Your Comprehensive Guide to Building Enterprise AI Agents

Welcome to our comprehensive learning path for Fusion AI Agent Studio! This blog series is designed to guide you at every stage of your AI journey – whether you are new to the platform or aiming to optimize your AI agent workflows within Oracle Fusion Cloud Applications. 

Each article will walk you through key concepts, best practices, and practical solutions, with easy-to-follow steps and deep-dive resources for continued learning. Our goal is to make building, configuring, and deploying AI agents simple, secure, and impactful for your organization.

Follow along as we break down complex topics and empower you to get the most out of Fusion AI Agent Studio.

1. Overview

2. Getting Started

3. Hierarchical Agents

Tool Types in Hierarchical Agents

4. Workflow Agents

Workflow Agents – Node Types

💡 Technical Solutions for Workflow Agents

Explore practical technical solutions and implementation examples:

5. Monitoring, Evaluation, and Traceability (METRO)

Evaluations

Monitoring and Tracing

  • Monitoring: Dashboards & Metrics, Accuracy, Latency, Token Usage [Coming Soon]
  • Execution Timeline, Metadata, and Context [Coming Soon]

6. Connecting the Ecosystem

  • InvokeAsync API: Accessing Agents Externally [Coming Soon]
  • Agent-to-Agent (A2A) Communication and Agent Card Configuration [Coming Soon]
  • Using Model Context Protocol (MCP) [Coming Soon]

7. Prompt Engineering

8. Miscellaneous Topics

Start Your Fusion AI Agent Studio Journey!

Explore the comprehensive modules above and master the art of building intelligent, enterprise-grade AI agents. Each topic in this series will provide you with in-depth tutorials, practical examples, and expert guidance to transform your organization’s automation capabilities.

Built In. Not Bolted On.