1. How do I use AI Agent Studio?
  2. Get Started with AI Agent Studio

Get Started with AI Agent Studio

Use AI Agent Studio to create workflows consisting of one or more agents. Each agent can include multiple tools and topics, and workflows can also incorporate additional nodes available in the workflow builder. You can also create agentic apps that contain multiple specialized workflows. You can start with a preconfigured workflow or create a new workflow from scratch.

Here's a broad outline of the tasks involved in creating a workflow.

Task Details
Define resources Before creating agents, workflows, and agentic apps, you can create the resources that are to be used within them. Resources can include topics and tools required by the agent or workflow to answer questions, to connect to external sources, to send and receive emails, and so on. You can also specify the credentials to connect to external resources.
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 agentic flow, or other agents, to understand the capabilities of this particular agent
  • Tools and topics the agent will need to use. In addition to the tools and topics you created, you can also add the predefined ones.
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.
Build a workflow

Create a workflow and add the necessary artifacts to it, including agents, LLMs, and other nodes.
Test the workflows Make sure to test the workflows 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 workflow

After defining and testing your workflow, 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.

Here are some of the resources and artifacts you can create before creating your agents and workflows:

Tools:

  • Oracle Fusion Cloud Applications business object: Business Object tools allow AI agents to retrieve, update, create, or delete business object records within Fusion Applications. Using this tool, agents can securely access information or call specific functions in the application. You can control what data the agents can access, by selecting the business objects and fields to use or ignore. AI agents adhere to the native security and role-based access controls of Fusion Applications, ensuring protection and privacy for your enterprise data.
  • Connector: You can use this tool to connect your AI agents to various data sources such as SharePoint, web pages, and other custom content source.
  • Document tool: 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.
  • 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.
  • External REST: You can connect to internal and external SaaS applications or public APIs using External REST tool. To connect to internal and third-party services, add the authorization parameters. For example, you can retrieve the real-time weather information for a specific location by creating an External REST tool that connects to the appropriate external API.
  • MCP: You can use the Model Context Protocol (MCP) tool and securely connect to external MCP servers, without building additional REST wrappers or plugin logic.

Topics

Create topics with precise instructions that increase the effectiveness of your agents.

Connectors

Create connectors to connect your workflows to various data sources such as Microsoft Teams, Slack, SharePoint, web pages, and other custom content source.

To view the Microsoft Teams and Slack channels created before release 26C, go to AI Agent Studio, open the Credentials tab and then the Channels subtab. To use these channels in release 26C, create them from the Connectors tab.

For more information, see How do I use connectors in AI Agent Studio?