Oracle EPM April 2026 (26.04) Update – AI, Automation, and Platform Enhancements!

The Oracle Fusion Cloud Enterprise Performance Management (EPM) April 2026 release marks a significant step forward in the evolution of modern EPM platforms. After a period of platform consolidation and updates, this release introduces a broad set of enhancements spanning Artificial Intelligence (AI), automation, security, and enterprise integration.

This update is not just incremental—it represents a strategic shift toward intelligent, API-driven, and highly automated EPM ecosystems, enabling organizations to move beyond traditional finance processes into more predictive, data-driven decision-making environments.

Key Themes

Several strategic themes define this release:

• AI-driven decision support enabling predictive insights and intelligent automation
• Expanded REST API capabilities supporting automation and DevOps-driven deployments
• Stronger integration frameworks for seamless data exchange across enterprise systems
• Enhanced governance and security controls for improved compliance and access management

Collectively, these enhancements align Oracle EPM with modern enterprise architecture standards, where automation, intelligence, and scalability are key priorities.

 

Feature 1: Fusion AI Agents Integration

One of the most transformative capabilities introduced in this release is Fusion AI Agents integration. This feature enables organizations to embed AI directly into EPM processes, allowing users to interact with the system using natural language.

Key Capabilities:

• Execute business processes through conversational interactions
• Retrieve planning and financial data using AI-driven queries
• Trigger workflows and automate repetitive operational tasks
• Enable intelligent recommendations based on application context

These AI agents are supported by new REST APIs designed specifically for agent-driven interactions, enabling organizations to build custom AI solutions tightly integrated with EPM workflows.

Business Impact:

This significantly reduces manual effort and improves productivity by allowing finance teams to focus on analysis rather than system navigation and execution.

 

Feature 2: AI-Powered Reconciliation

The April 2026 release introduces AI-powered enhancements in Account Reconciliation, improving both matching and attribute assignment processes.

Key Enhancements:

• Transaction Matching Assistance uses machine learning models trained on historical reconciliation data to predict matches
• Attribute Assignment Assistance predicts values based on past patterns and data trends

 

Business Impact:

• Faster reconciliation cycles
• Reduced manual intervention
• Improved accuracy and consistency in financial close processes

This is particularly valuable for organizations dealing with high transaction volumes, where manual reconciliation is time-consuming and error-prone.

 

Feature 3: Role-Based Security Enhancements

Security and governance are strengthened through enhanced role-based access control (RBAC) capabilities.

Key Enhancements:

• Fine-grained role-level access for Data Integration components
• Improved control over user actions within specific modules
• Enhanced audit tracking and visibility of user activities

Business Impact:

These improvements help organizations:

• Enforce compliance requirements
• Reduce risk of unauthorized access
• Maintain stronger control over financial data and processes

 

Feature 4: Global Rules

The introduction of Global Rules enables centralized management of reconciliation logic across the application.

Key Capabilities:

• Define rules at the application level rather than at individual process levels
• Standardize reconciliation logic across entities and business units
• Simplify rule maintenance and governance

Business Impact:

This feature enhances scalability and consistency, especially in large enterprises with multiple business units or geographic regions, reducing duplication and maintenance overhead.

 

Feature 5: Enterprise Data Management Enhancements

Enterprise Data Management (EDM) receives several enhancements aimed at improving usability, connectivity, and intelligence.

Key Enhancements:

• AI-driven application registration using generative AI assistants to configure metadata properties
• Improved hierarchy visualization, including organizational chart views for better data interpretation
• Azure Blob Storage integration for centralized external data exchange

 

Business Impact:

• Faster onboarding and configuration of applications
• Improved data governance and transparency
• Seamless integration with external systems and cloud storage platforms

 

Feature 6: Predictive Cash Forecasting

Predictive Cash Forecasting is now fully integrated with Oracle Fusion Cloud ERP, enabling near real-time financial planning capabilities.

Key Capabilities:

• Direct integration with Accounts Receivable, Payables, and Cash Management
• AI-driven forecasting models using live ERP data
• Continuous updates to improve forecast accuracy

Business Impact:

• Eliminates manual data consolidation between ERP and EPM
• Enhances treasury and FP&A decision-making
• Provides real-time insights into cash positions

 

Feature 7: REST APIs and Automation

The April 2026 release significantly expands REST API capabilities and automation features, reinforcing Oracle’s API-first strategy.

Key Enhancements:

• New APIs for exporting/importing data, metadata, and user variables
• APIs supporting AI agent interactions with EPM applications
• Enhanced integration with DevOps pipelines and automation workflows
• Improved error handling and retry mechanisms in automation tools

Business Impact:

• Enables full automation of EPM processes
• Supports CI/CD and DevOps-driven deployments
• Simplifies system integrations with external platforms

 

Conclusion

The Oracle Fusion Cloud EPM April 2026 release represents a major evolution in enterprise performance management. By combining AI-driven intelligence, enhanced automation, modern API capabilities, and stronger governance, Oracle is enabling organizations to transform their finance functions into more agile, scalable, and insight-driven operations.

This release clearly signals a move toward intelligent EPM platforms, where automation and AI are deeply embedded into everyday financial processes—empowering organizations to make faster, more informed decisions while reducing operational overhead.

Happy Days on the Cloud!!!