Oracle Brings AI-Native Development to Fusion Cloud: Agentic Applications That Execute Enterprise Work

Oracle has introduced a new AI-native builder experience for Oracle AI Agent Studio for Fusion Applications, giving customers and partners the tools to build and run what the company is calling Fusion Agentic Applications — a new class of enterprise software that moves beyond recording transactions to actively driving and executing business outcomes.

A New Category: Fusion Agentic Applications

The distinction Oracle is drawing is pointed. Fusion Agentic Applications are not copilots bolted onto an existing interface, nor are they standalone automation scripts that pass data between disconnected systems. They are outcome-driven applications backed by teams of specialised AI agents that reason, coordinate, and make decisions — then execute that work directly through Fusion business objects, workflows, tools, policies, approvals, and logged actions.

Because they run natively inside Oracle Fusion Cloud Applications, they inherit the full stack of Fusion's enterprise controls: security and governance policies, role-based access, approval chains, and the audit trails that regulated industries require. That combination — autonomous agent reasoning paired with enterprise-grade auditability — is the core proposition. An agentic application that can spin up a procurement workflow or update a financial record while simultaneously satisfying an auditor's evidentiary requirements represents a meaningfully different architecture from general-purpose AI tooling.

One Framework, Three Development Tiers

The new builder experience collapses three historically separate development paths into a single Fusion-native framework:

• No-code: Business users and process owners can describe agentic workflows in natural language through the Agentic Applications Builder, creating agent teams without writing a line of code.
• Low-code: Functional consultants and citizen developers work in guided visual environments that expose Fusion business objects and workflow connectors as configurable building blocks.
• Pro-code: Engineers and ISV partners use the new AI Studio Skill to build with Visual Studio Code, standard CLI tools, Git-based workflows, and AI coding agents — explicitly including Codex and Claude Code — allowing them to bring AI-assisted development directly into the Fusion build process.

The intent is to eliminate the boundary between the people who understand a business problem and the people who can build a system to solve it. A process owner can prototype an agentic workflow in natural language; an engineer can extend, test, and deploy it using professional tooling — all within the same governed framework.

The Architecture Bet Oracle Is Making

"Enterprise software is moving beyond systems that record work to systems that actively drive and execute outcomes," said Chris Leone, Executive Vice President, Applications Development, Oracle. "With this new builder experience, customers and partners can build Fusion Agentic Applications that are backed by specialised agent teams and run natively inside Oracle Fusion Applications, where the business objects, workflows, security, approvals, and auditability already exist."

That framing reflects a broader architectural wager Oracle is placing: that the long-term winners in enterprise AI will not be vendors who offer the most capable standalone model or the most flexible API surface, but those who can embed intelligent execution inside the systems where enterprise work already happens. Fusion's depth — its coverage of ERP, HCM, SCM, and CX at a transactional level — gives Oracle a foundation for agent actions that a point-solution vendor cannot easily replicate.

Why This Matters for Agentic AI Adoption

The enterprise adoption of agentic AI has been slowed by a consistent set of objections: agents hallucinate, agents lack context about organisational policies, agents cannot be audited, and agents are hard for non-engineers to build or govern. Oracle's Fusion Agentic Applications architecture is structured as a direct answer to each of those concerns — grounding agent reasoning in live Fusion data, enforcing existing governance controls, logging every action, and providing a natural-language entry point for non-technical builders.

Whether the execution lives up to the architecture is a question the market will answer as early adopters deploy. But the design intent is clear: Oracle is positioning Fusion Agentic Applications not as an AI add-on, but as the next generation of enterprise software itself.