Document Processing · Enterprise Knowledge Search
Flender China needed to interpret engineering standards, drawings, spreadsheets, and other technical documentation accurately in a highly regulated environment, but knowledge was fragmented across formats and repositories, making retrieval, contextual analysis, reuse, and cross-functional collaboration slow and costly. The company also needed an AI approach that preserved data sovereignty, intellectual property protection, and compliance in an on-premises deployment.
Reported impact
The on-premises AI assistant accelerated engineering document interpretation and knowledge discovery, increased engineering design processing capacity, reduced manual effort, and improved standardized collaboration and knowledge access across teams while maintaining data sovereignty and IP protection.
Atos China built a sovereign agentic AI engineering assistant for Flender China and deployed it fully on premises so sensitive engineering data stays داخل the customer environment. The implementation combines retrieval-augmented generation (RAG), multimodal AI, semantic search, and dynamic reasoning to turn dispersed engineering standards, design documents, engineering drawings, spreadsheets, and technical knowledge into an intelligent engineering knowledge network. That knowledge is consolidated into a unified searchable repository aligned to Flender's design-to-order model. Engineers query the repository in natural language and receive contextual answers and document interpretation grounded in the indexed technical content. The system is tailored to Flender's terminology and design context, supports role-based access controls and end-to-end governance, and is positioned as a scalable foundation for broader multi-agent engineering workflows and enterprise AI adoption.
Engineering standards, design documents, drawings, spreadsheets, and other technical knowledge are consolidated into a unified searchable repository inside Flender's on-premises environment. RAG, multimodal AI, semantic search, and dynamic reasoning interpret this content and return contextual answers and document insights to engineers, accelerating knowledge retrieval, design interpretation, and cross-team reuse.
"30-50% faster knowledge discovery and document retrieval"
"A sixfold increase in engineering design processing capacity"
"An 83% reduction in design standard document and engineering drawing interpretation time, from approximately 30 minutes to 5 minutes"
"Annual savings of approximately 2,000 engineering hours"
"Atos China delivered a sovereign agentic AI solution combining retrieval-augmented generation (RAG), multimodal AI, and manufacturing domain expertise."
"Deployed in Flender's secure on-premises environment, it enables intelligent interpretation and retrieval of engineering knowledge while ensuring data sovereignty, intellectual property protection"
"built by consolidating engineering standards, design documents, drawings, and technical knowledge into a unified, searchable repository"
"enabled through semantic search, dynamic reasoning, and multimodal understanding, providing engineers with relevant answers and faster access to critical information."
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