Oracle has introduced an AI-native builder experience for Oracle AI Agent Studio, enabling customers and partners to create, deploy, and govern enterprise-ready Fusion Agentic Applications directly within Oracle Fusion Applications.
Enterprise AI is entering a new phase, with organisations increasingly looking beyond experimentation and towards production-ready systems capable of executing real business outcomes.
Responding to this shift, Oracle has unveiled a new AI-native builder experience for Oracle AI Agent Studio for Fusion Applications, designed to help customers and partners build and run a new generation of enterprise applications.
Dubbed Fusion Agentic Applications, these applications are built around teams of specialised AI agents that can reason, coordinate, make decisions, and execute work using Oracle Fusion business objects, workflows, policies, approvals, and governance controls.
Unlike standalone AI agents or disconnected automation tools, Fusion Agentic Applications operate natively within Oracle Fusion Applications, allowing organisations to leverage existing security, governance, and audit capabilities without relying on separate runtime environments or additional infrastructure.
Oracle positions Fusion Agentic Applications as more than AI enhancements layered onto existing software. Instead, they represent a new class of enterprise application built specifically to deliver measurable business outcomes.
Potential use cases include accelerating financial close processes, improving collections, reducing service escalations, optimising workforce operations, and streamlining supply chain execution.
According to Chris Leone, Executive Vice President of Applications Development at Oracle, enterprise software is evolving beyond simply recording activity towards actively driving business outcomes.
He explained that the new builder experience enables organisations to create applications backed by specialised AI agent teams that operate directly within Oracle Fusion Applications, where business objects, workflows, security, approvals, and auditability are already established. This, he said, marks a fundamental departure from building disconnected AI automations and attempting to integrate enterprise controls afterwards.
Central to Oracle’s announcement is a unified development experience that combines no-code, low-code, and pro-code capabilities within a single framework.
Business users can begin building applications using natural language through the Agentic Applications Builder, while developers and partners have access to the new AI Studio Skill, enabling them to work with familiar development environments such as Visual Studio Code, standard command-line interfaces, Git-based workflows, and AI coding assistants including OpenAI Codex and Claude Code.
This allows organisations to accommodate builders with varying levels of technical expertise while maintaining consistent governance across every stage of development.
Oracle says the approach also helps accelerate the transition from AI prototypes to enterprise production by embedding identity management, approvals, observability, audit trails, governance, and lifecycle management directly into the runtime environment.
Alongside the new builder experience, Oracle has introduced several enhancements designed to support broader enterprise AI adoption.
Developers can now access reusable templates, starter projects, sample applications, reference architectures, and implementation guidance through a new public GitHub repository, helping accelerate development and validation.
Oracle is also expanding Oracle AI Agent Marketplace to include a growing catalogue of complete agentic applications alongside its existing portfolio of AI agents. At the same time, Oracle says more than 80,000 certified experts have now been trained in Oracle AI Agent Studio, creating a broader ecosystem to help organisations build, test, deploy, and manage AI across the enterprise.
The platform also supports interoperability between Oracle, partner, third-party, and custom-built AI agents, allowing organisations to coordinate work across multiple systems while remaining within Oracle Fusion Applications’ governance and security framework.
Industry leaders and analysts have welcomed Oracle’s latest announcement, highlighting the importance of bringing AI securely into core enterprise operations.
Lan Guan, Chief AI and Data Officer at Accenture, said organisations require trusted partners capable of unlocking the value of Oracle’s embedded AI quickly, adding that the new builder experience enables developers to work within familiar environments while helping enterprises govern and scale AI adoption with confidence.
Holger Mueller, Vice President and Principal Analyst at Constellation Research, described Oracle’s approach as redefining the next-generation application platform by combining application, platform, and agentic capabilities into a single builder experience. He noted that, unlike alternative approaches, Oracle keeps agents, security, APIs, access, and governance within one trusted platform.
Mauro Schiavon, Global Chief Commercial Officer for Oracle Business at Deloitte Consulting LLP, said many organisations face challenges not with AI technology itself, but with integrating it into business operations while maintaining security, oversight, and operational controls. Oracle’s native approach, he suggested, helps bridge that gap while supporting faster execution and improved operational efficiency.
Additional support came from IDC, where Senior Research Manager Zachary Chertok said Oracle is moving AI beyond copilots towards agentic systems capable of executing work within enterprise applications. He highlighted the platform’s governance, permissions management, and system controls as key enablers that allow employees with varying technical abilities to build and manage the AI agents their teams require.
Kevin Sullivan, Oracle Global Alliance Leader at PwC, added that embedding agentic capabilities directly into Fusion Applications allows organisations to move from AI experimentation to enterprise-wide adoption with greater confidence, while maintaining the operational oversight businesses expect.
Available at no additional cost for Oracle Fusion Applications customers and partners, Oracle AI Agent Studio provides orchestration, testing, validation, and built-in security tools for creating and managing AI agents and agentic applications. By using the same platform Oracle employs to develop its own AI capabilities, organisations can extend the company’s existing portfolio of more than 1,000 AI agents and 22 Fusion Agentic Applications, while building new solutions tailored to their own enterprise requirements
