Oracle Expands Fusion Data Intelligence with AI Agents and Advanced Analytics

Oracle has announced new capabilities for Oracle Fusion Data Intelligence, expanding its artificial intelligence (AI), advanced analytics and business intelligence offerings to help organizations make faster and more informed business decisions. Announced on October 27, 2026, at Oracle AI World in Las Vegas, the latest enhancements introduce new Data Agents, Deep Insight Agents, operational analytics and AI-powered applications designed to connect business insights directly with everyday workflows.

The expanded capabilities aim to help organizations move beyond traditional reporting and dashboards by providing deeper insights into business performance, identifying the reasons behind operational changes and recommending appropriate actions. By combining trusted enterprise data, business context and AI technologies, Oracle is strengthening its strategy to bring intelligent automation into enterprise applications.

Oracle Introduces New AI Agents for Business Intelligence

One of the major developments is the introduction of Fusion Data Intelligence Data Agents and Deep Insight Agents. These capabilities are designed to help business users interact with enterprise information through natural language conversations.

Fusion Data Intelligence Data Agents allow employees to ask questions about governed business data and receive relevant answers through a conversational experience embedded within dashboards. This makes it easier for users to explore business information without relying entirely on technical teams or manually creating reports.

Deep Insight Agents take this approach further by helping users investigate complex business questions. They combine semantic reasoning, business definitions, enterprise relationships and approved analytical methods to identify performance drivers and evaluate potential business impacts.

Key capabilities include:

Natural Language Queries: Allows users to explore business information using everyday language.
Advanced Business Analysis: Helps investigate complex operational and financial questions.
Conversational Insights: Supports follow-up questions and deeper analysis through interactive conversations.
Performance Investigation: Identifies factors affecting business outcomes and operational performance.
Decision Support: Helps organizations compare possible responses using trusted enterprise information.

These developments aim to make advanced business analytics more accessible to employees across different departments.

Operational Analytics Connects Business Insights with Daily Workflows

Oracle is also expanding Fusion Data Intelligence Operational Analytics to provide a unified experience for analytics and transactional reporting.

The capability combines current operational information with analytical insights across finance, supply chain, human resources and customer operations. This helps business teams identify operational changes, understand their impact and take action more quickly.

For example, finance teams can investigate changes in financial performance, while supply chain managers can use operational insights to identify inventory or procurement-related challenges.

By bringing analytics closer to everyday business activities, Oracle aims to reduce the gap between identifying an issue and responding to it.

Operational Analytics is currently available on a limited basis, according to Oracle’s announcement.

Integration with Oracle Fusion Cloud Applications

Another important enhancement is the integration of Fusion Data Intelligence with Oracle Fusion Cloud Applications and their AI-powered capabilities.

Fusion Data Intelligence-backed Fusion AI Agents and Agentic Applications can access curated enterprise information and governed business metrics directly within Oracle Fusion Applications.

This approach enables organizations to connect analytical insights with business processes rather than treating reporting and operational execution as separate activities.

Oracle also introduced Fusion Data Intelligence EPM Integration, which allows finance teams to analyse budgets and forecasts from Oracle Fusion Cloud Enterprise Performance Management alongside actual financial results from Oracle Fusion Cloud ERP.

Additionally, the new Fusion Data Intelligence for Oracle E-Business Suite provides prebuilt analytics to support organizations transitioning from Oracle E-Business Suite to Oracle Fusion Applications. It helps businesses analyse information across both environments during the migration process.

Key Benefits for Enterprise Businesses

The latest Oracle Fusion Data Intelligence enhancements offer several potential advantages for organizations looking to improve enterprise analytics and AI adoption.

Faster Decision-Making: Natural language AI agents help employees access relevant business information quickly.
Improved Data Accuracy: Governed metrics and curated datasets support more consistent business analysis.
Greater Operational Visibility: Connected analytics provide insights across finance, HR, supply chain and customer operations.
Reduced Reporting Workloads: Prebuilt analytics and automated data pipelines help reduce manual reporting activities.
Better Financial Planning: EPM integration allows organizations to compare budgets, forecasts and actual financial performance.
Simplified ERP Modernization: Prebuilt analytics support organizations moving from Oracle E-Business Suite to Fusion Applications.

Availability of New Oracle Fusion Data Intelligence Capabilities

Oracle confirmed different availability stages for the announced features.

Fusion Data Intelligence Data Agents, Oracle E-Business Suite Data Intelligence and Fusion Data Intelligence for US Government are generally available. Operational Analytics is available on a limited basis, while Deep Insight Agents are planned for general availability within the next 12 months.

These staged releases allow Oracle to expand its AI and analytics ecosystem while continuing to develop additional enterprise intelligence capabilities.

Conclusion

Oracle’s expansion of Fusion Data Intelligence highlights the growing role of AI agents and advanced analytics in modern enterprise software. By introducing conversational Data Agents, Deep Insight Agents, operational analytics and deeper integration with Fusion Cloud Applications, Oracle aims to help organizations transform business information into actionable insights.

As companies continue investing in ERP modernization and intelligent automation, connecting trusted enterprise data with AI-powered decision-making will become increasingly important. Oracle’s latest developments represent another step towards more connected, intelligent and data-driven business operations.