Oracle AI Agent Studio: Build, Test, and Trust Workflow-Driven Agents for Fusion Applications

Oracle AI Agent Studio helps teams build, test, and deploy workflow-driven agents for Fusion Apps using templates, open standards, and guardrails. Faster delivery and clear results.

Categorized in: AI News IT and Development
Published on: Oct 24, 2025
Oracle AI Agent Studio: Build, Test, and Trust Workflow-Driven Agents for Fusion Applications

Oracle AI Agent Studio: build, test, and deploy workflow-enabled agents for Fusion Applications

AI Agent Studio gives your team a straightforward way to automate more of your business with AI agents. You can build, test, and ship agents that plug into Fusion Applications and beyond, while keeping control over scope, data access, and outcomes.

The latest demo shows how the platform adds a standards-first ecosystem, workflow-enabled agents, and stronger measurement and oversight. For IT and development teams, that means faster delivery with clearer guardrails and predictable results.

Key takeaways

  • AI Agent Studio is the AI development platform for Fusion Applications to build, test, and deploy automation agents.
  • Hundreds of templates from Oracle and partners give you a head start via the built-in AI Agent Marketplace.
  • New observability and testing features improve trust, governance, and performance tracking across agent lifecycles.

What you'll see in the demo

Marie, a power user in a shared service center, explores agent templates inside AI Agent Studio, including partner-delivered options from the AI Agent Marketplace. She reviews controls that constrain agent scope, add tool access, and define permissions.

She selects the Quote-to-Purchase Requisition Assistant, a workflow-enabled agent team that converts supplier quotes into purchase requisitions in Oracle Self Service Procurement. The visual workflow shows how it ingests a supplier quote, analyzes it, and calls specific Fusion Apps data and functions to create a requisition.

Marie customizes the workflow: she adds a human approval step and removes an unnecessary email notification, then publishes the agent. As an end user, Eric uploads a supplier quote PDF; the agent parses the file, validates key fields, and asks for confirmation before creating the requisition.

Why it matters for IT and development

  • Open, standards-based ecosystem: Use open standards like the Model Context Protocol (MCP), Agent-to-Agent (A2A) Protocol, and REST APIs to integrate with Fusion and non-Fusion apps. Choose LLMs from OpenAI, Meta, Cohere, or bring your own (Anthropic, Google, xAI, etc.).
  • AI Agent Marketplace: Install Oracle-tested, Oracle-supported partner templates from within AI Agent Studio to accelerate delivery.
  • Workflow-enabled agents: Build deterministic, workflow-driven agents with branching, triggers, and nodes that connect worker agents, apps, LLMs, and vector databases. Expect consistent outputs for the same inputs and reasoning steps that interpret unlabeled fields (e.g., treating a number as a SKU).
  • Explainable and measurable AI: A unified testing framework supports semantic accuracy checks, trace visualization, A/B comparisons, dataset management, performance monitoring, token usage, debugging, and agent-level guardrails.

What this enables

  • Predictability and control: Deterministic workflows reduce output variance while still leveraging LLM reasoning. Human-in-the-loop steps add clear approval points.
  • Faster delivery with templates: Start from partner or Oracle templates, then customize workflows, tools, and policies for your org.
  • Enterprise governance: Traceability, quantitative evaluation, and guardrails help satisfy security, compliance, and audit requirements.
  • Flexible architecture: Open standards and REST mean you can connect third-party systems without brittle glue code.

Practical next steps

  • Review Marketplace templates for your top automation candidates (procurement, finance, HR, service requests).
  • Define guardrails: data sources, tool access, approval steps, and escalation paths.
  • Use the testing framework to build datasets, run A/B agent comparisons, and track semantic accuracy before go-live.
  • Monitor production: performance, token usage, traces, and error rates; iterate on workflow nodes and policies.

AI Agent Studio is included with your Fusion Applications subscription. With an open ecosystem, workflow-enabled agents, and built-in evaluation tools, your team can deliver reliable agent-driven automation with less guesswork.

Want structured upskilling for your team on agent workflows, evaluation, and guardrails? Explore the AI Automation Certification from Complete AI Training.


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