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SSON:2025从自动化到AI驱动:应付账款(AP)自动化的未来研究报告(中译版)(25页).pdf

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1、Sponsored by:FROM AUTOMATED TO AI-DRIVENThe Future of AP AutomationAPRIL 2025From Automated to AI-Driven:The Future of AP Automation SSON 20252Demystifying AI in FinanceAI-Powered AP Use CasesIn Conversation with Daniel Ball,Chief Product Officer,MediusTop Tips for AI ImplementationAutomating Succes

2、s:Revolutionizing Operations in a Global Software FirmPeople-Centric Approaches to AI ImplementationFinal CommentsTable of Contents 3 SSON 202561320182124Beth BrownConference Producer&Junior EditorSSON Digital From Automated to AI-Driven:The Future of AP Automation SSON 20253Like the emergence of th

3、e internet or mobile phones,Artificial Intelligence(AI)is the next transformative technological innovation,reshaping workflows and revolutionizing how we live,work,and connect.As such,it was no surprise that AI was the hot topic of 2024;and will continue to be a key priority for businesses.However,t

4、he widespread buzz around AI,coupled with the mass of unsubstantiated articles around the topic of AI has made the technology seem like an empty buzzword,and many organizations do not truly understand it.This is a key barrier to AI implementation and its potential to revolutionize Shared Services.Da

5、ta collected at SSONs 2024 AP Automation Virtual Summit reveals that under 20%of organizations feel“knowledgeable and ready”for AI adoption within finance.A staggering 38%consider themselves beginner-level and still require“lots of upskilling”in preparation.Whether you feel overly intimidated by AI

6、or are unknowingly already leveraging it,this report will highlight the algorithm behind the agent with practical insights and tips to demystify the transformative technology.It will also allow you to benchmark your progress in AP Automation,by sharing which sub-processes or workflows organizations

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本文主要讨论了人工智能(AI)在财务共享服务中心(SSC)中的应用,特别是其在应付账款(AP)自动化中的作用。文章指出,尽管AI在2024年成为热门话题,但许多组织对其仍缺乏了解,导致AI的实施和潜力无法得到充分利用。文章通过SSON的2024年AP自动化虚拟峰会收集的数据指出,不到20%的组织认为自己“知识渊博且准备好”采用AI,而38%的组织仍处于初级阶段,需要大量培训。 文章详细介绍了AI在AP自动化中的各种应用,包括发票数据捕获、发票匹配、发票处理、欺诈预防、合规性、非采购订单(PO)费用管理、报告和分析以及AI驱动的用户体验。文章还引用了Medius的2024年财务专业人员报告,指出AP团队面临的挑战,如供应商沟通不足、发票匹配错误、合规性和税务法规、欺诈和安全风险以及发票处理延迟和过多的人工数据输入。 文章还讨论了AI在AP自动化中的实施挑战,包括与现有系统的集成复杂性、成本考虑和内部阻力。文章提供了克服这些挑战的顶级建议,包括选择与现有系统无缝集成的工具、确保数据为AI平台做好准备、投资于强大的变革管理策略、选择可扩展的解决方案以及为供应商采用提供支持渠道。 最后,文章通过一个全球软件公司的案例研究,展示了AI在AP自动化中的成功应用,并强调了AI在提高效率、节省成本、增强合规性和改善供应商关系方面的实际效益。
财务共享服务中心如何利用AI提高效率? AI在AP自动化中如何帮助企业节省成本? 财务团队如何通过AI实现战略转型?
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