Oracle Fusion 26B: Building Agentic Apps Using AI Agent Studio
Enterprise applications are entering a new era where AI agents collaborate to solve complex business problems. With the 26B release of Oracle Fusion Applications, Oracle introduces the ability to build Agentic Apps using Oracle AI Agent Studio.
This capability enables organizations to design intelligent applications powered by multiple AI agents, each specialized in a particular business domain.
What Are Agentic Apps?
An Agentic App is an application where multiple AI agents work together to perform tasks, analyze business data, and recommend actions.
Instead of relying on a single AI model, organizations can create domain-specific agents such as:
Procurement Agent
Inventory Agent
Finance Agent
HR Agent
Each agent focuses on a specific area while collaborating with other agents to deliver contextual business insights.
This approach enables enterprises to automate complex workflows and improve decision-making.
How Agentic Apps Work in Oracle Fusion
The architecture typically follows a layered model.
1. Business User Interaction
Users interact with the system through the modern Redwood UI experience or the Ask Oracle interface.
Example query:
“Why are purchase orders delayed this week?”
2. Agentic App Layer
The request is handled by an Agentic App, which orchestrates multiple AI agents.
The application determines which agents should participate in answering the question.
3. AI Agents Collaboration
Different agents collaborate to gather information and generate insights.
Example:
| Agent | Responsibility |
|---|---|
| Procurement Agent | Analyze purchase orders |
| Inventory Agent | Check stock availability |
| Finance Agent | Verify payment status |
Each agent analyzes relevant enterprise data.
4. AI Agent Studio Coordination
Agents are created and managed using Oracle AI Agent Studio.
Agent Studio allows organizations to:
Create domain-specific agents
Define agent teams
Configure agent collaboration
Enable agents to be used inside applications
Once configured, these agents can be reused across multiple enterprise workflows.
Steps to Enable Agent Teams for Applications
To use agents in Agentic Apps, the following configuration is required:
Open AI Agent Studio
Navigate to Agent Teams
Select the agent team to configure
Open the Details tab
Enable the option:
Use in Apps
Save the configuration
Once enabled, the agent team becomes available for building Agentic Apps.
Enterprise Architecture Overview
An Agentic App architecture integrates users, agents, and enterprise data systems.
Business User
│
▼
Agentic App
│
▼
AI Agent Team
(Procurement / Inventory / Finance Agents)
│
▼
Oracle Fusion Applications
ERP • SCM • HCM • CX
OTBI • APIs • Business Objects
Agents retrieve enterprise data and generate AI-driven insights and recommendations.
Example Business Scenario
Consider a procurement delay scenario.
A user asks:
“Why is supplier delivery delayed?”
The agents collaborate as follows:
| Agent | Analysis |
|---|---|
| Procurement Agent | Reviews supplier shipment status |
| Inventory Agent | Checks impact on inventory |
| Finance Agent | Verifies payment holds |
The system then generates a recommendation such as:
Insight
Supplier shipment delayed by three days.
Suggested Action
Expedite delivery or switch to an alternate supplier.
Business Benefits
Agentic Apps bring several advantages to enterprises.
1. Intelligent Automation
AI agents can automate complex decision workflows.
2. Domain Expertise
Each agent specializes in a particular business function.
3. Scalable AI Architecture
Organizations can add new agents as business needs grow.
4. Faster Decision Making
AI-generated insights help teams respond quickly to operational issues.
Why Agentic AI Matters for Enterprise Systems
Traditional ERP systems focus on recording transactions.
Agentic AI transforms ERP into a decision-making platform by enabling systems to:
analyze business events
recommend actions
automate responses
This shift represents a major step toward AI-driven enterprise operations.
Final Thoughts
The introduction of Agentic Apps in Oracle Fusion 26B represents a significant milestone in enterprise AI adoption.
By combining AI agents, enterprise data, and modern user interfaces, organizations can build intelligent applications that deliver real-time insights and automation.
For ERP professionals and enterprise architects, this capability opens new possibilities for designing AI-first enterprise solutions.
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Oracle Fusion Cloud
AI in ERP
Enterprise AI architectures
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