您的浏览器禁用了JavaScript(一种计算机语言,用以实现您与网页的交互),请解除该禁用,或者联系我们。 [Workday]:Workday如何用AI重新定义财务 - 发现报告

Workday如何用AI重新定义财务

2025-08-20 - Workday Good Luck
报告封面

Table of Contents Introduction TransformingFinancewithSpeed,Precision,andInsight 3 FinanceOperationsDrivenbyAgenticAIfromWorkday:CoreProcesses,IntelligentlyAutomated41. Intelligent Data Core4 2. Streamline and Simplify the Close Process 3. AI-Driven Bank Reconciliation at Your Fingertips4. Invoice Processing That Works for You5. Match Payments in Moments6. Simplify the Collection Letter Process SmartSpendingStartsHere 7 1. Simplify the Spend Process72. Accelerate Expense Approval and Reduce Risk3. From Receipt to Reimbursement DynamicFinancialPlanning 1. Catch Planning Errors Before They Happen2. Ask Questions, Get Insights WhyWorkday? Introduction. As finance and accounting evolve, CAOs have shifted their focusto strategic leadership, data management, and cross-functional We believe organizations that embrace AI can automate the work thatslows them down—including up to 90% of transaction processing—tospeed up financial close and planning by 15 times, and enable teams Transforming finance with speed,precision, and insight. Finance teams continuously look for ways to streamline processes andimprove decision-making. Through enhanced automation, a new levelof controls and governance, and data-driven insights, organizationscan now achieve unprecedented levels of speed and accuracy. These Superintelligence for finance. Financial management agentstransform work. Keybenefitsforfinanceteams: •Access rich contextual insight to drive faster, better decisions:Granular insight providesthe necessary foundation for AI to learn from and make recommendations. This, coupled •Gain exponential productivity:With an intelligent data core as the foundation, we can put AIagents to work and transform the way work gets done. Concepts such as document-drivenaccounting become possible and eliminate unnecessary manual work. Critical processes •Set a new level of controls and governance:AI operates within Workday’s secure, governedfoundation to detect patterns and anomalies. This surfaces errors across data and processesas they occur and recommends remediation strategies, mitigating risk and elevating data Finance operationsdriven by agentic AIfrom Workday:Core processes, 1. Intelligent data core. From the start, Workday was built to deepen financial insight—not strip itaway like many legacy accounting systems. Instead of discarding detail,we retain the rich contextual data that comes with each transaction, suchas a supplier or customer invoice: location, region, project, supervisor, In addition, Workday Accounting Center allows customers to integratethird-party data—such as revenue and expense system data—and bringit into Workday with its full operational context. Because we know our For example, a restaurant can integrate point-of-sale data into Workday,combining the latest sales information with details such as meal items,beverages, merchandise, restaurant location, and even the server. What’s more, the accounting rules that drive this are fully configurable by What makes this even more powerful is the ability to apply AI to thisrich data foundation with the Financial Analysis Agent. Customers canask natural language questions and get answers in a conversational increase in time spent on strategic work byaccounting teams 2. Streamline and simplify theclose process. Workday creates continuous, real-time accounting—as transactionsare approved, the secure platform automatically generates accountingentries, handles intercompany eliminations, and manages translations. Unlike legacy systems that require moving and manipulating data,Workday preserves full operational context and data lineage. Workdaycaptures the entire thread of data from the originating purchase order to In addition, we have built AI data and process controls into Workday,which sets a new standard for governance. Made possible thanks to theFinancial Test Suite, a Financial Test Agent interrogates data and businessprocesses for risk and potential fraud, and recommends the best course 3. AI-driven bank reconciliation atyour fingertips. A timely and complete bank reconciliation process is a vital control for anyorganization. Workday executes complex bank reconciliation to ensure Workday AI Matching for Bank Reconciliation helps streamline thebank reconciliation process further by leveraging predictive matchingfor bank statement lines. AI will analyze historical data and patterns, 4. Invoice processing that worksfor you. 5. Match payments in moments. For contract-to-cash processes, AI-powered payment matching createsdirect connections between incoming funds and customer invoices.When exceptions occur, Workday provides specific recommendations. Furthermore, in an AI environment, the matching process improves overtime, enabling a faster process with each iteration. Leveraging AI has adirect impact on cash forecasting, and Workday customers have seen as 6. Simplify the collection letter process. Many organizations use templatized colle