Oracle Fusion & EPM AI capabilities
How Oracle embeds AI across financial operations and planning
Oracle Fusion and EPM integrate AI into the workflows your teams use every day. Invoices process themselves, duplicate payments get caught before they go out and forecasts refresh in a matter of minutes. All of it unlocked through NRI’s adoption services.
Seamless AI across one connected platform
Most AI tools sit outside the systems that run your business. That means exporting data, switching context and stitching together insights that never quite connect to the work itself.
Oracle Fusion and EPM take a different path. AI operates inside the platform, working with your enterprise data as it already flows through ERP and EPM processes. Insights stay tied to the transactions, plans and decisions they relate to, so what AI surfaces can be acted on immediately, in the same screen.
For your teams, that means no new tools to learn, no parallel environments to manage and no data leaving the systems they trust. Finance, planning and operations work faster and more accurately while staying inside the workflows they already know.
From forecasting to AI agents
Predictive AI
Forecasts outcomes, surfaces trends and flags anomalies using the financial data that’s already sitting inside your Oracle platform. Projections move in lockstep with your actuals instead of drifting out of date the moment they’re built.
Generative AI
Produces first-draft summaries and explanations from your Oracle data. Your team then refines and approves these outputs before they’re used in decisions.
Document AI
Natural Language Processing (NLP) turns plain-language questions into clear insights. Computer Vision reads invoices and other documents automatically. Both cut down on manual work.
AI Agents
Agents can guide users through complex tasks, automate routine steps and run end-to-end processes all by themselves, all inside your existing controls.
The everyday wins of embedded intelligence
In our work with Oracle customers, the highest-impact AI use cases tend to cluster in a familiar set of places. They are the processes teams run every month, every week, every day.
- Financial close and reconciliations speed up as AI matches transactions, flags anomalies and routes attention to the items that need human judgement.
- Forecasting and planning gain a sharper edge as predictive models surface drivers, patterns and the impact of different scenarios.
- Risk and anomaly detection shifts from reactive to proactive, with unusual transactions and unexpected variances flagged early enough to act on.
- Invoice and document processing accelerates through AI-powered capture, interpretation and routing, replacing manual entry with automated workflows.
The pattern is consistent: less time on repetitive work, faster decisions, clearer visibility into what is happening across the business and forecasts you can actually trust. Our role is to help you spot which of these will move the needle first in your environment.
How AI works inside Oracle Fusion and EPM
Where does Agentic AI fit into Oracle Fusion and EPM?
Agentic AI is the next step on Oracle’s AI roadmap.
Where its other capabilities provide analysis and insight, AI agents actually execute tasks.
You define an outcome, and the agent plans the steps, executes the work and brings results back for review.
Think of an agent as a digital colleague that can take on well-defined tasks reliably and at scale.
How does Agentic AI differ from traditional AI?
Traditional AI gives you insight. It predicts, summarises or flags.
Agentic AI goes a step further by acting on that insight to drive a workflow end-to-end.
Where predictive AI might tell you a number, an agent can refresh the model, generate the scenarios and prepare the deliverable for you.
How can Agentic AI support finance and planning teams?
Let’s take a monthly forecast refresh for example.
Instead of manually pulling data, updating models and assembling views, you simply ask for a refreshed forecast for next month. The agent pulls the updated data, applies the models, generates scenarios and assembles outputs ready for your team to review and approve.
We see this pattern across close, planning and management reporting tasks that today consume real analyst time.
Can AI agents execute business processes?
Yes. Agents are designed to run multi-step workflows inside Oracle Fusion and EPM, from data prep through to scenario generation, document creation and approval routing.
They operate within your existing security rules, approvals and process logic, so execution stays consistent with how your business already works.
How are AI agents monitored and controlled?
Agents operate fully inside the Fusion environment with built-in observability.
You can monitor behaviour, accuracy, performance and cost in real time, and every action is captured and visible.
That means you stay in control of what agents do, how well they do it and what they cost to run.
How do we ensure the outputs from Generative AI are accurate and controlled?
Generative AI in Oracle Fusion and EPM draws on the financial and operational records already in your platform to produce summaries and explanations of data.
However, like any AI-assisted tool, it can make mistakes — including in the figures it references — so outputs should be treated as drafts rather than finished work.
That means your team should always review any outputs before they are used to inform reporting or decisions. Access to generative features should also be scoped to the roles and use cases where they add the most value. That way, AI can accelerate the drafting process while your people stay in control of how it’s used.
Take the next step
Book an AI Readiness Assessment
NRI helps organisations identify the highest-value Oracle AI opportunities, prioritise the use cases that matter most and implement them in ways that deliver measurable business value.
The starting point is a focused conversation about where AI can move the needle for your finance and planning teams.
Ready to think ahead?
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