Oracle has introduced a new AI-native builder experience for Oracle AI Agent Studio for Fusion Applications. The update lets customers and partners create and run Fusion Agentic Applications inside Oracle Fusion Cloud Applications.
The builder combines no-code, low-code and pro-code development in a single framework within Fusion Applications. Business users can start with natural language in the Agentic Applications Builder, while developers can use a new AI Studio Skill with tools including Visual Studio Code, command-line interfaces, Git workflows and coding assistants such as Codex and Claude Code.
Oracle is positioning the release around a broader shift in business software, from systems that record transactions to software that can take and complete actions. Fusion Agentic Applications are described as outcome-focused business applications supported by groups of specialised AI agents that coordinate tasks and execute work through Fusion business objects, workflows, policies, approvals and logged actions.
Oracle says that differs from standalone AI agents or external automation tools because the applications run inside its existing enterprise software stack. As a result, they inherit the security settings, governance controls and audit trails already present in Fusion Applications, rather than relying on separate infrastructure and orchestration layers.
Chris Leone, executive vice president of applications development at Oracle, set out the company's position on that distinction.
"Enterprise software is moving beyond systems that record work to systems that actively drive and execute outcomes. 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," Leone said.
Developer tools
A central part of the announcement is the AI Studio Skill, which extends the environment beyond Oracle's own interfaces into common software development tools. Developers and partners can use local validation, debugging and CI/CD workflows alongside Git-based lifecycle management when building agents and agentic applications.
Oracle will also provide reusable resources such as templates, starter projects, sample applications and reference architectures through a public GitHub repository. The aim is to give customers and partners pre-built components for testing and deployment inside the Fusion environment.
The system also supports interoperability across Oracle, partner, third-party and custom agents. That would allow agents from Oracle AI Data Platform, outside suppliers and customer-built systems to work within the same execution environment under the controls of Fusion Applications.
Production focus
The release addresses a recurring issue for companies experimenting with AI in back-office systems: moving projects from prototypes into live operations. Oracle argued that AI applications built outside a company's core enterprise software often require separate work on identity, data access, approval processes, audit trails, observability, governance and lifecycle management.
By placing agentic applications inside Fusion Applications, Oracle is trying to reduce that integration burden. The runtime already includes the business objects, workflows and control layers needed for enterprise use, which could make it easier for organisations to deploy AI-driven processes in finance, human resources, supply chain and customer operations.
Oracle said the wider platform now includes more than 1,000 AI agents delivered through Fusion Applications and 22 Fusion Agentic Applications launched earlier this year. It also said more than 80,000 certified experts are now trained in Oracle AI Agent Studio to help organisations build, test, deploy and manage AI across the enterprise.
Partner reaction
Consulting and analyst firms framed the launch as an attempt to make AI development more practical within established business systems. Several highlighted the value of embedding oversight and governance into the application environment rather than layering them on later.
"Enterprise AI is moving fast, and our clients need a trusted partner that can rapidly unlock the full value of Oracle's embedded AI. Oracle's new builder experience meets developers where they already work, while Accenture helps clients turn on, govern, and scale these AI-powered capabilities. Together, we're helping clients move from AI potential to enterprise-wide impact-faster and with greater confidence than ever before," Guan said.
Holger Mueller, vice president and principal analyst at Constellation Research, focused on Oracle's decision to keep application logic and controls in one place.
"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. Unlike alternative approaches that build agents outside the application platform, Oracle keeps agents, security, APIs, access, and governance all within a well-defined, trusted, and proven modern application platform," Mueller said.
Deloitte also pointed to operational concerns that often slow AI adoption in large organisations.
"Enterprise clients are looking for pragmatic ways to move AI from pilots into production. The challenge is often not the technology itself, but how to integrate it into core business operations with appropriate security, oversight, and operational controls. By enabling organizations to create agentic applications within the existing controls and workflows of Oracle Fusion Applications, Oracle can help bridge that gap, support faster execution, and help improve operational efficiency while maintaining the control and oversight enterprises expect," Schiavon said.
"Organisations are eager to unlock the potential of agentic AI in their business applications. By building agentic capabilities natively into Fusion Applications, Oracle enables secure, governed, real-time actions at scale, helping organizations move from experimentation to adoption with greater confidence. Combined with PwC's deep industry expertise, these capabilities help deliver tangible business value with greater reliability and operational oversight," Sullivan said.