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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":856,"_type":172,"children":857,"markDefs":862,"style":180},"3b43a28d5f3b",[858],{"_key":859,"_type":176,"marks":860,"text":861},"2141c7ac4a84",[743],"Not every phase needs to be automated",[],{"_key":864,"_type":172,"children":865,"markDefs":870,"style":180},"631a0c0a935b",[866],{"_key":867,"_type":176,"marks":868,"text":869},"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":872,"_type":172,"children":873,"markDefs":878,"style":180},"a0448d812df6",[874],{"_key":875,"_type":176,"marks":876,"text":877},"48fb1736bccc",[743],"Inspire, Create, Scale: Where AI Adds Value in the Content Lifecycle",[],{"_key":880,"_type":172,"children":881,"markDefs":886,"style":180},"c6aeb1812ce9",[882],{"_key":883,"_type":176,"marks":884,"text":885},"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":888,"_type":172,"children":889,"markDefs":898,"style":180},"636ab32e5466",[890,894],{"_key":891,"_type":176,"marks":892,"text":893},"a29176342f44",[743],"Inspire ",{"_key":895,"_type":176,"marks":896,"text":897},"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":900,"_type":172,"children":901,"markDefs":910,"style":180},"88b27fb24978",[902,906],{"_key":903,"_type":176,"marks":904,"text":905},"e48518c3cf81",[743],"Create ",{"_key":907,"_type":176,"marks":908,"text":909},"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":912,"_type":172,"children":913,"markDefs":922,"style":180},"68a6d16a0580",[914,918],{"_key":915,"_type":176,"marks":916,"text":917},"59b7d3a37282",[743],"Scale",{"_key":919,"_type":176,"marks":920,"text":921},"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":924,"_type":172,"children":925,"markDefs":930,"style":180},"2c627695725e",[926],{"_key":927,"_type":176,"marks":928,"text":929},"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":932,"_type":172,"children":933,"markDefs":938,"style":180},"0a2b45c070c6",[934],{"_key":935,"_type":176,"marks":936,"text":937},"8c716ab27d0c",[743],"Real-World Examples: Landing Page Creation and Content Migration",[],{"_key":940,"_type":172,"children":941,"markDefs":946,"style":180},"1582a471e28a",[942],{"_key":943,"_type":176,"marks":944,"text":945},"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":948,"_type":172,"children":949,"markDefs":954,"style":180},"8c8718e9b55f",[950],{"_key":951,"_type":176,"marks":952,"text":953},"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":956,"_type":172,"children":957,"markDefs":962,"style":180},"a5738a2a9c35",[958],{"_key":959,"_type":176,"marks":960,"text":961},"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":964,"_type":172,"children":965,"markDefs":970,"style":180},"f2b3aba8d4ed",[966],{"_key":967,"_type":176,"marks":968,"text":969},"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":972,"_type":172,"children":973,"markDefs":978,"style":180},"1b328fbcae2f",[974],{"_key":975,"_type":176,"marks":976,"text":977},"319c543df8ef",[743],"Conclusion: Five steps, one complete picture",[],{"_key":980,"_type":172,"children":981,"markDefs":986,"style":180},"fa98c4fa875d",[982],{"_key":983,"_type":176,"marks":984,"text":985},"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":988,"_type":172,"children":989,"markDefs":994,"style":180},"23248c2a741a",[990],{"_key":991,"_type":176,"marks":992,"text":993},"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":996,"_type":997,"href":998,"label":999,"reference":74},"6c771926fbb1","cta","mailto: business@experienceone.com","Talk to us",{"contactPerson":1001},{"_type":1002,"copyContent":1003,"person":1004,"title":1030},"contactPerson","position",{"_createdAt":1005,"_id":1006,"_rev":1007,"_type":1008,"_updatedAt":1009,"department":1010,"email":1015,"linkedin":424,"name":426,"position":1016,"sanityImage":1019,"tenant":39},"2024-07-10T14:25:55Z","8679b80e-04ba-46b8-b3ae-150239fd297b","702LxbKIg2HpFbWOvCM5os","person","2025-05-15T06:10:24Z",[1011,1014],{"_key":699,"_type":1012,"value":1013},"internationalizedArrayStringValue","Platform Program Management",{"_key":13,"_type":1012,"value":1013},"business@experienceone.com",[1017,1018],{"_key":699,"_type":1012,"value":423},{"_key":13,"_type":1012,"value":423},{"_type":228,"alt":426,"aspectRatioSm":255,"aspectRatioXs":255,"asset":1020,"crop":1021,"hotspot":1025},{"_ref":428,"_type":233},{"_type":276,"bottom":1022,"left":1023,"right":1024,"top":278},0.4549427780100336,0.16675376254180613,0.15915029264214042,{"_type":281,"height":1026,"width":1027,"x":1028,"y":1029},0.5450572219899664,0.6569685409698995,0.4952380330267559,0.2725286109949832,"Author",{"_key":1032,"_type":1033,"contactPerson":74,"content":74,"headline":1034,"imageSliderPersons":74,"items":1035,"persons":74,"reference":74,"sidebar":74},"98282d2a3154","teaserGroup","You might also be interested in",[1036,1366],{"_createdAt":1037,"_id":1038,"_key":1039,"_ref":1038,"_rev":1040,"_system":1041,"_type":709,"_updatedAt":1044,"category":1045,"content":1047,"language":13,"newsCategories":1335,"pinned":1339,"reference":74,"seo":1340,"slug":1357,"teaser":1359,"tenant":39,"title":1050},"2025-08-12T09:11:17Z","e2acbd5b-8559-457b-87f8-13525181a5e0","7ffb381852be","D4Zz2P1RB91cY4l9i3CXXE",{"base":1042},{"id":1038,"rev":1043},"VEmbGNMSoh7BsjRnCz3Dbm","2025-10-14T13:45:49Z",{"slug":1046},{"_type":434,"current":25},[1048,1052,1058,1307],{"_key":1049,"_type":716,"headline":1050,"publishedDate":1051},"dfdb110c7b6e","Content automation in B2B: How AI makes complex content processes scalable","2025-10-02",{"_key":1053,"_type":720,"sanityImage":1054},"152135bbb8ec",{"_type":228,"alt":1055,"aspectRatioSm":722,"aspectRatioXs":272,"asset":1056},"an illustration of a computer screen with a arrow pointing to a button",{"_ref":1057,"_type":233},"image-0c5b86533f28ba6af84efdbbbb518d0e75652df2-5400x2250-png",{"_key":1059,"_type":727,"content":1060,"sidebar":1302},"1c8c2efd8f37",[1061,1069,1077,1085,1093,1101,1109,1118,1126,1134,1142,1150,1158,1166,1174,1182,1195,1207,1219,1231,1243,1251,1259,1267,1275],{"_key":1062,"_type":172,"children":1063,"markDefs":1068,"style":180},"b9f6dddaf8ef",[1064],{"_key":1065,"_type":176,"marks":1066,"text":1067},"dbcebec889e6",[],"In global B2B companies, marketing teams face an enormous challenge: How can content be brought to diverse markets efficiently and consistently – while at the same time meeting increasing demands for personalisation, speed and compliance? The answer lies in a centralised, AI-supported content flow that combines efficiency, control and relevance. But what does it take for content automation to really work? And how can complex organisational structures be taken into account?",[],{"_key":1070,"_type":172,"children":1071,"markDefs":1076,"style":180},"a675b30febca",[1072],{"_key":1073,"_type":176,"marks":1074,"text":1075},"c2521c7ed250",[743],"Fragmented processes, high costs",[],{"_key":1078,"_type":172,"children":1079,"markDefs":1084,"style":180},"0c9dd8a2403e",[1080],{"_key":1081,"_type":176,"marks":1082,"text":1083},"29129610b5e7",[],"In international companies, content production is often organised in a decentralised manner. While brand management and central campaign strategy are based at headquarters, implementation takes place in the national subsidiaries – with their own tools, workflows and interpretations. The result: non-transparent processes, inconsistent brand messages and high manual effort.",[],{"_key":1086,"_type":172,"children":1087,"markDefs":1092,"style":180},"5ba9daf478d9",[1088],{"_key":1089,"_type":176,"marks":1090,"text":1091},"e0bd4618ce0c",[],"The problem is particularly acute in regulated industries such as medical technology: different target groups (doctors, administrators, technicians) require highly specific content that is legally compliant yet individually relevant.",[],{"_key":1094,"_type":172,"children":1095,"markDefs":1100,"style":180},"cb2dfc22c1df",[1096],{"_key":1097,"_type":176,"marks":1098,"text":1099},"65c667ed84dc",[743],"A centralised, AI-powered content flow",[],{"_key":1102,"_type":172,"children":1103,"markDefs":1108,"style":180},"c39f371996f2",[1104],{"_key":1105,"_type":176,"marks":1106,"text":1107},"19e1bd1c42b5",[],"The key to scalability lies in automating content processes without compromising quality and precision. Successful approaches combine three elements:",[],{"_key":1110,"_type":172,"children":1111,"level":311,"listItem":1116,"markDefs":1117,"style":180},"87cad489ab71",[1112],{"_key":1113,"_type":176,"marks":1114,"text":1115},"ae6b548a72f2",[],"Centralised control and standards","number",[],{"_key":1119,"_type":172,"children":1120,"level":311,"listItem":1116,"markDefs":1125,"style":180},"6b842fc558d0",[1121],{"_key":1122,"_type":176,"marks":1123,"text":1124},"45191076882b",[],"Standardised briefing documents",[],{"_key":1127,"_type":172,"children":1128,"level":311,"listItem":1116,"markDefs":1133,"style":180},"f72803e435f3",[1129],{"_key":1130,"_type":176,"marks":1131,"text":1132},"5028f460d19a",[],"Structured workflows and clear approval processes",[],{"_key":1135,"_type":172,"children":1136,"markDefs":1141,"style":180},"92aaf8b98b74",[1137],{"_key":1138,"_type":176,"marks":1139,"text":1140},"415874815f97",[],"They form the basis for consistent content creation across national borders.",[],{"_key":1143,"_type":172,"children":1144,"markDefs":1149,"style":180},"f61c2ef1d22f",[1145],{"_key":1146,"_type":176,"marks":1147,"text":1148},"ad0ab76cebf2",[743],"Generative AI in content production: personalisation through data integration",[],{"_key":1151,"_type":172,"children":1152,"markDefs":1157,"style":180},"3a97f0c18d0d",[1153],{"_key":1154,"_type":176,"marks":1155,"text":1156},"8436676aa8f0",[],"Large language models (LLMs) take over the automated creation of texts based on structured prompts. Quality assurance is ideally carried out by a second validation LLM to ensure stylistic, content-related and regulatory requirements are met.",[],{"_key":1159,"_type":172,"children":1160,"markDefs":1165,"style":180},"8f54c68bd4eb",[1161],{"_key":1162,"_type":176,"marks":1163,"text":1164},"7031f4de5c5f",[],"A customer data platform (CDP) can be used to integrate role profiles, interests and user behaviour. This not only ensures that content is produced efficiently, but also that it is highly personalised.",[],{"_key":1167,"_type":172,"children":1168,"markDefs":1173,"style":180},"f2d23f90c74b",[1169],{"_key":1170,"_type":176,"marks":1171,"text":1172},"f93a5c8c89d1",[743],"Success factors for scalable content automation",[],{"_key":1175,"_type":172,"children":1176,"markDefs":1181,"style":180},"3e74509c9de8",[1177],{"_key":1178,"_type":176,"marks":1179,"text":1180},"f1d36c2bbd25",[],"For AI-supported content processes to function in complex B2B structures, more than just technology is required. The following success factors are crucial:",[],{"_key":1183,"_type":172,"children":1184,"level":311,"listItem":1193,"markDefs":1194,"style":180},"adc06c0aaa12",[1185,1189],{"_key":1186,"_type":176,"marks":1187,"text":1188},"f505124e8f0a",[743],"Clear process architecture: ",{"_key":1190,"_type":176,"marks":1191,"text":1192},"86dbe1e93712",[],"Automation requires standardised processes – from briefing to approval. Fragmented workflows are the biggest efficiency killer.","bullet",[],{"_key":1196,"_type":172,"children":1197,"level":311,"listItem":1193,"markDefs":1206,"style":180},"1e71190d7844",[1198,1202],{"_key":1199,"_type":176,"marks":1200,"text":1201},"ed8d3df2d7e5",[743],"Clean and usable database: ",{"_key":1203,"_type":176,"marks":1204,"text":1205},"be6c31c4de66",[],"Personalisation is only possible if relevant customer data is structured and up to date. CDPs play a central role here.",[],{"_key":1208,"_type":172,"children":1209,"level":311,"listItem":1193,"markDefs":1218,"style":180},"627e442f58ac",[1210,1214],{"_key":1211,"_type":176,"marks":1212,"text":1213},"72f1d3949cbc",[743],"Controlled decentralisation: ",{"_key":1215,"_type":176,"marks":1216,"text":1217},"e3aecedf1877",[],"National organisations remain responsible for broadcasting, but work on the basis of centralised, AI-generated content. This ensures flexibility without losing control.",[],{"_key":1220,"_type":172,"children":1221,"level":311,"listItem":1193,"markDefs":1230,"style":180},"32c08651d850",[1222,1226],{"_key":1223,"_type":176,"marks":1224,"text":1225},"b6bcba361d80",[743],"Regulatory security through centralised quality assurance:",{"_key":1227,"_type":176,"marks":1228,"text":1229},"51855c841fb6",[]," Especially when it comes to sensitive content (e.g. in medical technology), automation must not compromise compliance. This is where centralised, AI-supported content validation comes in handy.",[],{"_key":1232,"_type":172,"children":1233,"level":311,"listItem":1193,"markDefs":1242,"style":180},"64c04c635e8e",[1234,1238],{"_key":1235,"_type":176,"marks":1236,"text":1237},"944595062c99",[743],"Reinvest efficiency gains in a targeted manner: ",{"_key":1239,"_type":176,"marks":1240,"text":1241},"3fe55e83d7de",[],"Automation saves resources – these should be invested specifically in better personalisation and customer experience.",[],{"_key":1244,"_type":172,"children":1245,"markDefs":1250,"style":180},"47b67b5ad3d1",[1246],{"_key":1247,"_type":176,"marks":1248,"text":1249},"7edfab9ff984",[743],"Best practice: ZEISS as a pioneer in content automation",[],{"_key":1252,"_type":172,"children":1253,"markDefs":1258,"style":180},"89c34350c6d6",[1254],{"_key":1255,"_type":176,"marks":1256,"text":1257},"b33571838603",[],"One company that has successfully implemented this approach is ZEISS. As part of an AI initiative, an automated content flow was established there that works via a prompt generator system, LLMs for text creation and validation, and a CDP for personalisation. The result: 78% cost savings per campaign while increasing consistency and target group relevance. ZEISS thus demonstrates how content processes can be scaled efficiently in regulated B2B environments – without compromising quality.",[],{"_key":1260,"_type":172,"children":1261,"markDefs":1266,"style":180},"d9bd60751db4",[1262],{"_key":1263,"_type":176,"marks":1264,"text":1265},"7916a9d6c3e9",[743],"Conclusion: AI scales content – but only with process discipline",[],{"_key":1268,"_type":172,"children":1269,"markDefs":1274,"style":180},"33ff7e1b87b9",[1270],{"_key":1271,"_type":176,"marks":1272,"text":1273},"2cf76c7fc79f",[],"AI alone cannot solve content challenges. Only the combination of centralised control, clean databases and the targeted use of generative AI makes content automation scalable in global B2B organisations. Those who strategically leverage efficiency gains can not only save costs, but also sustainably improve the customer experience in an increasingly demanding market environment.",[],{"_key":1276,"_type":172,"children":1277,"markDefs":1299,"style":180},"b557642161cb",[1278,1282,1287,1291,1295],{"_key":1279,"_type":176,"marks":1280,"text":1281},"22b6be5fc447",[],"In the whitepaper ",{"_key":1283,"_type":176,"marks":1284,"text":1286},"fc7cf5dc308a",[1285],"62d5624fa99c","\"Road to Agentic AI\"",{"_key":1288,"_type":176,"marks":1289,"text":1290},"9f3bdd18534b",[]," ",{"_key":1292,"_type":176,"marks":1293,"text":1294},"44ea63b9fb2d",[743],"Dr. Jochen Tham",{"_key":1296,"_type":176,"marks":1297,"text":1298},"cf5bca9c4546",[],", Head of Digital Customer Experience at ZEISS, shares further insights into strategy, challenges and lessons learned regarding the use of AI in global content processes.",[1300],{"_key":1285,"_type":54,"href":1301},"https:\u002F\u002Fwww.experienceone.com\u002Fen\u002Fthemes\u002Fwhitepaper-road-to-agentic-ai",{"contactPerson":1303},{"_type":1002,"copyContent":1304,"person":1305,"title":1030},"department",{"_ref":1306,"_type":233},"6b9467e8-975d-4c52-bf12-17e55364c113",{"_key":1308,"_type":1033,"headline":1034,"items":1309},"76d8499214ce",[1310,1323],{"_key":1311,"_type":1312,"headline":1313,"overline":72,"reference":1314,"sanityImage":1316,"text":1322},"5388b7311998","teaserGroupItem","Shaping digital transformation – with Agentic AI",{"_ref":1315,"_type":233},"d75a47d1-bd04-4f89-850d-2e3646ffeb0d",{"_type":228,"alt":1317,"aspectRatioSm":1318,"aspectRatioXs":255,"asset":1319,"title":1321},"Whitepaper „Der Weg zur agentenbasierten KI“ von Experience One","8x9",{"_ref":1320,"_type":233},"image-3f1148127b21c34d6b617423f46b35d7edde67b9-1620x1824-png","Whitepaper by Experience One","Our new whitepaper, \"Road to Agentic AI,\" shows how companies are mastering the transition from AI tools to autonomous agents.",{"_key":1324,"_type":1312,"headline":1325,"overline":1326,"reference":1327,"sanityImage":1329,"text":1334},"5b0c1bb6aee8","Become an innovation leader","Leading through AI",{"_ref":1328,"_type":233},"dc204d1d-793b-49f0-8e25-213dca12e8d0",{"_type":228,"alt":1330,"aspectRatioSm":1318,"aspectRatioXs":255,"asset":1331,"title":1333},"Experience One supports successful transformation with Agentic AI",{"_ref":1332,"_type":233},"image-bae8e2ae9e6657e23b189f4ce14fdb1aa2dff9d2-1620x1824-jpg","Innovation leader with Agentic AI","We are your partner for the systematic development and successful implementation of your AI strategy. Let us work together to harness the potential of Agentic AI for your business.",[1336],{"_key":1337,"_ref":1338,"_type":233},"063defa4deab","8ee90207-6d1b-4f56-a27c-eca2cc663105",false,{"description":1341,"image":1342,"keywords":1346,"title":1355,"type":1356},"ZEISS demonstrates how GenAI makes content processes more efficient, consistent and personalised worldwide – with 78% cost savings per campaign.",{"_type":1343,"asset":1344},"image",{"_ref":1345,"_type":233},"image-31c3e1cb125f9afc11a207293bcd8e54bb98d0f9-3012x2250-png",[1347,1348,1349,1350,1351,1352,1353,1354],"GenAI","Generative AI","Agentic AI","Customer Experience","Customer Engagement","Marketing Automation","MedTech","ZEISS","Global, automated content process with GenAI","article",{"_type":434,"current":1358},"ai-content-automation",{"_type":1360,"categories":1361,"headline":1050,"publishedDate":1051,"sanityImage":1362,"text":1365},"newsArticleTeaser",[26],{"_type":228,"alt":1363,"aspectRatioXs":272,"asset":1364},"a line drawing of a computer screen with a button on it",{"_ref":1345,"_type":233},"How can a centrally controlled, AI-supported content flow create cross-border efficiency – despite high complexity and regulation? Read the blog article now.",{"_createdAt":1367,"_id":1368,"_key":1369,"_ref":1368,"_rev":1370,"_system":1371,"_type":709,"_updatedAt":1374,"category":1375,"content":1377,"language":13,"newsCategories":1658,"pinned":1339,"reference":74,"seo":1662,"slug":1673,"teaser":1675,"tenant":39,"title":1380},"2026-04-29T07:10:31Z","f90376b5-b386-4914-84a6-81379958b4bb","d4f706e80461","U5RA6UHz0Twgh6k2CO4yhF",{"base":1372},{"id":1368,"rev":1373},"hW5DV1JXtq90EFbs5eU7zI","2026-08-04T06:05:04Z",{"slug":1376},{"_type":434,"current":25},[1378,1382,1388,1649],{"_key":1379,"_type":716,"headline":1380,"publishedDate":1381},"b44eb454d02a","EO Day 2026: Owning the Vibe","2026-06-18",{"_key":1383,"_type":720,"sanityImage":1384},"d3da8262dfae",{"_type":228,"aspectRatioSm":722,"aspectRatioXs":272,"asset":1385,"title":1387},{"_ref":1386,"_type":233},"image-33da6fd9a6a261a3d16d8d1adc279a5e126483de-5703x3802-jpg","EO Day 2026",{"_key":1389,"_type":727,"content":1390,"sidebar":1645},"95e3b1d5dc8c",[1391,1399,1407,1419,1427,1439,1451,1463,1475,1483,1494,1502,1510,1522,1534,1546,1554,1586,1594,1602,1617,1625,1641],{"_key":1392,"_type":172,"children":1393,"markDefs":1398,"style":180},"56233b5b013e",[1394],{"_key":1395,"_type":176,"marks":1396,"text":1397},"bb1090faec03",[],"With “Owning the Vibe,” Experience One set the agenda at EO Day 2026 that is shaping this year’s AI debate. Over 100 decision-makers, practitioners, and thought leaders gathered in Stuttgart to discuss what it takes to turn the “vibe” into real business value.",[],{"_key":1400,"_type":172,"children":1401,"markDefs":1406,"style":180},"55bb6c0243e3",[1402],{"_key":1403,"_type":176,"marks":1404,"text":1405},"3202888ff52a",[],"Vibe coding and AI agents are transforming how we think about, develop, and use software. Companies are suddenly confronted with a flood of AI artifacts—without clear lines of responsibility or evaluation criteria. This makes people who step up to take responsibility and know how to further develop AI in a value-adding way a crucial factor for success.",[],{"_key":1408,"_type":172,"children":1409,"markDefs":1418,"style":180},"6d5b27eb7df5",[1410,1414],{"_key":1411,"_type":176,"marks":1412,"text":1413},"9d4c745b843d",[],"At EO Day, we therefore discussed the question: ",{"_key":1415,"_type":176,"marks":1416,"text":1417},"901ad43f8627",[743],"Who keeps track of everything when everyone is “vibing”?",[],{"_key":1420,"_type":172,"children":1421,"markDefs":1426,"style":180},"64bc1f95a476",[1422],{"_key":1423,"_type":176,"marks":1424,"text":1425},"1b079414d850",[],"The afternoon kicked off with four practice sessions: Companies from various industries provided candid insights into their ongoing AI projects—sharing concrete lessons learned, as well as what isn’t working yet.",[],{"_key":1428,"_type":172,"children":1429,"level":311,"listItem":1193,"markDefs":1438,"style":180},"1aefcf58cd41",[1430,1434],{"_key":1431,"_type":176,"marks":1432,"text":1433},"1da835e0095c",[743],"Engineering Agentic Chatbots – Why Intent-Based Architectures Fail and How Agentic AI Scales in the Enterprise",{"_key":1435,"_type":176,"marks":1436,"text":1437},"33bfd6ee5561",[]," (BARMER)",[],{"_key":1440,"_type":172,"children":1441,"level":311,"listItem":1193,"markDefs":1450,"style":180},"55c3d5659257",[1442,1446],{"_key":1443,"_type":176,"marks":1444,"text":1445},"62fd3f52b740",[743],"Digital UX – From Vision to Transformation",{"_key":1447,"_type":176,"marks":1448,"text":1449},"dbe4821cc7a3",[]," (Bosch eBike Systems)",[],{"_key":1452,"_type":172,"children":1453,"level":311,"listItem":1193,"markDefs":1462,"style":180},"df5c2dfa0ce0",[1454,1458],{"_key":1455,"_type":176,"marks":1456,"text":1457},"04cb4a3930d4",[743],"Scaling Sovereign AI in Banking: From AI Assistance to Agentic Systems",{"_key":1459,"_type":176,"marks":1460,"text":1461},"f72ee74b7da7",[]," (Finanz Informatik)",[],{"_key":1464,"_type":172,"children":1465,"level":311,"listItem":1193,"markDefs":1474,"style":180},"1acf2b2595a1",[1466,1470],{"_key":1467,"_type":176,"marks":1468,"text":1469},"e1bf93924f35",[743],"Between Strategy and PoC: A Case Study on the Development of an Agentic CX Framework",{"_key":1471,"_type":176,"marks":1472,"text":1473},"9640f5abfaf5",[]," (Siemens)",[],{"_key":1476,"_type":172,"children":1477,"markDefs":1482,"style":180},"26dfafec46fc",[1478],{"_key":1479,"_type":176,"marks":1480,"text":1481},"64cadff4df3d",[743],"The Hype Around the “Vibe”—and What Lies Behind It",[],{"_key":1484,"_type":172,"children":1485,"markDefs":1493,"style":180},"9fc832753360",[1486,1489],{"_key":1487,"_type":176,"marks":1488,"text":339},"6753e4a061d7",[743],{"_key":1490,"_type":176,"marks":1491,"text":1492},"52c61341b3b9",[],", CEO of Experience One, covered the full spectrum of topics in his keynote: What began as a collective sense of optimism—the “vibe”—has now become a tangible area of tension in the business world.",[],{"_key":1495,"_type":172,"children":1496,"markDefs":1501,"style":180},"ede32a80e145",[1497],{"_key":1498,"_type":176,"marks":1499,"text":1500},"da089deac94e",[],"He mapped this development against the 5-level model for AI experiences: Most companies today stand at the threshold between Levels 2 and 3—moving from reactive automation to intent-based, autonomously acting AI agents. Those who skip this step are building on sand.",[],{"_key":1503,"_type":172,"children":1504,"markDefs":1509,"style":180},"a60faf7b3f2d",[1505],{"_key":1506,"_type":176,"marks":1507,"text":1508},"25c5a5ca122a",[],"Three strategies that point the way:",[],{"_key":1511,"_type":172,"children":1512,"level":311,"listItem":1116,"markDefs":1521,"style":180},"595d0176c5c2",[1513,1517],{"_key":1514,"_type":176,"marks":1515,"text":1516},"092737479c0c",[743],"Narrow the playing field.",{"_key":1518,"_type":176,"marks":1519,"text":1520},"be447ee48c82",[]," Don’t take a scattergun approach to AI; instead, adopt a radical focus. New ideas don’t emerge in spite of limited constraints, but because of them. Those who start with a specific use case build a capability from it—one that can then be scaled company-wide.",[],{"_key":1523,"_type":172,"children":1524,"level":311,"listItem":1116,"markDefs":1533,"style":180},"c868779ed3cd",[1525,1529],{"_key":1526,"_type":176,"marks":1527,"text":1528},"787e66ea1ab2",[743],"Establish ground rules.",{"_key":1530,"_type":176,"marks":1531,"text":1532},"5b4c491a0c64",[]," Everyone wants to “vibe,” but without structure, things get out of hand. Innovation isn’t a creative fluke; it’s a structured process. The path from PoC to a scaled agent system requires clear processes.",[],{"_key":1535,"_type":172,"children":1536,"level":311,"listItem":1116,"markDefs":1545,"style":180},"38cb76691b3c",[1537,1541],{"_key":1538,"_type":176,"marks":1539,"text":1540},"22c991dde23d",[743],"Take ownership.",{"_key":1542,"_type":176,"marks":1543,"text":1544},"d16126a52681",[]," In Vibe Coding, expectations shift quickly: prototypes look like finished products, even though they aren’t. What companies need are people who take responsibility—with a clear goal, sound judgment, strong leadership, a willingness to collaborate, and a high tolerance for ambiguity.",[],{"_key":1547,"_type":172,"children":1548,"markDefs":1553,"style":180},"947c56c0b3ad",[1549],{"_key":1550,"_type":176,"marks":1551,"text":1552},"8ba368f5e80a",[743],"Ownership in the Panel: Who Takes Responsibility When Everyone Is “Vibing”?",[],{"_key":1555,"_type":172,"children":1556,"markDefs":1585,"style":180},"61a13cd4cdcb",[1557,1561,1565,1569,1573,1577,1581],{"_key":1558,"_type":176,"marks":1559,"text":1560},"682f017a46ef",[],"In the panel discussion, Kai Müller moderated a roundtable featuring three very different perspectives: ",{"_key":1562,"_type":176,"marks":1563,"text":1564},"86dda6f1b02c",[743],"Human Nagafi ",{"_key":1566,"_type":176,"marks":1567,"text":1568},"36ec91e72501",[],"(1789 Innovations), ",{"_key":1570,"_type":176,"marks":1571,"text":1572},"6baa760e1d20",[743],"Dionysios Satikidis",{"_key":1574,"_type":176,"marks":1575,"text":1576},"a2e69cd4ac98",[]," (Mercedes-Benz), and ",{"_key":1578,"_type":176,"marks":1579,"text":1580},"ce5a44cb16da",[743],"Prof. Dr. Lutz Göcke",{"_key":1582,"_type":176,"marks":1583,"text":1584},"94f2160ca641",[]," (Nordhausen University of Applied Sciences).",[],{"_key":1587,"_type":172,"children":1588,"markDefs":1593,"style":180},"9fdf600f085d",[1589],{"_key":1590,"_type":176,"marks":1591,"text":1592},"7a306384e9f7",[],"A common thread ran through the entire discussion: Experimenting early on protects against mistakes later on—but only if lessons are learned from them. Dionysios Satikidis summed it up: Those who start exploring early on understand in time what brings real added value—and can scale up later instead of having to make course corrections.",[],{"_key":1595,"_type":172,"children":1596,"markDefs":1601,"style":180},"cbabd434a175",[1597],{"_key":1598,"_type":176,"marks":1599,"text":1600},"c1f4957933c6",[],"The insights from the panel continued to resonate long into the networking session that followed.",[],{"_key":1603,"_type":172,"children":1604,"markDefs":1614,"style":180},"7aabbf5b818e",[1605,1609],{"_key":1606,"_type":176,"marks":1607,"text":1608},"631d9242603d",[],"For more insights into the day, visit our event page at ",{"_key":1610,"_type":176,"marks":1611,"text":1613},"d3c4d779a45a",[1612],"4804d4ae50f8","eoday.experienceone.com",[1615],{"_key":1612,"_type":54,"href":1616},"https:\u002F\u002Fwww.experienceone.com\u002Fen\u002Fthemes\u002Feo-day-2026",{"_key":1618,"_type":172,"children":1619,"markDefs":1624,"style":180},"a07e944f0e9d",[1620],{"_key":1621,"_type":176,"marks":1622,"text":1623},"ca7d78d564d4",[743],"Interested in joining us for the next EO Day?",[],{"_key":1626,"_type":172,"children":1627,"markDefs":1640,"style":180},"29e01f3d020e",[1628,1632,1636],{"_key":1629,"_type":176,"marks":1630,"text":1631},"7bef5db2cff3",[],"The next EO Day will take place on ",{"_key":1633,"_type":176,"marks":1634,"text":1635},"51ec1fff3bf8",[743],"June 3, 2027",{"_key":1637,"_type":176,"marks":1638,"text":1639},"93d1c9b60da4",[],", in Stuttgart. Register now and join us:",[],{"_key":1642,"_type":997,"href":1643,"label":1644},"14e331f395a4","https:\u002F\u002Fwww.eventbrite.de\u002Fe\u002F1992809971269?aff=oddtdtcreator","Register for EO Day 2027",{"contactPerson":1646},{"_type":1002,"copyContent":1304,"person":1647,"title":38},{"_ref":1648,"_type":233},"d097af1a-f387-49be-80d6-012773eb7d46",{"_key":1650,"_type":1033,"headline":1034,"items":1651},"a37258b4f3d8",[1652,1655],{"_key":1653,"_ref":1654,"_type":233},"b83e326abcb4","d1fa5bd5-9e58-42ed-a035-9d023ca2c5be",{"_key":1656,"_ref":1657,"_type":233},"ebb685e537ee","e399ac0f-14d2-44a2-ae01-a063b215c5d0",[1659],{"_key":1660,"_ref":1661,"_type":233},"aa8784754fe0","14fafadd-816f-480c-8131-30eaf048e85c",{"description":1663,"image":1664,"title":1672,"type":432},"Who can keep track of everything when everyone’s getting into the groove? At EO Day 2026 on June 18 in Stuttgart, practitioners will demonstrate how AI initiatives translate into real value creation.",{"_type":1343,"asset":1665,"crop":1667,"hotspot":1669},{"_ref":1666,"_type":233},"image-991b5411d64c682fc598a24b4312b1a3caf2d125-1920x800-png",{"_type":276,"bottom":278,"left":1668,"right":278,"top":278},0.503842673637396,{"_type":281,"height":311,"width":1670,"x":1671,"y":284},0.496157326362604,0.751921336818698,"EO Day 2026: Owning the Vibe – KI-Ownership in der Praxis",{"_type":434,"current":1674},"eo-day-2026-owning-the-vibe",{"_type":1360,"categories":1676,"headline":1380,"publishedDate":1381,"sanityImage":1678,"text":1680},[1677],"Events",{"_type":228,"alt":1387,"aspectRatioXs":272,"asset":1679,"title":1387},{"_ref":1386,"_type":233},"Under the theme “Owning the Vibe,” decision-makers, product owners, and designers of agent-based systems will gather in Stuttgart on June 18, 2026, to demonstrate how AI experiments can be turned into real value creation.",[1682],{"_key":1683,"_ref":1338,"_type":233},"b4df02e1d127",{"description":1685,"image":1686,"keywords":1689,"title":1699,"type":1356},"Why Successful Content Automation Starts with Understanding the Process—A Five-Step Approach Based on Experience One’s Real-World Practice.",{"_type":1343,"asset":1687},{"_ref":1688,"_type":233},"image-5ee0f40c8e9283a0fb46cf5c2b3e01a5b5a28b46-3012x2250-png",[1690,1691,1692,1693,1694,1695,1696,1697,1349,1698],"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":434,"current":707},{"_type":1360,"categories":1702,"headline":1703,"publishedDate":717,"sanityImage":1704,"text":1706},[26],"AI Content: It's the Process That Counts",{"_type":228,"aspectRatioXs":272,"asset":1705},{"_ref":1688,"_type":233},"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.",1786382967288]