Treasury Management System (FIN)FIN 資金管理系統協助企業即時掌控現金流命脈，提供資金預測、現金流量表、借款與定期存款、銀行額度控管、資金調撥及外匯管理等核心功能，將分散的資金資訊集中管理與呈現。透過一致且可追溯的數據架構，提升資金控管透明度，協助管理者全面掌握資金配置與運用狀況，作為企業資金決策的重要依據。
Integrate documents and data to build an enterprise intelligence hub
AI KM structures and consolidates enterprise documents, data, and workflows to form a manageable and reusable knowledge model. By leveraging RAG (Retrieval-Augmented Generation) and semantic analytics, it delivers precise answers and insights—becoming the core intelligence engine for organizational digital transformation.
Information spread across multiple locations makes it difficult to maintain efficiency and qualityKnowledge Scattered — Answers Are Hard to Find
Documents scattered across NAS / OneDrive, difficult to manage centrally
High onboarding costs for new employees; know-how fails to accumulate
Reliance on experience-based answers leads to inconsistency
Time-consuming information searches reduce productivity
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Systems can only search — they cannot understand or reasonNo Manageable Enterprise Intelligence
Traditional search relies on keywords and lacks semantic understanding
Documents cannot interpret context or decision logic
Unable to infer relationships or supplement dependencies
Difficult to support complex decision-making and review scenarios
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Know-how breaks down, preventing the accumulation of organizational intelligenceKnowledge Cannot Be Continuously Updated or Versioned
Document updates fail to synchronize with knowledge in real time
Employee turnover leads to loss of know-how
Policy and regulation changes lack proper version tracking
Unable to build a sustainable and evolving intelligence core
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Different people give different answers, creating high risk and poor governanceInconsistent Answers Across Business Processes
Individuals interpret processes differently, resulting in inconsistent responses
Review and approval answers lack standardization
Tacit knowledge increases the risk of errors
Difficult to establish cross-departmental consistency and transparency
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AI-Driven Proactive Action to Improve Decision Efficiency
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Module
Key Features
Immediate Benefits
Knowledge Integration Model
Integrates documents, workflows, and data to form a semantic knowledge base
Enterprise knowledge in one place; no more cross-system fragmentation
Semantic Search
Context-aware semantic search that understands intent—not just keywords
Find answers in 1 second; search time reduced by 70%
RAG Intelligent Reasoning
Traceable reasoning and Q&A based on enterprise-specific data
More accurate answers with explainability and evidence
Automated Knowledge Updates
Automatically updates knowledge models with document changes and policy revisions
Continuous know-how; knowledge always up to date
AI Agent Decision Support
Automatically understands context, reasons, and generates next-step action recommendations
Evolves from “AI answers” to “AI takes action”
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Business Benefits
“Immediate, Visible Results”
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Document search time reduced
%
Improved consistency in cross-department responses and reviews
%
Reduced error rate in policy and regulation interpretation
%
New employee training time reduced
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AI KM starts with your existing enterprise data—integrating documents and data lake workflows, building high-dimensional semantic models, and connecting system APIs to bring AI into real business processes.Implementation Approach · Applicable to Companies of All Sizes
Synchronize data from NAS, OneDrive, and OneLake
Document vectorization and semantic model training
Establish reasoning rules and enterprise knowledge graphs
Connect APIs to embed AI into business scenarios
▶︎ High flexibility in deployment — no need to rebuild systems. An intelligent core capable of reasoning and continuous evolution can be formed immediately.
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CONCLUSION
Upgrading is not just about technology — it is about reinventing competitiveness
