企业级AI管理平台：知识利用率提升60%，开发周期压缩50%

Core Insights - A leading manufacturing enterprise is facing three core challenges in implementing AI technology [1] - Daily Interaction leverages 20 years of data intelligence service experience to build an "Enterprise-level AI Management Platform" [1] - The platform features a three-layer architecture: "Knowledge Hub + Permission Engine + Open Interface" to facilitate secure and efficient internal knowledge flow, flexible integration of external AI capabilities, and intelligent upgrades of business systems [1] Challenges - Knowledge integration and security bottlenecks exist due to the dispersion of internal knowledge across multiple systems, lacking a unified management platform for secure sharing and efficient access [1] - Insufficient openness of AI capabilities as existing systems cannot flexibly integrate AI Q&A capabilities, making it difficult for external business systems (like ERP/SRM) to access the knowledge base and RAG services [1] - High barriers to intelligent upgrades with traditional business system transformation cycles being long and lacking agile AI agent development and deployment solutions [1] Solutions - AI knowledge platform enables knowledge collection, permission management, and multi-format file recognition (documents/tables/images), enhancing Q&A accuracy through semantic enhancement technology [1] - Open capability integration supports intelligent agent registration management based on the Dify framework, providing open RAG interfaces for external system access while ensuring permission security [1] - Intelligent upgrade solutions for business systems like ERP/SRM/PES simplify development processes and lower technical barriers [1] Outcomes - Internal knowledge utilization increased by 60%, and employee Q&A response time reduced to seconds [1] - Open API supports integration of AI capabilities with over five business systems, compressing development cycles by 50% [1] - Prototyping of AI agents for ERP systems completed in the research phase, facilitating the enterprise's transition from equipment supplier to AI-driven solution provider [1]