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Other systems prioritize transparency but require more in-depth technical knowledge.\nIn the end, we need both: intuitive usability and reliable traceability. The key lies in strategically selecting and combining tools that are well-suited to each specific use case within the company—like how we use GitHub Copilot at Mercedes-Benz. We’re seeing the emergence of new toolchains, much like in traditional software engineering—but this time powered by agents and AI technologies.",[],{"_key":945,"_type":164,"children":946,"markDefs":950,"style":172},"b9dedd7012de",[947],{"_key":948,"_type":168,"marks":949,"text":801},"fb36a2c25400",[],[],{"_key":952,"_type":953,"caption":954,"sanityImage":955,"text":958},"9a5fb7211ebd","newsQuote","Dionysios Satikidis, Head of Developer Platforms Mercedes-Benz",{"_type":220,"alt":888,"aspectRatioXs":247,"asset":956,"title":888},{"_ref":957,"_type":225},"image-a531e9e804992fde2575fd2bd84bc600c88d23fc-1207x1503-jpg","We need flagship projects that spark enthusiasm and inspire others.",{"_key":960,"_type":164,"children":961,"markDefs":965,"style":172},"e613a073760a",[962],{"_key":963,"_type":168,"marks":964,"text":801},"456db869f919",[],[],{"_key":967,"_type":164,"children":968,"markDefs":973,"style":172},"a954cfe1ab9c",[969],{"_key":970,"_type":168,"marks":971,"text":972},"df61c87b143d",[736],"What role does openness toward external tools and systems play—and when is an in-house solution the better choice?",[],{"_key":975,"_type":164,"children":976,"markDefs":981,"style":172},"50c40743dfd8",[977],{"_key":978,"_type":168,"marks":979,"text":980},"823b7d278f10",[],"Openness plays a key role, especially for developers and the overall development experience. 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Let us work together to harness the potential of Agentic AI for your business.",[1047],{"_key":1048,"_ref":1049,"_type":225},"850cea6d3c61","8ee90207-6d1b-4f56-a27c-eca2cc663105",false,{"description":1052,"image":1053,"title":1057,"type":1058},"Dionysios Satikidis of Mercedes-Benz on AI acceptance, bold lighthouse projects, and why cultural change sometimes matters more than methodology.",{"_type":1054,"asset":1055},"image",{"_ref":1056,"_type":225},"image-cb6dc4ee146256ee4e82c7a9681247481717e437-3012x2250-png","AI acceptance instead of perfection: Interview with D. 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The solution: A large language model classifies user inquiries and forwards them to the appropriate agent within the context of the conversation—while adhering to the guardrails required by a regulated sector such as health insurance.",[],{"_key":1117,"_type":953,"caption":1118,"sanityImage":1119,"text":1123},"0a6690fe8618","Apolline Tabourot-Emig, Chatbot Product Owner, BARMER",{"_type":220,"alt":1120,"aspectRatioXs":247,"asset":1121,"title":1120},"Apolline Tabourot-Emig, BARMER",{"_ref":1122,"_type":225},"image-bb112ce6908657de1419c3a41a13f17b7ce3f052-1278x852-webp","It became clear early on: A chatbot designed to provide genuine advice needs access to the entire knowledge base. A traditional, intent-based approach wasn't effective here. 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