One of the most powerful capabilities of the Oracle Agentic AI platform is the ability to run agents autonomously and make decisions in real time.
Fusion AI agents can collaborate to power agentic applications. Instead of building a purpose-built interface for every use case, the approach becomes outcome driven: define the outcome you want, and the application can identify the right team of agents, orchestrate the workflow on the fly, and deliver the result.
Fusion AI agents are autonomous mini powerhouses. MCP is excellent for abstracting infrastructure complexity and exposing endpoints. But consuming AI agents that encapsulate an end-to-end outcome, rather than simply chaining REST APIs, takes the experience to another level.
For curious engineers, Oracle documents how to invoke a Fusion AI Agent in headless mode through REST: Fusion AI Agent Team API.
It takes only two REST calls:
- Invoke the agent asynchronously and receive a job ID.
- Use the job ID to check completion status and retrieve the response.
It really is that simple. Every agent can be invoked using the same pattern.
In future posts, I’ll share real-world examples of how this can be applied.