Oracle Fusion AI Agents Studio

Theme: From Zero to Agent – Core Concepts & Quick Wins

• Introduction to AI Agents: Understanding the paradigm shift in Oracle Cloud automation.

• Getting Started with Oracle AI Agent Studio: Navigating the interface and understanding the studio environment.

• The Anatomy of an Agent: Exploring the core building blocks—LLMs, AI Agent Teams, AI Agent, Tools, and Topics.

• Real-World Application: Deep dive into high-value AI Agent use cases in ERP, HCM, and CX.

• Hands-On Lab 1: Rapid Deployment: Creating your first AI Agent using Oracle-delivered Best Practice Templates.

Theme: Securing Intelligence – Configuration & Roles

• Understanding AI Agent Security: Concepts of Role-Based Access Control (RBAC) within the Agent framework.

• Security Configuration Blocks: Analyzing policies, user roles, and data access requirements.

• Hands-On Lab 2: Runtime Security: Setting up security profiles and access controls for End Users from scratch.

• Hands-On Lab 3: Design-Time Security: Configuring specific Pillar-level security for Developersand Architects designing agents.

Theme: Deep Linking & Business Objects

• Understanding Deep Links: Mechanisms to drive user navigation within Oracle Fusion apps.

• Configuring Deep Links: Step-by-step setup of Deep Links within AI Agent Studio.

• Working with Business Objects: Overview of the Business Object (BO) structure and data availability.

• Business Object Setup: Configuring BOs from scratch for read/write operations.

• Hands-On Lab 4: End-to-End Build: Creating a Custom AI Agent utilizing the Business Object Tool and Deep Links for seamless user navigation.

Theme: Connecting the Ecosystem – External REST APIs

• External REST Tool Overview: Extending agent capabilities beyond Oracle Fusion.

• Strategic Integration: Identifying scenarios for External REST API usage versus internal tools.

• Security & Authorization: Configuring Authentication (OAUTH, Basic, API Key) for external connections.

• API Setup: Registering and configuring REST endpoints within the Studio.

• Hands-On Lab 5: Advanced Integration: Building a Custom AI Agent that authenticates and interacts with third-party systems via REST APIs.

Theme: Logic, Flow, and Language Mastery

• Architecture Patterns: Overview of different workflow types in AI Agent Studio.

• Workflow Strategy: Decision matrices for selecting the correct workflow type (RAG vs. Transactional).

• The Art of Prompt Engineering: Understanding how LLMs interpret instructions within the Studio.

• Best Practices: Designing effective system prompts to reduce hallucinations and improve accuracy.

• Hands-On Lab 6: Optimization Workshop: Applying advanced topic selection and prompt engineering techniques to refine agent responses.

Theme: Debug, Deploy, and Migrate

• Troubleshooting: How to debug AI Agents using trace tools and log analysis in the Studio.

• Introduction to Guided Journeys: Embedding agents into user workflows.

• Deployment Strategies: Configuring agents within Guided Journeys for specific UI pages.

• Migration Management: Best practices for migrating AI Agents between Test, Stage, and Production environments.

• Hands-On Lab 7: Go-Live Simulation: Deploying a fully functional AI Agent using Guided Journeys.

Theme: Monitoring, Evaluation, and Optimization

• Monitoring Options: Utilizing dashboards to track agent usage, latency, and error rates.

• Evaluation Frameworks: Methodologies to assess Agent correctness, relevance, and safety.

• Continuous Improvement: Feedback loops for refining agent performance over time.

• Hands-On Lab 8: Operations Command: setting up Observability metrics and performing a correctness evaluation on a live agent.

1. Pay Analyst AI Agent (Template-Based Deployment)

This hands-on demo shows how to rapidly deploy an AI agent by starting from an Oracle-delivered template and tailoring it to your organization’s needs. Participants will create a copy of the seeded Pay Analyst agent and preview it end-to-end, demonstrating how employees can ask questions and quickly understand their payslip details, deductions, and benefits in plain language.

Key capabilities you’ll configure and demonstrate:

• Template-based AI agent deployment: Clone a delivered agent, configure it, and make it ready for business users.

• Employee-friendly payroll explanations: Guide the agent to provide easy-to-understand summaries of earnings, deductions, and benefits.

• Tour of AI Agent components: Walk through the building blocks (what matters, what to change, and how to validate outcomes).

2. Procurement Automation AI Agent (Built from Scratch)

In this project, you will learn how to build a real business automation AI agent from the ground up. The agent collects a few guided inputs from the requester and automates the procurement flow—reducing manual entry, improving data quality, and accelerating the
path from requisition creation to downstream purchasing orders.

Key capabilities you’ll build and demonstrate:

• Guided intake for procurement requests: Capture what the user needs in a structured conversation.
• Business Objects + Fusion API orchestration: Create multiple business objects to read, create, and update Oracle Fusion data seamlessly.
• User-aware automation: Leverage delivered tools to identify the user and apply preferences to speed up requisition creation (less typing, fewer errors).
• End-to-end process experience: Demonstrate how AI agents can drive a complete business process using Fusion APIs—without needing users to navigate multiple screens.
• Custom Agent Development: Gain the expertise to build AI agents from the ground up, utilizing Fusion APIs to orchestrate complex procurement tasks.

3. Manager 360 Ops Insight AI Agent (Multi-Agent Supervisor Pattern)

This project teaches how to design a Supervisor AI Agent that provides managers a 360° overview of team responsibilities, workload, and operational activities—by orchestrating multiple specialised agents behind the scenes. It’s a practical, executive-friendly use case that shows how multi-agent design scales across teams and processes.

Key capabilities you’ll build and demonstrate:

• Supervisor agent orchestration: Design a “manager brain” agent that routes tasks to multiple supporting agents each focused on a specific operational area.
• Multi-Agent Team Deployment: Learn the architecture of building and deploying multi-agent teams, enabling parallel processing of complex management activities
• 360-Degree Team Insights: Provide managers with comprehensive visibility into team performance and activities, consolidating data into a single operational view
• 3rd-party intelligence integration: Build agents that connect to external tools (example: incident/ITSM systems) and apply intelligence to the fetched data for trends, risks, and priority calls.

4. Supplier Sync Workflow AI Agent (Workflow Automation + Controls)

In this project, participants create Workflow AI Agents from scratch to keep supplier data synchronised between Oracle ERP and a third-party application. The focus is on real-world workflow engineering: conditions, variables, validations, updates, exception handling, and notifications—so the solution is production-minded, not just a demo.

Key capabilities you’ll build and demonstrate:

• Supplier sync orchestration: Ensure supplier master data stays consistent across systems, reducing downstream payment, compliance, and onboarding issues.
• Workflow node configuration: Implement workflow nodes, apply conditional logic, set and pass variables, and drive outcomes based on business rules.
• Fusion Data Management: Create business objects specifically designed to update and maintain data records within Oracle Fusion applications based on workflow triggers.
• Automated Notifications: Enhance process visibility by configuring the workflow AI agent to send automated notifications to relevant stakeholders upon successful synchronisation or status changes