f2fb3ea02b","internationalizedArrayStringValue","Project Management",{"_key":1015,"_type":1012,"language":13,"value":1013},"7264d8d0a9de0586466fb93d416d1c6b","business@experienceone.com","https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Framona-e-3408a6200\u002F","Ramona Eimler",[1020,1023],{"_key":1021,"_type":1012,"language":690,"value":1022},"e03eda0cdf30b5a4dd49af24c7606fb3","Senior Project Managerin Digital",{"_key":1024,"_type":1012,"language":13,"value":1022},"d21d57a0617047014387aa5ebd253c81",{"_type":220,"alt":1018,"aspectRatioSm":247,"aspectRatioXs":247,"asset":1026},{"_ref":1027,"_type":225},"image-77fee6d0174b3127bf1b0fb40da30485b6ee7313-2033x2032-jpg","Author",{"_key":1030,"_type":1031,"aspectRatioSm":1032,"aspectRatioXs":1032,"contactPerson":66,"content":66,"headline":1033,"imageSliderPersons":66,"items":1034,"persons":66,"reference":66,"sidebar":66},"99c935adb811","teaserGroup","8x9","You might also be interested in",[1035,1173],{"_createdAt":1036,"_id":1037,"_key":1038,"_ref":1037,"_rev":1039,"_type":700,"_updatedAt":1040,"category":1041,"content":1043,"language":13,"newsCategories":1143,"pinned":994,"reference":66,"seo":1147,"slug":1161,"teaser":1163,"tenant":39,"title":1172},"2026-10-20T09:28:05Z","cc6fca4f-6825-447e-b769-28132cf1c4af","4ce20cefc9fc","C0BJIodEATD0ys6zEneyI7","2026-10-22T09:25:17Z",{"slug":1042},{"_type":426,"current":25},[1044,1048,1055,1134],{"_key":1045,"_type":707,"headline":1046,"publishedDate":1047},"d36742a6c4f8","White Paper “Owning the Vibe”: Who Is Driving the AI Transformation?","2026-09-23",{"_key":1049,"_type":712,"sanityImage":1050},"0ffc8572994f",{"_type":220,"alt":1051,"aspectRatioSm":714,"aspectRatioXs":264,"asset":1052,"title":1054},"The whitepaper \"Owning the Vibe\" by Experience One reveals who is shaping the AI transformation.",{"_ref":1053,"_type":225},"image-9f7581a3bdbd415ca8e88ec6b105282e7b42160a-2700x1125-png","Whitepaper Owning the Vibe",{"_key":1056,"_type":719,"content":1057,"sidebar":1130},"852341fb9975",[1058,1066,1074,1082,1090,1098,1106,1113,1120,1123],{"_key":1059,"_type":164,"children":1060,"markDefs":1065,"style":172},"11d1e5285850",[1061],{"_key":1062,"_type":168,"marks":1063,"text":1064},"971a453ba210",[],"Vibe Coding turns ideas into prototypes in minutes. But who takes responsibility when suddenly everyone can build software? “Owning the Vibe,” the third whitepaper in our series, addresses this question.",[],{"_key":1067,"_type":164,"children":1068,"markDefs":1073,"style":172},"c80cddcd2a57",[1069],{"_key":1070,"_type":168,"marks":1071,"text":1072},"c1e0bcaa078a",[],"The whitepaper outlines the skills, structures, and mindsets needed to turn technological excitement into sustainable value creation. This includes a concrete approach—from the right use case to the MVP—derived from our experience in AI projects.",[],{"_key":1075,"_type":164,"children":1076,"markDefs":1081,"style":172},"d0b1d45172d8",[1077],{"_key":1078,"_type":168,"marks":1079,"text":1080},"0d2eb4f72eb1",[754],"Six interviews from the business and academic worlds",[],{"_key":1083,"_type":164,"children":1084,"markDefs":1089,"style":172},"7e50ec9fbccf",[1085],{"_key":1086,"_type":168,"marks":1087,"text":1088},"e510505c285d",[],"The whitepaper is supplemented by six in-depth interviews, including with experts from Siemens, BARMER, Bosch eBike Systems, the Institute for Technology and Work e. V., and Nordhausen University of Applied Sciences. Drawing on real-world business experience and research, they explain how AI initiatives can be managed within organizations and who is responsible for them.",[],{"_key":1091,"_type":164,"children":1092,"markDefs":1097,"style":172},"be5b1142fa03",[1093],{"_key":1094,"_type":168,"marks":1095,"text":1096},"afa8fe3e125f",[],"“Owning the Vibe” continues our series based on the 5-Level Model for AI Experiences and “Road to Agentic AI.” After focusing on technology and automation, we are now shifting our attention to the people responsible for AI systems.",[],{"_key":1099,"_type":164,"children":1100,"markDefs":1105,"style":172},"e2372c14433a",[1101],{"_key":1102,"_type":168,"marks":1103,"text":1104},"6c3c91feac91",[],"",[],{"_key":1107,"_type":791,"alt":1108,"aspectRatioSm":714,"aspectRatioXs":264,"asset":1109,"caption":1108,"crop":1111,"hotspot":1112},"e3a5a01eb4cc","Insights from the whitepaper",{"_ref":1110,"_type":225},"image-d050aef57363041050319d39189b48e6b8852f22-2700x1125-png",{"_type":268,"bottom":270,"left":270,"right":270,"top":270},{"_type":273,"height":303,"width":303,"x":276,"y":276},{"_key":1114,"_type":164,"children":1115,"markDefs":1119,"style":172},"d6cd38254009",[1116],{"_key":1117,"_type":168,"marks":1118,"text":1104},"873d59afd301",[],[],{"_key":1121,"_type":992,"label":1122},"fe6c31fb9430","Request the \"Owning the Vibe\" whitepaper now",{"_key":1124,"_type":164,"children":1125,"markDefs":1129,"style":172},"517f43c81628",[1126],{"_key":1127,"_type":168,"marks":1128,"text":1104},"13fa1c3ddf8a",[],[],{"contactPerson":1131},{"_type":998,"copyContent":999,"person":1132,"title":38},{"_ref":1133,"_type":225},"6b9467e8-975d-4c52-bf12-17e55364c113",{"_key":1135,"_type":1031,"aspectRatioSm":1032,"aspectRatioXs":1032,"headline":1033,"items":1136},"11d8dcd86512",[1137,1140],{"_key":1138,"_ref":1139,"_type":225},"c98a01e4cc35","4a6c5096-f1b3-4dc0-8887-15cd2904503f",{"_key":1141,"_ref":1142,"_type":225},"de171bfb76ee","5744d9ce-d95a-4dd3-8d3f-c985a4b3379f",[1144],{"_key":1145,"_ref":1146,"_type":225},"916bd1b9becc","95fd0b5d-76c2-4a0e-ba11-32fac200cb89",{"description":1148,"image":1149,"keywords":1153,"title":1159,"type":1160},"Who is responsible when anyone can build software? Whitepaper featuring a process model and 6 interviews, including Siemens, BARMER, and Bosch. Request it now.",{"_type":1150,"asset":1151},"image",{"_ref":1152,"_type":225},"image-4b7e322048dacbd6f2ca305783ac0dd1e1fd39dc-1200x1350-png",[1154,1155,1156,1157,1158],"AI ownership","Vibe Coding","Responsibility for AI Initiatives","AI use case","Agentic AI","Whitepaper Owning the Vibe: AI Ownership | Experience One","article",{"_type":426,"current":1162},"whitepaper-owning-the-vibe",{"_type":1164,"categories":1165,"headline":1166,"publishedDate":1047,"sanityImage":1167,"text":1171},"newsArticleTeaser",[26],"Who is driving the AI transformation?",{"_type":220,"alt":1168,"aspectRatioXs":264,"asset":1169,"title":1170},"The whitepaper \"Owning the Vibe\" - Experience One",{"_ref":1053,"_type":225},"The whitepaper \"Owning the Vibe\"","Vibe Coding turns ideas into prototypes in minutes. Whether that creates value is up to the people who take responsibility. Our third white paper shows what it takes to make that happen","Whitepaper “Owning the Vibe”: Who is driving the AI transformation?",{"_createdAt":1174,"_id":1175,"_key":1176,"_ref":1175,"_rev":1177,"_system":1178,"_type":700,"_updatedAt":1181,"category":1182,"content":1184,"language":13,"newsCategories":1476,"pinned":994,"reference":66,"seo":1480,"slug":1496,"teaser":1498,"tenant":39,"title":1187},"2026-07-30T11:29:45Z","593586de-63fb-4f2d-b4cb-d5251e282008","729ded4d447f","MpW5wSfHlpzMVGC3DyK6bF",{"base":1179},{"id":1175,"rev":1180},"1ldNh76NU0J0b4so5HZF8N","2026-09-07T11:42:28Z",{"slug":1183},{"_type":426,"current":25},[1185,1189,1194,1467],{"_key":1186,"_type":707,"headline":1187,"publishedDate":1188},"ce35a002aacd","How AI Really Adds Value to Content Production","2026-05-14",{"_key":1190,"_type":712,"sanityImage":1191},"d41d96959478",{"_type":220,"aspectRatioSm":714,"aspectRatioXs":264,"asset":1192},{"_ref":1193,"_type":225},"image-c0e55aec4ad227299edbbc708bb83cf3bf5905c1-5400x2250-png",{"_key":1195,"_type":719,"content":1196,"sidebar":1462},"92d27a81e24a",[1197,1205,1213,1243,1251,1259,1267,1275,1283,1291,1299,1307,1312,1320,1328,1336,1344,1352,1364,1376,1388,1396,1404,1412,1420,1428,1436,1444,1452,1460],{"_key":1198,"_type":164,"children":1199,"markDefs":1204,"style":172},"b7819e8668d5",[1200],{"_key":1201,"_type":168,"marks":1202,"text":1203},"323e0a5a729b",[],"If you want to automate content production with AI, you don’t need a tool right away—you need a precise understanding of your own process. That’s because AI amplifies what’s already there: Good processes become faster, while poor processes produce errors more quickly. We present a five-step, streamlined approach that enables companies to tackle this issue head-on rather than putting it off. You’ll also learn in which areas AI is already creating tangible value—and in which areas humans remain firmly in control.",[],{"_key":1206,"_type":164,"children":1207,"markDefs":1212,"style":172},"6d8862c44ce0",[1208],{"_key":1209,"_type":168,"marks":1210,"text":1211},"e9ea42386975",[754],"When scaling AI use cases, attention to detail is key",[],{"_key":1214,"_type":164,"children":1215,"markDefs":1238,"style":172},"8f52e149f086",[1216,1220,1225,1229,1234],{"_key":1217,"_type":168,"marks":1218,"text":1219},"d04d41af3230",[],"Marketing and communications are among the areas where companies most frequently use AI—according to ",{"_key":1221,"_type":168,"marks":1222,"text":1224},"7c262924ed59",[1223],"99a2192bdfe9","Bitkom",{"_key":1226,"_type":168,"marks":1227,"text":1228},"dcf3b19ddd69",[],", 57 percent of AI-using companies in Germany employ the technology in these areas. But there’s a gap between experimentation and production: ",{"_key":1230,"_type":168,"marks":1231,"text":1233},"40c42121aa4d",[1232],"2ee10e3ce1c6","Camunda’s State of Agentic Orchestration and Automation Report 2026",{"_key":1235,"_type":168,"marks":1236,"text":1237},"3957450b7576",[]," shows that while 66 percent of the companies surveyed use AI agents, only 11 percent of use cases actually go into production. Fifty-eight percent of respondents cite concerns that uncontrolled agents will exacerbate problems in poorly implemented processes as the main reason.",[1239,1241],{"_key":1223,"_type":54,"href":1240},"https:\u002F\u002Fwww.bitkom.org\u002FPresse\u002FPresseinformation\u002FDurchbruch-Kuenstliche-Intelligenz",{"_key":1232,"_type":54,"href":1242},"https:\u002F\u002Fcamunda.com\u002Fstate-of-agentic-orchestration-and-automation\u002F",{"_key":1244,"_type":164,"children":1245,"markDefs":1250,"style":172},"0cbd6d4a0f9e",[1246],{"_key":1247,"_type":168,"marks":1248,"text":1249},"c38fc7a89f47",[],"This is precisely where the flaw in the thinking behind many automation projects lies: they start with the tool and end with the process. Successful projects do it the other way around.",[],{"_key":1252,"_type":164,"children":1253,"markDefs":1258,"style":172},"6a3fd9f35daf",[1254],{"_key":1255,"_type":168,"marks":1256,"text":1257},"5af9e900f4b0",[754],"The target image comes before the model",[],{"_key":1260,"_type":164,"children":1261,"markDefs":1266,"style":172},"b42af57bc193",[1262],{"_key":1263,"_type":168,"marks":1264,"text":1265},"761c35a954fa",[],"Every automation project begins with a seemingly trivial question: What goes into the process—and what should come out of it? In the case of a content migration, for example, this means: What basic information is stored in the old system, for what purpose was it maintained, and in what format should it be imported into the new system? As long as this target vision remains unclear, any AI will only generate confusion—just faster.",[],{"_key":1268,"_type":164,"children":1269,"markDefs":1274,"style":172},"da2c23bea0c8",[1270],{"_key":1271,"_type":168,"marks":1272,"text":1273},"8299ae21bf0c",[],"As obvious as it sounds, this question is rarely asked in practice. We often see teams jumping straight into discussions about prompts and models before it’s even clear what would constitute a good result.",[],{"_key":1276,"_type":164,"children":1277,"markDefs":1282,"style":172},"22cda812aacf",[1278],{"_key":1279,"_type":168,"marks":1280,"text":1281},"81d7a34bea66",[754],"Five Steps from Process Understanding to AI Capability",[],{"_key":1284,"_type":164,"children":1285,"markDefs":1290,"style":172},"e986186f7c0e",[1286],{"_key":1287,"_type":168,"marks":1288,"text":1289},"a6fcb8765e8e",[],"In our projects, a five-step approach has proven effective for making the process fully transparent before deciding on automation.",[],{"_key":1292,"_type":164,"children":1293,"markDefs":1298,"style":172},"8ce4a8c00086",[1294],{"_key":1295,"_type":168,"marks":1296,"text":1297},"799439a61ed8",[],"First, we define the target state: the starting point and end point of the process, including basic information, intent, and output format. Building on this, we break down the phases—the path from the current state to the target state is divided into clearly defined process steps. For each phase, we clarify responsibilities: Who does what? This often reveals just how much implicit knowledge resides in individual minds. Next, we identify the tools and sources—which systems, data, and documents feed into each phase? Finally, we establish input\u002Foutput gates at the transitions between phases: These define the quality standards an intermediate result must meet in order to be passed on.",[],{"_key":1300,"_type":164,"children":1301,"markDefs":1306,"style":172},"8d0007f5d294",[1302],{"_key":1303,"_type":168,"marks":1304,"text":1305},"9072504c5b54",[],"Each of these five building blocks is feasible on its own—together, they form the complete picture of the process.",[],{"_key":1308,"_type":791,"aspectRatioXs":895,"asset":1309,"caption":1311},"3742e1e31061",{"_ref":1310,"_type":225},"image-221935c350095bd0c3cbb809a4e9a2d5d285b431-3072x4608-png","Five Steps in AI Content Production (Source: Experience One)",{"_key":1313,"_type":164,"children":1314,"markDefs":1319,"style":172},"5266538822ec",[1315],{"_key":1316,"_type":168,"marks":1317,"text":1318},"2220fde27dca",[],"Only on this basis can we seriously determine where AI’s potential lies—and where human involvement remains essential. The “gates” from the previous step serve as natural checkpoints: They mark the points at which a human reviews, approves, or corrects the process before it continues.",[],{"_key":1321,"_type":164,"children":1322,"markDefs":1327,"style":172},"3b43a28d5f3b",[1323],{"_key":1324,"_type":168,"marks":1325,"text":1326},"2141c7ac4a84",[754],"Not every phase needs to be automated",[],{"_key":1329,"_type":164,"children":1330,"markDefs":1335,"style":172},"631a0c0a935b",[1331],{"_key":1332,"_type":168,"marks":1333,"text":1334},"055522e87b00",[],"The analysis consistently yields a result that contradicts the hype: Not every phase of a content process is suitable for automation. Repetitive steps with clear rules—such as converting structured product data into a target format—are ideal candidates. Phases that require brand judgment, strategic consideration, or legal evaluation remain tasks for humans. Those who have a clear picture of the process can make this distinction with confidence, rather than leaving it to the tool provider or the LLM. AI can certainly help narrow down the decision-making scope, but human judgment and context provide and ensure the value within the process.",[],{"_key":1337,"_type":164,"children":1338,"markDefs":1343,"style":172},"a0448d812df6",[1339],{"_key":1340,"_type":168,"marks":1341,"text":1342},"48fb1736bccc",[754],"Inspire, Create, Scale: Where AI Adds Value in the Content Lifecycle",[],{"_key":1345,"_type":164,"children":1346,"markDefs":1351,"style":172},"c6aeb1812ce9",[1347],{"_key":1348,"_type":168,"marks":1349,"text":1350},"f41cd8f8c896",[],"A helpful distinction adds a horizontal dimension to the five-step process: At what stage of the content lifecycle is the process actually taking place? We distinguish between three streams, each with its own level of automation and a different role for AI.",[],{"_key":1353,"_type":164,"children":1354,"markDefs":1363,"style":172},"636ab32e5466",[1355,1359],{"_key":1356,"_type":168,"marks":1357,"text":1358},"a29176342f44",[754],"Inspire ",{"_key":1360,"_type":168,"marks":1361,"text":1362},"d2aa2f5182eb",[],"encompasses strategy, conceptualization, and ideation—such as content strategies, content design, and product taxonomies. Here, AI serves as a sparring partner: It provides options, research, and structural suggestions, but the final decision rests with humans.",[],{"_key":1365,"_type":164,"children":1366,"markDefs":1375,"style":172},"88b27fb24978",[1367,1371],{"_key":1368,"_type":168,"marks":1369,"text":1370},"e48518c3cf81",[754],"Create ",{"_key":1372,"_type":168,"marks":1373,"text":1374},"2161f8278b0b",[],"refers to the production of individual assets through defined phases, such as landing page creation. Here, humans and AI work together in a co-creation process: the AI produces the content, while humans review it and approve it at each stage.",[],{"_key":1377,"_type":164,"children":1378,"markDefs":1387,"style":172},"68a6d16a0580",[1379,1383],{"_key":1380,"_type":168,"marks":1381,"text":1382},"59b7d3a37282",[754],"Scale",{"_key":1384,"_type":168,"marks":1385,"text":1386},"77e8b3fd9bdb",[]," describes scaling at high volumes—variants, channel derivations, or content migrations via automated pipelines. This is where the level of automation is highest; humans are involved almost exclusively at the input\u002Foutput gates.",[],{"_key":1389,"_type":164,"children":1390,"markDefs":1395,"style":172},"2c627695725e",[1391],{"_key":1392,"_type":168,"marks":1393,"text":1394},"21bf6107ec49",[],"In practice, these three streams blur together faster than you might think: If a team thoughtlessly applies the same automation standards—which make sense in scaling—to an ideation workshop, the collaboration between humans and AI will be calibrated in the wrong place. The practical benefit of this distinction lies precisely here: It helps set the right expectations for each stream, rather than approaching an “Inspire” task with “Scale” speed or leaving valuable scaling potential untapped in “Create” mode.",[],{"_key":1397,"_type":164,"children":1398,"markDefs":1403,"style":172},"0a2b45c070c6",[1399],{"_key":1400,"_type":168,"marks":1401,"text":1402},"8c716ab27d0c",[754],"Real-World Examples: Landing Page Creation and Content Migration",[],{"_key":1405,"_type":164,"children":1406,"markDefs":1411,"style":172},"1582a471e28a",[1407],{"_key":1408,"_type":168,"marks":1409,"text":1410},"47436d294d16",[],"We’ve applied this approach at, among others, a leading manufacturer of power tools and an international technology conglomerate—in two streams that could hardly be more different.",[],{"_key":1413,"_type":164,"children":1414,"markDefs":1419,"style":172},"8c8718e9b55f",[1415],{"_key":1416,"_type":168,"marks":1417,"text":1418},"d0530d497154",[],"The Create stream focused on traditional landing page creation: Starting with a briefing, a page ready for publication is developed through defined phases, with AI handling text generation and structural suggestions, while approvals at the gates remain in human hands.",[],{"_key":1421,"_type":164,"children":1422,"markDefs":1427,"style":172},"a5738a2a9c35",[1423],{"_key":1424,"_type":168,"marks":1425,"text":1426},"16a840aa2974",[],"The Scale stream involved a content migration: product information from an existing PIM (Product Information Management) system needed to be transferred to a new system—including adaptation to a new taxonomy. It was precisely here that the value of understanding the process became apparent: the real challenge lay not in translating the content, but in clarifying the original intent behind the content’s creation and the quality standards it must meet in the target system.",[],{"_key":1429,"_type":164,"children":1430,"markDefs":1435,"style":172},"f2b3aba8d4ed",[1431],{"_key":1432,"_type":168,"marks":1433,"text":1434},"2077c2873121",[],"Both projects began with the same fundamental question: What should the end result be, and what steps lead to it? This clarity from the outset ensured that automation was applied exactly where it was needed in both cases.",[],{"_key":1437,"_type":164,"children":1438,"markDefs":1443,"style":172},"1b328fbcae2f",[1439],{"_key":1440,"_type":168,"marks":1441,"text":1442},"319c543df8ef",[754],"Conclusion: Five steps, one complete picture",[],{"_key":1445,"_type":164,"children":1446,"markDefs":1451,"style":172},"fa98c4fa875d",[1447],{"_key":1448,"_type":168,"marks":1449,"text":1450},"86d816d8ce29",[],"Anyone who tries to solve everything at once when it comes to content automation usually gets bogged down in theoretical debates about tools and models. Those who instead follow five concise steps—vision, phases, responsibilities, sources, and gates—gain immediate clarity with each step and ultimately keep all options open: the Landing Page Creator for content production, low-code pipelines for recurring workflows, or a systematic content migration for a system change. Those who skip this process end up choosing tools for a problem they haven’t yet understood.",[],{"_key":1453,"_type":164,"children":1454,"markDefs":1459,"style":172},"23248c2a741a",[1455],{"_key":1456,"_type":168,"marks":1457,"text":1458},"4f88098b176b",[],"Would you like to know which phases of your content production are suitable for AI support and where you have the greatest leverage? Contact us: We bring the methodology and experience from real-world projects to the table.",[],{"_key":1461,"_type":992,"href":993,"label":995},"6c771926fbb1",{"contactPerson":1463},{"_type":998,"copyContent":1464,"person":1465,"title":1028},"position",{"_ref":1466,"_type":225},"8679b80e-04ba-46b8-b3ae-150239fd297b",{"_key":1468,"_type":1031,"headline":1033,"items":1469},"98282d2a3154",[1470,1473],{"_key":1471,"_ref":1472,"_type":225},"7ffb381852be","e2acbd5b-8559-457b-87f8-13525181a5e0",{"_key":1474,"_ref":1475,"_type":225},"d4f706e80461","f90376b5-b386-4914-84a6-81379958b4bb",[1477],{"_key":1478,"_ref":1479,"_type":225},"b4df02e1d127","8ee90207-6d1b-4f56-a27c-eca2cc663105",{"description":1481,"image":1482,"keywords":1485,"title":1495,"type":1160},"Why Successful Content Automation Starts with Understanding the Process—A Five-Step Approach Based on Experience One’s Real-World Practice.",{"_type":1150,"asset":1483},{"_ref":1484,"_type":225},"image-5ee0f40c8e9283a0fb46cf5c2b3e01a5b5a28b46-3012x2250-png",[1486,1487,1488,1489,1490,1491,1492,1493,1158,1494],"AI Content ","Content automisation","Understanding the Process","AI agents","Content migration ","Content production","Degree of Automation","Landing Page Creation","Process Automation","AI in Content Production: First the Process, Then the Tool",{"_type":426,"current":1497},"ai-content-production",{"_type":1164,"categories":1499,"headline":1500,"publishedDate":1188,"sanityImage":1501,"text":1503},[26],"AI Content: It's the Process That Counts",{"_type":220,"aspectRatioXs":264,"asset":1502},{"_ref":1484,"_type":225},"If you want to automate content production, what you need first isn’t a tool, but a precise understanding of the process. A five-step, real-world approach shows where AI truly adds value.",[1505],{"_key":1506,"_ref":1479,"_type":225},"1cef6901a656",{"description":1508,"image":1509,"keywords":1512,"title":1519,"type":1160},"Regionalization goes beyond localization: How global websites can be relevant in every market while remaining recognizable as a strong brand.",{"_type":1150,"asset":1510},{"_ref":1511,"_type":225},"image-461431f6aef5997cbbdb20946ebf6866c30ca62f-3012x2250-png",[1513,1514,1515,1516,1517,1518],"Regionalization","Lokalization","Brand consistency","User-Centered Approach","UX","UI","Regionalization: Globally Strong, Locally Relevant",{"_type":426,"current":698},{"_type":1164,"categories":1522,"headline":699,"publishedDate":709,"sanityImage":1523,"text":1526},[26],{"_type":220,"alt":1524,"aspectRatioXs":264,"asset":1525,"title":699},"Regionalization vs. Localization - Ramona Eimler of Experience One",{"_ref":1511,"_type":225},"A global brand presence does not have the same impact in every market. Why regionalization is more than just localization, what role headquarters plays, and how companies take a strategic approach.",1792747341527]