Oracle Unveils AI-Native Builder for Agentic Apps in Fusion Cloud

18 July 2026 (Business 2.0) — Oracle announced an AI-native builder experience for its Fusion Cloud Applications, enabling customers and partners to create agentic applications using no-code, low-code, and pro-code development tools within a unified governance framework.

The release, disclosed July 14, introduces what Oracle calls Fusion Agentic Applications—outcome-driven systems backed by teams of specialized AI agents that reason, coordinate, and execute work through Fusion business objects, workflows, and approval processes. The platform is available at no additional cost to Oracle Fusion Applications customers.

What Happened

Oracle's new builder experience integrates the Agentic Applications Builder for business users with an AI Studio Skill for developers. The AI Studio Skill supports Visual Studio Code, standard command-line interfaces, Git-based workflows, and AI coding assistants including OpenAI Codex and Claude Code.

The platform enables applications to run natively inside Oracle Fusion Applications without separate runtimes or external orchestration layers. A new public GitHub repository will provide templates, starter projects, sample applications, and reference architectures.

Oracle disclosed that more than 80,000 certified experts have been trained in Oracle AI Agent Studio. The company has delivered over 1,000 AI agents through Fusion Applications and launched 22 Fusion Agentic Applications earlier this year.

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Why It Matters

The announcement addresses a persistent challenge in enterprise AI adoption: moving prototypes to production. Organizations building AI applications outside their enterprise systems must separately solve identity management, data access, approvals, audit trails, and governance controls.

Oracle's approach embeds these capabilities into the runtime from the start. Fusion Agentic Applications inherit Fusion security controls, act against existing business objects and workflows, and provide auditability required for enterprise execution.

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The platform distinguishes itself from standalone agents, copilots, or disconnected AI automation tools by operating inside the enterprise system where work already happens. This native integration eliminates the need to bolt on enterprise controls after building AI automations externally.

Company Perspective

"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 specialized agent teams and run natively inside Oracle Fusion Applications, where the business objects, workflows, security, approvals, and auditability already exist. This is fundamentally different from building disconnected AI automations and then trying to bolt on enterprise controls later."

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The Oracle AI Agent Marketplace is expanding to support a catalog of agentic applications alongside its existing portfolio of AI agents, enabling customers and partners to extend enterprise processes using reusable agents, workflows, connectors, and templates.

Market Impact

Industry analysts positioned the release as a strategic shift in enterprise application platforms. "Oracle is redefining the next-generation application platform for the AI era by combining application, platform, and agentic capabilities in a single builder experience for professional and low-code developers," said Holger Mueller, vice president and principal analyst, Constellation Research.

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IDC senior research manager Zachary Chertok noted that Oracle is "pushing AI beyond copilots and advisors to deliver agentic systems that optimize process flows and execute work inside enterprise applications."

Major consulting firms signaled support for the platform. Accenture chief AI and Data officer Lan Guan said the builder experience "meets developers where they already work," while Deloitte Consulting global chief commercial officer Mauro Schiavon emphasized that the approach can "help bridge that gap" between AI pilots and production deployment.

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PwC Oracle global alliance leader Kevin Sullivan added that building agentic capabilities natively into Fusion Applications "enables secure, governed, real-time actions at scale, helping organizations move from experimentation to adoption with greater confidence."

What Comes Next

Oracle plans to release the public GitHub repository with developer resources to accelerate agentic application development. The company will continue expanding the AI Agent Marketplace catalog and supporting agent-to-agent interoperability with Oracle AI Data Platform agents, third-party agents, and custom-built systems.

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Source: Oracle press release

Sources include company disclosures, regulatory filings, analyst reports, and industry briefings.

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