Oracle has introduced a new AI Native Builder experience in Oracle AI Agent Studio for Fusion Applications. This update enables customers and partners to create and run Fusion Agentic applications within Oracle Fusion Cloud Applications.
Builder combines no-code, low-code, and pro-code development in a single framework within Fusion Applications. Business users can get started with natural language with Agentic Applications Builder, and developers can use their new AI Studio skills with tools like Visual Studio Code, command-line interfaces, Git workflows, and coding assistants like Codex and Claude Code.
Oracle is positioning this release around the broader transition of business software from systems that record transactions to software that can perform and complete actions. Fusion Agentic Applications are described as results-oriented business applications supported by a group of specialized AI agents that perform work by coordinating tasks through Fusion business objects, workflows, policies, approvals, and logged actions.
Oracle says the applications run within the existing enterprise software stack, which is different from standalone AI agents or external automation tools. As a result, Fusion Applications inherits the security settings, governance controls, and audit trails that already exist, rather than relying on separate infrastructure and orchestration layers.
Chris Leone, Oracle’s executive vice president of application development, clarified the company’s position on this matter.
“Enterprise software is moving from a system that records work to one that proactively drives and executes results. This new builder experience enables customers and partners to build Fusion Agentic Applications supported by a team of dedicated agents and leverage Oracle Fusion where business objects, workflows, security, approvals, and auditing capabilities already exist. You can run it natively within your applications, which is fundamentally different from building decoupled AI automation and trying to add enterprise controls later.”
developer tools
At the heart of this announcement are AI Studio skills that extend the environment beyond Oracle’s proprietary interfaces to 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 agent applications.
Oracle also provides reusable resources such as templates, starter projects, sample applications, and reference architectures through public GitHub repositories. The goal is to provide customers and partners with pre-built components for testing and deployment within their Fusion environment.
The system also supports interoperability between Oracle, partners, third parties, and custom agents. This enables agents from Oracle AI Data Platform, external suppliers, and customer-built systems to operate within the same execution environment under the control of Fusion Applications.
production focus
This release addresses a recurring problem for companies experimenting with AI in back-office systems: moving projects from prototype to production. Oracle argued that AI applications built outside of a company’s core enterprise software often require separate work around identity, data access, approval processes, audit trails, observability, governance, and lifecycle management.
Oracle seeks to ease the burden of integration by placing agent applications within Fusion Applications. This runtime already includes the necessary business objects, workflows, and control layers for enterprise use and can help organizations implement AI-driven processes in finance, human resources, supply chain, and customer operations.
According to Oracle, this broad platform currently includes more than 1,000 AI agents delivered through Fusion Applications and 22 Fusion Agentic Applications launched earlier this year. Additionally, more than 80,000 certified professionals are currently trained in Oracle AI Agent Studio to help organizations build, test, deploy, and manage AI across the enterprise.
Partner’s reaction
The consulting and analyst firm framed the launch as an attempt to make AI development more practical within established business systems. Some emphasize the value of building monitoring and governance into the application environment rather than adding it later.
“Enterprise AI is advancing rapidly, and our clients need a trusted partner who can quickly unlock the full value of Oracle’s embedded AI.Oracle’s new builder experience will deliver where developers are already working, while Chua helps clients enable, manage, and scale these AI-powered capabilities. Together, we are helping clients move from AI potential to enterprise-wide impact faster than ever before,” said Guan.
Holger Mueller, vice president and principal analyst at Constellation Research, focused on Oracle’s decision to keep application logic and control in one place.
“Oracle is redefining next-generation application platforms for the AI era by consolidating application, platform, and agent capabilities into a single builder experience for professional and low-code developers. Unlike alternative approaches that build agents outside of application platforms, Oracle keeps agents, security, APIs, access, and governance all within a well-defined, trusted, and proven modern application platform,” said Mueller.
Deloitte also pointed to operational concerns that often slow AI adoption in large organizations.
“Enterprise customers are looking for a practical way to move AI from pilot to production. In many cases, the challenge is not the technology itself, but how to integrate it into core business operations with appropriate security, monitoring, and operational controls. By enabling agent applications to be created within Applications’ existing controls and workflows, Oracle can help bridge that gap, support faster execution, and increase operational efficiency while maintaining the control and oversight that enterprises expect.” Schiavon said.
“Organizations are eager to unlock the potential of agent AI in business applications. By embedding agent capabilities natively into Fusion Applications, Oracle enables secure, controlled, real-time actions at scale, helping organizations move from experimentation to deployment with more confidence. Combined with PwC’s deep industry expertise, these capabilities will help deliver tangible business value with greater reliability and operational oversight,” said Sullivan.
