技术驱动共享服务与财务转型的未来研究报告

AUTONOMOUSFINANCEMARKET REPORTDriving the Future of Shared Servicesand Finance Transformation Table of Contents Automated to Autonomous: A TransitionalTime for Finance Teams The Evolving Role of AI and Autonomous Finance The Wider Digital Ecosystem forAutonomous Finance Achieving a Single Source of Truth is Critical Discover the Building Blocks of AutonomousFinance with FIS Top 5 Use Cases for Autonomous Finance The Power of a Human-in-the-loop Approach Case Study: Transforming Credit Managementwith FIS GETPAID – A Success Story Step into the Future with Autonomous Finance24 Beth Brown Conference Producer & Junior EditorSSON Digital Automated to Autonomous:A Transitional Time for Finance Teams Finance operations are truly a cornerstone of GBS, withfunctions such as Procure-to-Pay (P2P), Order-to-cash(O2C), and Record-to-Report (R2R) being commonlyabsorbed into the shared services. The shared servicemodel aims to drive cost consolidation and operationalefficiency, and, as such, automation has emerged as astrategic imperative within the financial landscape. are on the brink of a major transition asorganizations become increasingly concerned withthe autonomous. Unlike conventional automation,autonomous finance integrates sophisticatedmachine learning algorithms and artificial intelligence(AI) to enable self-learning software agents. Theseagents autonomously execute complex financialtasks, continuously learning from data patterns andrefining their processes. Traditionally, financial process automation involvesleveraging advanced technologies to streamlineworkflows, reduce manual interventions, and mitigateerrors. By automating routine tasks such as invoiceprocessing, reconciliation, and financial reporting,organizations save time, heighten compliance, andoptimize decision-making capabilities. However, thisshift towards automation is not just about operationalefficiency; it represents a fundamental transformationtowards greater agility and competitiveness in arapidly evolving business climate. This capability empowers CFOs and financeteams with augmented real-time insights andpredictive analytics, enabling initiative-takingdecision-making and strategic planning. The potentialof autonomous finance is clear, 64% of CFOs predictautonomous finance will become a reality within thenext six years. The trajectory towards autonomousfinance is underscored by its potential to redefine howfinancial operations are managed. CFOs anticipatea shift in where autonomous systems will not onlyperform routine financial tasks but also providepredictive analytics, scenario modeling, and riskassessment in real time. This transition promisesunprecedented efficiency gains and cost savingswhile freeing up human resources for more strategicinitiatives and value-added activities. As such, according to SSON Research & Analytics’Metric Intelligence Hub™, 28% of SSCs have a 10-15% improvement in the error rate for their highest-performing finance and accounting automated process. However, this is just the beginning of the efficiencyfinance autonomation can facilitate. Finance teams “What CFOs are looking to do isturn finance from a cost centerinto a profit center.” Keith Cowart, Global Market OwnerAutomated Finance, FIS The Evolving Role of AI andAutonomous Finance As expected, autonomous processing and AI truly gohand in hand. Achieving autonomous finance relieson a robust technology ecosystem that operatesindependently- and is fuelled by AI. By leveragingself-learning tools such as generative AI,organizations can benefit from heightened efficiencyand streamlined processes. However, the future of autonomous finance truly lies inthe next phase of Artificial Intelligence- Agentic AI. A Beginner’s Guide to Agentic AI Although it may feel as though the industry has justcome to grips with generative AI, Agentic AI is set tosend shockwaves throughout the GBS landscape.Agentic AI is defined by its ability to make decisionsand act independently without direct human input. Thetechnology can leverage advanced algorithms andsensory inputs to execute actions in real-time, whilstusing techniques such as evolutionary algorithmsto continuously optimize performance. The tool isdesigned to manage complex situations autonomously,making many finance functions fruitful use cases todeploy the tool. In fact, many organizations are already on track toachieving end-to-end autonomous processes asgenerative AI adoption has skyrocketed. According toSSON Research & Analytics’ State of the Shared Services& Outsourcing Industry Global Market Report 2025, astaggering 79% of organizations are already leveraginggenerative AI in their processes, with 56% perceiving thetool as “transformative.” This trend is set to continue, asgenerative AI is the top technology investment priorityof the year- noted by 48% of organizations. The rapid pace of generative AI adoption cannot beignored as, in Q3 2023 when the tool was first makingheadlines, SSON Research