Oracle Cloud EPM & AI: What’s Coming Next for Finance Teams With Matt Bradley
An Episode and Article in the EPM Intelligence Oracle AI World Series featuring Matt Bradley
Key Takeaways
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EPM is evolving from process to performance: AI and automation are redefining how enterprises plan, forecast, and analyze profitability.
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AI builds smarter finance ecosystems: Predictive forecasting, generative reporting, and intelligent agents are enabling continuous visibility and faster insights.
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Oracle continues to evolve and lead: From Hyperion to Oracle Cloud EPM, each generation delivers new insights into how enterprises plan, forecast, and perform.
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Built-in trust and scalability: Oracle’s native AI ensures governance, compliance, and explainability, without bolted-on complexity.
EPM in the Age of Intelligence
As Matt Bradley, Senior Vice President of Oracle EPM Development, explains:
“EPM is no longer just about automating finance; it’s about enabling better decisions across the enterprise.”
The enterprise performance landscape has evolved dramatically from Hyperion’s early foundations to Oracle’s modern, AI-powered EPM suite. What began as a financial planning tool is now a platform that unifies data, predicts outcomes, and enables proactive decision-making.
Where AI Lives: OCI, EPM, or ERP?
AI isn’t layered on top of Oracle’s applications; it’s embedded directly across OCI, ERP, and EPM, so intelligence shows up where work happens. Bradley explains that this architecture keeps data secure, governed, and instantly actionable.
- OCI: Provides the performance, governance, and security foundation that powers Oracle AI.
- ERP: Applies AI to operational data for anomaly detection, cash forecasting, and automated recommendations.
- EPM: Uses AI for predictive planning, narrative insights, and intelligent agents that surface real-time drivers and explanations.
Bradley’s point is simple: AI delivers the most value when it’s embedded inside the applications that run the business.
From AI Agents to Intelligent Performance
AI agents represent the next phase of enterprise automation—adaptive, explainable, and tailored to the finance user.
Oracle’s AI Agent Studio allows organizations to create domain-specific assistants that automate forecasting, explain anomalies, and surface recommendations.
These agents operate across Oracle Cloud EPM and ERP, bringing intelligence to the point of decision-making.
Turning on AI: The Foundations for Success
Before enterprises can unlock AI’s full potential, they must establish the right foundations: clean data, governance, and connected systems.
Bradley outlines the prerequisites for activating Oracle’s AI capabilities:
- Clean, connected data
- Governance
- Change management – building trust and best practices into the models and the teams
AI doesn’t replace finance expertise. It amplifies it by learning from enterprise-specific transactions, behaviors, and trends.
Is your business transitioning from Excel-based planning to Oracle Cloud EPM? In this clip, Matt Bradley explains how a business can progress across their AI Journey.
The Next Decade of Enterprise Performance
The next era of EPM and enterprise AI will be defined by deeply embedded data intelligence, performance management will become a self-optimizing, always-on layer guiding decisions across the enterprise.
“Ten years from now, you won’t talk about AI as a feature—it’ll just be how enterprise software works.” – Matt Bradley
Built for Trust, Scale, and Simplicity
Oracle’s competitive advantage comes from its built-in AI. With intelligence embedded directly into Oracle Cloud EPM, customers gain secure, governed, and scalable performance management, without added complexity.
Oracle Cloud AI Differentiators:
- Native integration across EPM: no external tools, connectors, or data movement
- Continuous learning from enterprise-specific data to deliver context-rich insights
- Embedded governance and compliance within OCI for trusted, enterprise-grade security
- Transparent, explainable AI that helps users understand the drivers behind results
EPMI’s Key Insights
AI, ERP, and EPM are reshaping enterprise performance by moving intelligence directly into the systems where decisions are made. Early wins come from targeted AI use cases, but long-term impact comes from scaling those capabilities across planning, forecasting, and operations.
At EPMI, we help organizations start with clear goals, unify their data, and empower leaders to make better business decisions using Oracle’s built-in AI and enterprise solutions.
FAQs
1. How does Oracle’s EPM AI differ from competitors?
Oracle’s AI is built into its Cloud platform—ensuring integration, governance, and security without added complexity.
2. How is Oracle Cloud EPM using AI to improve forecasting?
Oracle Cloud EPM embeds predictive and generative AI directly into planning workflows. It analyzes historical patterns, generates new forecasting drivers, identifies anomalies, and produces narrative insights, resulting in more accurate, continuous forecasts with less manual effort.
3. How can enterprises prepare for AI adoption?
Establish strong data governance, unify ERP and EPM systems, and start with targeted AI use cases that deliver measurable ROI.
4. What is Oracle AI Agent Studio and how does it help finance teams?
AI Agent Studio allows organizations to create domain-specific agents that automate tasks such as driver discovery, anomaly explanation, scenario modeling, and forecasting. These agents live inside ERP and EPM, enabling intelligence directly at the point of decision.
Watch the AI World Series on YouTube!