Oracle Introduces 25 AI Agentic Applications Across Fusion Cloud ERP, HR and Supply Chain
Oracle announced 25 new AI-powered Agentic Applications at Oracle AI World on October 26, 2026, expanding its artificial intelligence capabilities across Oracle Fusion Cloud Applications. The applications are designed to help organizations execute complex business processes across enterprise resource planning (ERP), human resources (HR), supply chain, manufacturing, sales and customer service.
AI Agents Focus on Business Outcomes
The new applications are powered by Oracle Fusion Claw, an execution environment designed to support complex, long-running business tasks, continuous replanning and greater governed autonomy. Rather than simply generating recommendations, these AI applications can coordinate workflows and carry out authorized actions toward defined business objectives.
Oracle’s approach allows employees to set objectives, establish policies and retain accountability while AI agents manage approved execution steps. The applications are designed to operate within organizational permissions, security requirements and business controls.
Finance and Procurement Among Key Use Cases
Oracle’s new Ledger application helps finance teams improve period-end close readiness by reconciling accounting information, investigating anomalies and resolving exceptions. It supports complex financial analysis while keeping execution within approved policies and controls.
The Procurement Spend application analyzes purchasing activity, supplier agreements and spending data to identify unauthorized purchases, contract leakage and potential savings opportunities. It can also recommend corrective actions for review.
Other applications address workforce planning, payroll reporting, supply allocation, field demand planning, customer service performance and configuration migration. For example, Supply Planning Allocation evaluates competing demand for limited materials and production capacity, helping teams compare scenarios and prepare allocation plans.
Fusion Companion Connects Business Intent to Execution
Oracle also introduced Fusion Companion and Fusion Agentic Home to provide a more direct way for users to interact with enterprise applications.
Fusion Companion uses business context, enterprise data and user permissions to identify appropriate transactions, workflows, approvals and AI agents. It can also coordinate authorized actions across other enterprise systems.
Fusion Agentic Home provides a personalized interface where users can define objectives, delegate tasks and monitor progress through completion. Oracle says Fusion Companion can work through supported AI tools, including ChatGPT.
Tools for Building and Managing AI Agents
Oracle AI Agent Studio for Fusion Applications enables customers and partners to create, extend and manage AI agents using both no-code and pro-code capabilities. The platform includes observability, return-on-investment measurement and safety controls intended to support responsible deployment at scale.
As organizations explore agentic AI, implementation success will depend on data quality, workflow integration, governance and clear approval boundaries. Businesses will need to assess where autonomous execution can deliver measurable value without compromising security or operational oversight.
Key Takeaways
- 25 agentic applications: Oracle expanded AI capabilities across ERP, HR, supply chain, manufacturing and customer experience.
- Finance automation: The Ledger application supports reconciliation, anomaly investigation and faster resolution of accounting exceptions.
- Supply chain and procurement: AI agents can analyze resource constraints, purchasing data and allocation scenarios to support operational decisions.
- Connected AI experience: Fusion Companion and Fusion Agentic Home let users delegate objectives and track work across enterprise workflows.
- Enterprise governance: Oracle AI Agent Studio provides tools to develop, monitor and manage agents with security and safety controls.
- Business impact: Oracle is positioning agentic AI around completing business processes and achieving outcomes, rather than providing recommendations alone.