Understanding Agentic AI
Agentic artificial intelligence (AI) refers to systems that can plan, make decisions and execute multi‑step workflows with minimal human oversight. Unlike basic chatbots or rule‑based automation, agentic systems reason through tasks, interact with tools and work across data, applications and business processes. Recent articles note that agentic AI sets goals and executes workflows without constant human prompting, helping enterprises redesign processes around semi‑autonomous agents instead of automating individual tasks. Early deployments deliver 3–5 % productivity gains, and scaled multi‑agent systems can unlock 10 %+ enterprise growth. These systems operate within defined rules, permissions and approval boundaries, so successful implementation requires clear oversight and governance.
Oracle Fusion’s Leap into Agentic AI
At Oracle AI World London 2026, Oracle announced Fusion Agentic Applications—a new class of enterprise applications built directly into Oracle Fusion Cloud. These applications are not mere AI assistants that sit alongside existing workflows. Instead, they comprise coordinated teams of specialised AI agents that operate natively inside the Fusion suite, accessing unified enterprise data, policies and transactional context to reason, decide and act in pursuit of business objectives. The goal, according to Oracle’s EVP of Applications Development Steve Miranda, is to move enterprise software beyond passive systems of record into applications that reason and act autonomously.
Examples of Fusion Agentic Applications
Oracle’s initial release includes 22 agentic applications across finance, HR, supply chain and customer experience. Four notable examples illustrate the breadth of capabilities:
Agentic Application | Business Function & Outcome | Source |
|---|---|---|
Workforce Operations | Automates manual HR work by accelerating scheduling approvals and reducing payroll issues. It transforms reactive workforce management into proactive, intelligent operations. | PRNewswire press release |
Design‑to‑Source Workspace | Helps supply‑chain leaders reduce product cost, cycle time and compliance risk by uniting engineering, supplier and sourcing decisions into one continuous process. | PRNewswire press release |
Cross‑Sell Program Workspace | Equips sales teams to proactively identify growth opportunities, drive predictable expansion revenue and lower customer‑acquisition costs, shifting reactive campaigns into always‑on revenue expansion. | PRNewswire press release |
Collectors Workspace | Enables finance teams to collect cash faster, lower days sales outstanding and improve promise‑to‑pay conversion by shifting manual collections into intelligent, continuous cash‑flow management. | PRNewswire press release |
These applications demonstrate how agentic AI can transform core business functions—from workforce planning to supply‑chain sourcing and revenue operations—by letting agents take action inside the Oracle Fusion suite.
Why Fusion Agentic Applications Are Different
The Flexagon recap from the event highlights three key factors that distinguish Fusion Agentic Applications from earlier Oracle AI features:
Outcome‑Driven, Continuous Execution: Whereas previous AI features automated specific tasks, Fusion agentic applications operate against defined business objectives and continuously work toward them, reasoning and re‑optimising as conditions change.
Persistent Context and Memory: Agents maintain shared context across time and workflow steps, remembering intent and prior decisions so users do not need to reconstruct information at each interaction. Persistent memory enables multi‑step, autonomous execution inside complex workflows.
Native Governance and Compliance: Because the applications are built natively into Oracle Fusion Cloud, they honour existing role‑based access controls, approval hierarchies and audit frameworks. This provides end‑to‑end traceability of decisions and execution paths, a crucial requirement as organizations scale AI across enterprise systems.
The Role of Oracle AI Agent Studio
Alongside the agentic applications, Oracle expanded its AI Agent Studio. The new Agentic Applications Builder allows customers to build, connect and run AI automation using reusable Oracle, partner and external agents—without traditional application development. New features include workflow orchestration, content intelligence, contextual memory, ROI measurement tools and built‑in observability and safety controls. The platform connects to a network of more than 63,000 certified experts trained in Oracle AI Agent Studio, enabling customers to extend the 22 off‑the‑shelf agentic applications or create new ones tailored to their industry and workflow needs
