Oracle Fusion AI Agent
Oracle Fusion AI Agent: Author, Answer and Action Unified Enterprise Intelligence
In today’s rapidly evolving digital landscape, enterprises are under increasing pressure to streamline operations, improve user experiences and make faster, smarter decisions. Oracle addresses these challenges head-on with Oracle AI Agent Studio – a powerful platform designed and integrated within Oracle Fusion Cloud to help organizations Design, Deploy and Manage AI Powered Agents across the entire enterprise.
Structured around the pillars of Author, Answer and Action the platform empowers teams to create user-friendly agents, provide context-aware decision support and automate complex processes – all within a unified workspace
With a focus on Automation and Productivity, Oracle AI Agent Studio offers a complete set of tools to build intelligent agents that not only understand natural language, but also deliver personalized answers and take meaningful actions within business applications, enabling organizations to reduce manual tasks, improve accuracy and accelerate business workflows.
AUTHOR Build AI Agents Without Writing Code
What is AUTHOR?
- Drag-and-Drop Designer: Build agents using visual workflows without needing to code.
- Prebuilt Templates:Start quickly with templates for HR, Finance, Procurement, etc.
- Fusion Integration: Automatically aligns with roles, security, and business rules.
- Smart Logic: Define triggers, branching conditions, escalation paths, and data validations.
- Built-In Testing Tools: Validate and simulate agent behavior before deployment.
Example – Returns Policy Assistant (Author)
An HR or operations manager uses the visual flow designer to create a “Returns Policy Assistant.” They drag-and-drop elements to:
- Trigger on user queries.
- Ask follow-up questions (e.g., type of product, urgency).
- Fetch applicable policies from the knowledge base.
- Route unresolved queries to a human agent.
Business Impact:
Empower business users to create automatio.
Reduce dependency on developers
Deploy faster, adapt quicker
ANSWER Provide Contextual, Cited Knowledge
What is ANSWER?
- Natural Chat Experience: Ask questions using everyday language.
- Cited Responses: Every answer includes document references.
- Context-Aware: Takes into account user role, location, and workflow.
- Multidocument Support: Handles queries involving multiple policy sources.
Example – Returns Policy Assistant (Answer):
A warehouse manager types: “What’s the returns policy for urgent orders?” The agent searches internal SOPs and returns:
“Urgent orders must be returned within 7 days of delivery with supervisor approval.”
Business Impact:
Cuts search time
Reduces reliance on experts
Boosts compliance and confidence
ACTION Automate Complex Business Tasks
What is ACTION?
- Automated Task Execution: Agents complete tasks like approvals or order routing
- Supervised Actions: Allows for human review when needed.
- Task Orchestration: Supports multi-role and cross-departmental actions.
- Tool Integration: Agents use internal APIs, business objects, calendars, and more.
Example – Returns Policy Assistant (Action):
Once the return conditions are met, the AI agent:
- Fills in the return authorization form.
- Sends a notification to the logistics team.
- Schedules a pickup using integrated calendar tools.
- Updates the order status and logs the interaction.
Business Impact:
Turns knowledge into action
Reduces manual effort
Accelerates workflows
Real-World Use Case Summary Returns Policy Assistant
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Phase
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Function
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What It Does
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Author
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A manager creates a "Returns Policy Assistant" using the low-code designer.
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Answer
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It answers questions like “What’s the return window for high-value items?” using internal docs.
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It initiates the return process by submitting forms and notifying logistics.
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