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。
Build AI innovation and intelligent process assistance
Help enterprise partners adopt SAP AI and develop generative and embedded AI applications purpose-built for business processes. By combining SAP business data, semantic models, and a secure governance framework—and leveraging SAP AI Core, AI Launchpad, Generative AI Hub, and Joule—we enable enterprises to deploy AI quickly, enhance process automation and decision insights, and accelerate analysis and planning with natural language in SAP Analytics Cloud.
Reduce manual operations and error risksImprove Process Efficiency
Automate daily tasks to reduce manual work
Reduce data entry and reconciliation error rates
Accelerate document, report, and form processing
Improve cross-system process collaboration efficiency
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Enable employees to access information and insights faster with generative AI
Query business data in natural language
Automatically generate explanations, summaries, and recommendations
Quickly build planning scenarios and models
Support real-time decision assistance across roles
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Ensure enterprise AI usage is compliant and trustworthySecurity and Governance Enhancement
Isolate sensitive data and control access permissions
Monitor and audit the full model lifecycle
Constrain AI responses with business semantics
Comply with enterprise-grade security standards
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Deep integration with SAP data
Accelerate AI project execution
Avoid risks of data leakage or data movement
Shorten AI project implementation timelines
Support cross-module process optimisation
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AI-driven intelligence, faster and more accurate processes
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Module
Key Features
Immediate Benefits
SAP AI Core
Provide enterprise-grade capabilities for model training, inference, and scheduling, with deep integration into SAP system data so models can operate directly within business processes. With automated deployment and governance, enterprises can bring in-house AI applications into production faster while reducing IT operations and maintenance costs.
AI projects no longer remain at the proof-of-concept stage, but truly integrate into daily workflows, delivering measurable efficiency gains and improved decision-making.
AI Launchpad
Serve as a model lifecycle management platform to centrally control deployment versions, performance monitoring, and access governance, ensuring long-term stable operation of AI models within the enterprise. With consistent and transparent management, enterprises can reduce the risk of models being scattered across different places, strengthen auditability, and make multi-team co-development and operations easier.
AI becomes a sustainably scalable capability rather than a one-off project.
SAP Generative AI Hub
Centrally provide a range of enterprise-ready generative AI models, combined with SAP data semantic models so generated content aligns more closely with real business logic. Enterprises can quickly adopt suitable generative AI capabilities without having to collect massive datasets or train models themselves.
Significantly shorten AI implementation timelines and development costs, while ensuring outputs are more trustworthy and better aligned with enterprise processes and compliance requirements.
SAP Joule
An enterprise-built intelligent conversational assistant that can access data across SAP modules, interpret semantics, and provide process recommendations or execute tasks directly. Users can complete queries, analysis, and operations through natural language, significantly lowering the barrier to using SAP systems.
Enable employees to access needed information faster, reduce clicking and operational time, and improve day-to-day efficiency and process execution accuracy.
SAP Just Ask
Enable users to query reports and data directly in natural language. The system automatically generates visual charts, data summaries, and insights, and even provides planning and simulation recommendations. This allows non-technical users to complete analysis independently and reduces the time spent finding data and producing reports.
Strengthen the organisation’s self-service analytics capability and accelerate management decision-making, making a data-driven culture easier to implement.
AI Agents
Automatically execute cross-system, multi-step enterprise processes—such as procurement settlement, work order handling, or customer service responses—and combine AI judgement to make optimal decisions within the process. It can trigger SAP system actions in practice, extending from insights to automated execution, and greatly reducing manual operations.
As a result, enterprises achieve higher process consistency, speed, and accuracy—realising true end-to-end automation.
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CONCLUSION
Not just automation, but intelligence that understands your business