Use Oracle AI Agent Studio to build your first production-ready agent in Oracle Fusion. We will start from a template, add the Document tool for simplified RAG, then extend the agent with live data via Business Objects and REST APIs. Along the way, we will apply the newest 26A capabilities: MCP connectivity, Teams/Slack collaboration, AI Help Assistant, and chat file uploads with the multi-file processor.

I reviewed and analysed recent Oracle demos and 26A videos; the workflow below reflects what works in 2026 for ERP/SCM/HCM/CX teams. From our internal analysis, the rise of MCP across tools confirms Oracle’s move to agent ecosystems that connect securely to external systems while staying aligned to Fusion policies.

Use Oracle AI Agent Studio to build your first production-ready agent in Oracle Fusion. We will start from a template, add the Document tool for simplified RAG, then extend the agent with live data via Business Objects and REST APIs. Along the way, we will apply the newest 26A capabilities: MCP connectivity, Teams/Slack collaboration, AI Help Assistant, and chat file uploads with the multi-file processor.

Our team reviewed recent 26A demos and found the fastest path is: quick-start with documents, then add Business Objects for transactional data, validate, and deploy to Redwood or Guided Journeys with agent team orchestration as needed.

1. What Oracle AI Agent Studio is and how it works

2. Who should use Oracle AI Agent Studio

3. Step-by-step: quick-start agent with templates and documents

4. Step-by-step: extend with Business Objects and REST APIs

5. Orchestrating deep agent AI with agent teams and MCP

6. Testing and validation inside Oracle AI Agent Studio

7. Deployment to Redwood, Guided Journeys, and collaboration apps

8. Common mistakes and a troubleshooting checklist

What Is Oracle AI Agent Studio?

Oracle AI Agent Studio is a platform inside Oracle Fusion Cloud Applications to design, extend, test, and deploy AI agents and agent teams that operate with Fusion data, tools, and security. It includes agent templates, Document tool-based Retrieval-Augmented Generation (RAG), Business Objects, REST API tools, validation and testing tools, and deployment options across Redwood, Guided Journeys, and collaboration apps.

Who Should Use Oracle AI Agent Studio?

Fusion admins, solution architects, functional leads, and developers who need AI agents embedded in ERP, SCM, HCM, or CX. If you must combine knowledge from documents with live transactional data and keep policy alignment, AI Agent Studio gives you agent templates, tools, and native Fusion integration with a choice of LLMs such as Llama or Cohere.

How do I create a quick-start agent in Oracle AI Agent Studio?

The fastest path uses a template plus the Document tool.

1) Create from a template

• Open AI Agent Studio and choose an agent template that fits your function (for example, policy advisor or procurement helper).

• Set name, description, role, and core instructions.

2) Add the Document tool for simplified RAG

• Attach the Document tool to the agent.

• Upload files (PDFs, DOCX, spreadsheets) and run the multi-file processor to extract chunks and metadata.

• Enable citation settings so answers reference the source documents.

3) Seed starter questions and topics

• Add 3–6 starter questions that reflect how your users search.

• Define topics to steer the chat and reduce off-scope queries.

4) Test with chat and file uploads

• In Studio chat, upload one or more files to validate the multi-file processor.

• Verify that responses are grounded in documents and cite sources.

5) Use AI Help Assistant

• Ask the AI Help Assistant for prompt wording and tool configuration tips; it speeds iteration in 26A.

Suggested Visual: Screen capture of an agent template with the Document tool enabled, showing processed files and citations.

How do I extend an agent with Business Objects and REST APIs?

For live data, convert a tested REST API into a Business Object and expose it as a tool. The purchase order (PO) example is a reliable pattern.

1) Identify the right REST API

• From Fusion API docs, pick the PO endpoint that returns the fields you need (supplier, status, amounts).

2) Test and filter

• Use a REST client to test the endpoint, apply filters (status, date range), and confirm response size and fields.

3) Create a Business Object

• In AI Agent Studio, define a Business Object that maps to the API schema and includes only required fields.

4) Add a Business Object function

• Create a function for common queries, such as getOpenPOsBySupplier or getPOByNumber, with inputs and output schema.

5) Expose as a tool

• Publish the function as a tool the agent can call during conversations.

6) Attach the tool to your agent

• In the agent configuration, add the new tool and give example tool-use prompts.

7) Validate tool calls

• In chat, ask the agent to fetch a PO; confirm tool invocation, parameter mapping, and returned fields.

8) Align security

• Ensure the agent inherits Fusion security policies; users should only see data they are authorized to access.

Key Takeaways

• Test the REST API first, then model it as a Business Object.

• Keep schemas minimal and functions narrowly scoped.

• Validate tool calls with realistic prompts and edge cases.

Suggested Visual: Sequence diagram of agent prompt → tool call → REST API → response → grounded answer.

How do I orchestrate Deep agent AI with agent teams and MCP?

Use agent teams to coordinate multi-step work across agents and humans, often called Deep agent AI. In 26A, you can add checkpoints and approvals, and connect external tools via Model Context Protocol (MCP) where permitted.

• Agent teams: compose specialized agents (for example, policy advisor, data retriever, summarizer) with defined hand-offs.

• MCP connectivity: call external tools or services via MCP for tasks like lookups or transformations, while keeping Fusion context.

• Collaboration: enable Microsoft Teams or Slack so users can ask the team questions from daily workflows.

Our team reviewed current industry signals showing MCP adoption across creative and assistant tools; this aligns with Oracle’s approach to agent interoperability inside enterprise guardrails.

How do I test and validate agents in Oracle AI Agent Studio?

Use built-in validation and testing tools to maintain reliability.

• Golden questions: create a set of prompts and expected behaviors to regression-test changes.

• Tool tracing: review tool-call logs, parameters, and error messages.

• Guardrails: constrain topics, require citations, and set escalation rules for uncertain answers.

• Performance checks: watch latency for large document sets; chunk big files.

• LLM choice: try Llama or Cohere variants for your task; measure answer quality and cost profiles.

How do I deploy to Redwood, Guided Journeys, and collaboration apps?

After validation, expose the agent where work happens.

• Redwood: place the agent on a Redwood page or embed via Visual Builder components.

• Guided Journeys: trigger the agent inside task flows to assist users contextually.

• Deep links: distribute deep links to open the agent with preset context.

• Teams/Slack: enable the integration so users can chat with the agent from collaboration apps.

• Deployment target: Redwood page

How to surface: Widget or Visual Builder

When to use: Always-on assistance

• Deployment target: Guided Journeys

How to surface: Step/task trigger

When to use: Process guidance

• Deployment target: Teams/Slack

How to surface: Channel or bot entry

When to use: Quick Q&A and alerts

Suggested Visual: Simple table or mockup showing the agent embedded in a Redwood page and a Guided Journey step.

Plain-text CTA: Save this deployment checklist to your runbook and pilot in a non-production pod before enabling for broader teams.

Common mistakes and troubleshooting checklist

Visual for: How do I deploy to Redwood, Guided Journeys, and collaboration apps?

• Overloading documents: split large PDFs and ensure clear titles for better citations.

• Vague prompts: define the agent role and constraints explicitly.

• Unscoped Business Objects: keep functions focused, validate fields, and set required parameters.

• Missing approvals: add checkpoints when agent actions have financial or HR impact.

• Security surprises: always test with end-user roles, not admin, to verify real access.

• Tool errors: if a tool call fails, recheck API filters, response shape, and Business Object mappings.

• Collaboration drift: define which queries are suitable for Teams/Slack versus in-app Redwood use.

Frequently asked questions

What is Oracle AI Agent Studio in Oracle Fusion Cloud Applications?

Oracle AI Agent Studio is a design, testing, and deployment workspace for AI agents within Oracle Fusion Cloud Applications. It provides agent templates, Document tool-based RAG, Business Objects, REST API tools, agent teams, validation utilities, and deployment options like Redwood pages, Guided Journeys, deep links, and collaboration integrations.

How do I use the Document tool for simplified RAG?

Attach the Document tool to your agent, upload files, and run the multi-file processor to extract searchable chunks. Enable citations so users see source references. Seed starter questions that mirror real user intents. Test with chat, including file uploads, to confirm answers are grounded in documents.

How do I connect external systems via MCP?

In 26A, agents can call external tools through Model Context Protocol when configured. Define the external capability, map inputs/outputs, and enforce checkpoints. Keep sensitive actions inside Fusion with approvals, and use MCP for well-bounded lookups or transformations your agent team needs.

Which LLMs can I use with Oracle AI Agent Studio?

You can choose from LLMs suited for enterprise use, including options like Llama or Cohere. Match model selection to task types: retrieval-heavy Q&A, structured data grounding, or summarization. Always validate answer quality, latency, and cost behavior for your workload before production.

How do I secure agents so users see only authorized data?

Agents respect Fusion security configurations. Validate with end-user roles to confirm data visibility, restrict tools to least privilege, and require citations and escalation for uncertain answers. For Business Objects, expose only necessary fields and functions, and test access paths before publishing widely.

How do I deploy agents to Redwood or Guided Journeys?

For Redwood, add the agent to a Redwood page or embed it via Visual Builder components. For Guided Journeys, trigger the agent within steps so help appears contextually. Use deep links for targeted entry points, and enable Teams/Slack integration for quick Q&A from collaboration apps.

What are common ai agents use cases in Fusion?

Popular ai agents use cases include policy and benefits Q&A (HCM), supplier and PO status checks (SCM/Procurement), invoice exception triage (ERP), and knowledge-assisted customer replies (CX). These blend document-grounded answers with live data fetches using Business Objects and REST API tools.

How do I debug a failing tool call from the agent?

Use testing and validation tools to inspect the tool trace, parameters, and response shape. Re-test the underlying REST API with the same filters, confirm Business Object field mappings, and simplify function inputs. Add example prompts that demonstrate correct tool usage, then re-run golden questions.

What is deep agent ai and when should I use agent teams?

Deep agent ai refers to multi-step, orchestrated workflows across multiple agents and humans. Use agent teams when tasks require specialization, checkpoints, or external calls via MCP. Add approvals for high-impact actions, and keep each agent’s role narrow to improve reliability and auditability.

Can I use Teams or Slack with Oracle AI Agent Studio agents?

Yes. In 26A, agents can be made available through Microsoft Teams or Slack so users can ask questions from daily collaboration tools. Define which intents are supported there, guide users to in-app Redwood or Guided Journeys for complex flows, and monitor usage to refine prompts and tools.