Oracle has introduced Fusion Agentic Applications, a new set of AI-powered applications embedded in Oracle Fusion Cloud Applications.
The launch positions these agentic capabilities as systems that can reason, decide, and act inside live business processes, with governance and human oversight built in.
In Oracle’s framing, Fusion Agentic Applications run as coordinated teams of specialized agents. Each agent carries a defined role, a specific domain focus, and decision authority.
The applications pursue a defined objective. They progress work, evaluate tradeoffs, and adapt as conditions change. They also surface exceptions where human judgment changes the outcome.
For Steve Miranda, Executive Vice President of Applications Development at Oracle, the shift is fundamental:
"With Fusion Agentic Applications, we are moving enterprise software beyond passive systems of record and providing our customers with applications that can reason, decide, and act in pursuit of defined business objectives."
Oracle ties the agentic claim to architecture. The company positions these applications as native to the transactional layer, with secure access to the data and controls that drive enterprise operations.
That foundation includes unified enterprise data, workflows, policies, approval hierarchies, permissions, and transactional context. It also anchors governance through role-based access, approvals, and traceability, including step-by-step actions and full execution paths.
Early Use Cases Across Finance, HR, Supply Chain, and CX
Oracle positions the new agentic layer as relevant to finance, HR, supply chain, and customer experience leaders.
The release points to 22 Fusion Agentic Applications now available, and highlights several example workspaces and objectives. Workforce operations use cases focus on reducing manual data gathering, speeding scheduling approvals, and reducing payroll issues. Sourcing workflows target product cost, cycle time, and compliance risk.
Revenue-facing examples focus on execution inside growth motions. A cross-sell workspace aims to identify expansion opportunities and reduce customer acquisition costs. A collections workspace targets faster cash collection and lower days sales outstanding.