Get Started with AI Agent Studio

You can start with a preconfigured agent template or create your own agent team.

Here's a broad outline of the tasks involved in creating an agent team. You can edit these same components when using a preconfigured agent template.

Task	Details
Define tools	To effectively define the tools required by an agent, you need to first identify the types of questions users might ask and then decide which tools the agent needs to answer those questions accurately. These are the available tools: Oracle Fusion Cloud Applications business object - These business objects are data fields stored within Fusion Applications that AI agents can access as a part of agent configuration. Examples include the cost of a specific item, the time period that the benefits cover, and the date when a specific field was last updated by the user. AI agents can access Fusion Applications business objects, APIs, and rules without more configurations. You can control what data the agents can access. Just pick the business objects and their fields to use or ignore. AI agents respect native Fusion Applications security and role-based access controls, ensuring enterprise data protection and privacy. Document upload - You can upload specific documents to be used by the AI agent, and provide natural language instructions on how the agent should use these documents. The agent can then search for information in the documents to provide a more exact answer to a user's question. User profile - You can get information about the logged-in user, such as their geographic region or tenure at the company. Calculator - The calculator performs numeric computations, such as calculating time-off balances. Email - This tool can access the email client to send emails that include summaries of interactions or details pulled from a knowledge store. Deep link - A deep link will send a user directly to the part of Fusion Applications where they can update underlying information. For example, if the user moved and wants to update their home address in the HR system, a deep link can quickly route the user to the page for making that update.
Define topics	Topics define the focus of the agent to a specific area of expertise. For example, within Benefits Administrator agent, we might define topics such as health policy coverage, vision policy coverage, and benefits enrollment. Use Topics to efficiently streamline your interactions with the agent. Specify the instructions that help the agent decide which tools to use. Enable the agent to better understand user intent by letting it identify and select the relevant topic based on the user's question. Give each topic a clear, specific name, and include natural language instructions to ensure it's used correctly. You can reuse topics across agents.
Build new agents	Define the capabilities and scope of the agent. Agent name Product area the agent will work in Natural language instructions to allow the workflow, or other agents, to understand the capabilities of this particular agent
Add a user (human) in the loop	If required, add an approval step for some actions that your AI agent will perform. The review step can be added at any point in the process for oversight and control over key actions, such as sending an email or updating a record.
Test the agents	Make sure to test the agent before deploying to production. Ask a test query, and determine the accuracy and relevance of the agent's response. You can also see the instructions the agent is following, and the actions the agent has taken to arrive at the response.
Deploy the agent team	After defining and testing your agent team, you can deploy it directly from AI Agent Studio. Embed the agent conversation chat experience into any website or application. Trigger the agent from an external resource using Webhooks, or seamlessly embed the chat experience into HTML and React web pages.

RAG Agents to AI Agent Studio

If you've previously created any RAG agents in Fusion Applications, we recommend replacing your existing agent with a new one created in AI Agent Studio. For details, see Migrate Document Tools of RAG Agents.