By Guy Armstrong, SVP cloud applications, UK and Ireland, Oracle
Few business functions are as ready for evolution as finance. With its rich data, well-defined processes, and critical role in strategic decision-making, finance is uniquely positioned to innovate. CFOs indicate that AI will play a key role in that innovation.
Today’s finance professionals are under pressure not just to report the numbers but to interpret them, advise the business, and anticipate what comes next. And as technology handles more of the repetitive work, finance teams are moving closer to the heart of strategic planning and value creation.
AI agents are accelerating that shift. Embedded within modern finance platforms, they’re bringing new levels of productivity, accuracy, and foresight to everyday operations.
A new generation of finance automation
Finance departments have historically been early adopters of technologies with potential efficiency benefits, but automation is no longer just about doing the same work faster. AI agents are transforming how the work gets done and who’s doing it. By automating repetitive processes and providing predictive insight, they free up time for higher-value activities, such as scenario modelling, risk management, and advising the business on growth opportunities.
AI agents can now run autonomously within finance systems, ingesting data, identifying anomalies, and initiating actions without human prompting. Instead of manually reconciling transactions or building retrospective reports, finance professionals can focus on shaping forward-looking strategy. This marks a real step change from reactive reporting to continuous real-time intelligence.
Eliminating bottlenecks through touchless operations
One of the most visible breakthroughs is the rise of “touchless” finance operations. Tasks such as invoice processing, journal adjustments, and policy compliance can now be supported end-to-end by AI agents.
An AI-enabled system can capture invoice data from multiple formats, match it automatically to purchase orders and receipts, perform tax and fraud checks, and route it for approval, all within minutes. These same capabilities extend to expense categorisation, reconciliations, and reporting, turning what were once multi-step, manual processes into streamlined workflows.
The result is greater accuracy, faster turnaround times, and more consistent governance across the organisation. More importantly, it liberates finance professionals from administrative activities, allowing them to spend more time on analysis and forecasting.
From hindsight to foresight
Beyond automation, AI agents deliver predictive insights that help finance leaders stay ahead of emerging challenges. Advanced planning agents can provide real-time trends and variance analysis through natural-language interactions, eliminating the need to build complex reports or wait for month-end close. An FP&A manager, for example, can now ask natural language questions – “Where are costs trending above plan?” Or “What’s driving cash flow volatility?” – and receive answers backed by live data.
Through event-driven predictions and what-if simulations, AI agents can support faster, more informed decisions. Whether it’s forecasting cash flow shortfalls several months out or identifying cost overruns in real time, predictive agents give CFOs the tools to act early and decisively, often before issues become visible through traditional reporting.
Real-world transformation at scale
Leading organisations are applying these principles at scale. Global firms are standardising their finance operations on unified cloud platforms and using embedded AI to automate document handling, streamline reporting, and strengthen financial controls.
For instance, PwC recently announced it has standardised its finance operations globally on Oracle Fusion Cloud Enterprise Resource Planning (ERP) to strengthen financial controls, align planning, and streamline reporting across its business to help fuel client innovation. PwC is using Oracle Cloud ERP’s document IO agent and AI-powered narrative reporting capabilities to automate document handling across end-to-end financial processes to further accelerate financial insights and decision-making.
From professional services to manufacturing, finance teams are finding that the combination of cloud-based standardisation and embedded AI capabilities can deliver insights that were previously difficult to surface at speed, creating a foundation for better-informed decisions and stronger performance.
The rise of the agent ecosystem
A new ecosystem is emerging around AI agents themselves. Just as app stores transformed the consumer software landscape, agent marketplaces are beginning to take shape. These allow finance teams to deploy specialised agents for tasks ranging from regulatory reporting to cash flow forecasting.
Oracle’s Fusion Applications AI Agent Marketplace, for example, enables organisations to find and deploy validated, partner-built AI agents directly within Oracle Fusion Cloud Applications to simplify workflows and accelerate AI adoption. By bringing system integrators and software partners into a shared innovation ecosystem, this kind of marketplace model can help enterprises scale intelligent automation efficiently.
This open, modular approach can help accelerate innovation and reduce implementation time. Organisations can select the agents that meet their needs, while developers build and refine solutions for industry-specific challenges.
Building your proactive finance future
Finance has always been about stewardship; working to ensure accuracy, compliance, and control. But as AI agents take on more of the routine work, finance teams can elevate the insights and guidance they bring to the table and take on a more strategic role in guiding the business forward.
CFOs must assess how to go from small automation wins to reimagining the way the entire finance function operates and the time to act is now. CFOs should begin with targeted initiatives, demonstrate value, and scale with purpose.
Those who act early will shape not only the future of finance, but also the future of their enterprise.