Oracle has introduced a new AI-native builder experience for Oracle AI Agent Studio for Fusion Applications, enabling enterprises to create and deploy Fusion Agentic Applications directly within Oracle Fusion Cloud Applications. The launch represents Oracle’s latest push beyond AI assistants toward autonomous business applications capable of reasoning, coordinating, and executing enterprise workflows while operating within the security, governance, and compliance controls of its cloud platform.
Oracle is deepening its investment in enterprise artificial intelligence with the introduction of a new AI-native development experience designed to simplify how organizations build, govern, and deploy autonomous business applications.
Announced as part of Oracle AI Agent Studio for Fusion Applications, the new builder experience enables customers and implementation partners to develop Fusion Agentic Applications—a new category of AI-powered enterprise software that combines teams of specialized AI agents with Oracle’s existing Human Capital Management (HCM), Enterprise Resource Planning (ERP), Supply Chain Management (SCM), and Customer Experience (CX) applications.
Unlike standalone AI assistants or workflow automation tools that operate outside enterprise systems, Fusion Agentic Applications execute directly inside Oracle Fusion Cloud Applications. Because they run natively within Oracle’s application environment, they inherit existing identity management, security controls, governance policies, approval workflows, and audit capabilities without requiring additional infrastructure.
The announcement reflects a broader shift across enterprise software as vendors move beyond conversational AI toward autonomous systems capable of completing complex business processes with limited human intervention.
Oracle describes Fusion Agentic Applications as outcome-driven software designed around business objectives such as accelerating financial close, improving collections, streamlining workforce operations, reducing customer service escalations, and optimizing supply chain execution. Rather than simply generating recommendations, these applications coordinate multiple AI agents that reason, make decisions, and execute approved workflows using existing Fusion business objects and enterprise processes.
A central component of the launch is a unified builder experience that supports no-code, low-code, and professional-code development within the same framework. Business users can create applications using natural language through the Agentic Applications Builder, while developers can use the new AI Studio Skill with familiar engineering tools including Visual Studio Code, command-line interfaces, Git-based development workflows, and AI coding assistants such as OpenAI Codex and Claude Code.
The combination reflects Oracle’s effort to bridge the growing gap between citizen developers and professional software engineering teams by enabling both groups to collaborate on AI-powered enterprise applications.
Oracle also introduced new resources intended to accelerate enterprise AI development, including reusable templates, reference architectures, starter projects, sample applications, and a public GitHub repository supporting Fusion Agentic Application development. These assets are designed to reduce implementation complexity while encouraging organizations and partners to build reusable AI solutions.
Another notable enhancement is expanded interoperability across Oracle’s AI ecosystem. Organizations will be able to coordinate Oracle-built, partner-developed, third-party, and custom AI agents within the same governed execution environment. Oracle says this approach allows external AI services to participate in enterprise workflows while maintaining centralized governance, permissions management, and operational oversight.
The company is also expanding its Oracle AI Agent Marketplace, which will now include complete agentic applications alongside reusable AI agents, connectors, workflows, and templates. Oracle says more than 80,000 professionals have already been certified on Oracle AI Agent Studio, reflecting growing enterprise demand for AI development skills.
The announcement positions Oracle alongside other enterprise software providers rapidly expanding agentic AI capabilities. Microsoft has introduced autonomous agents across Microsoft Copilot Studio and Dynamics 365, Salesforce continues expanding its Agentforce platform, while SAP, ServiceNow, Google Cloud, and Amazon Web Services (AWS) are all investing heavily in AI agents designed to automate enterprise operations.
Oracle’s differentiation lies in embedding autonomous execution directly inside business applications rather than orchestrating AI through external platforms. By keeping identity, data access, governance, audit trails, approvals, lifecycle management, and business workflows within the Fusion environment, Oracle aims to address one of the most persistent barriers to enterprise AI adoption: moving experimental AI projects into production without compromising security or compliance.
Industry analysts increasingly identify governance as a defining requirement for enterprise AI deployments. According to IDC, organizations are shifting from AI experimentation toward production systems that require robust permissions management, observability, policy enforcement, and operational oversight. Gartner similarly predicts that agentic AI will become a major focus of enterprise software investment as businesses seek automation capable of delivering measurable operational outcomes rather than isolated productivity gains.
The launch also drew support from Oracle’s consulting ecosystem. Accenture, Deloitte, and PwC each emphasized the importance of integrating AI into core enterprise workflows while maintaining governance and regulatory controls. Their endorsements highlight the growing role of systems integrators in helping organizations operationalize agentic AI at scale.
For enterprise technology leaders, Oracle’s latest announcement signals a broader evolution in business software. Rather than treating AI as an add-on feature or standalone chatbot, vendors are increasingly embedding autonomous decision-making directly into mission-critical enterprise applications. As organizations seek to automate increasingly complex business operations, platforms capable of combining AI execution with enterprise-grade governance may become the next competitive frontier in cloud applications.
Market Landscape
Enterprise AI is rapidly evolving from conversational assistants to agentic AI capable of autonomously executing business workflows. Gartner predicts that agentic AI will become a foundational capability across enterprise software over the next several years, while IDC expects organizations to prioritize governed AI platforms that combine automation with security, compliance, and lifecycle management. Competition is intensifying among Oracle, Microsoft, Salesforce, SAP, ServiceNow, Google Cloud, and AWS, with vendors racing to integrate AI agents directly into enterprise applications rather than deploying them as standalone services.
Top Insights
- Oracle introduced a unified AI-native builder enabling enterprises to create Fusion Agentic Applications that execute business workflows directly inside Oracle Fusion Cloud Applications.
- The platform combines no-code, low-code, and professional development tools, allowing business users and software engineers to collaboratively build governed AI applications.
- Native execution within Oracle Fusion Applications eliminates many deployment challenges by providing built-in identity management, governance, approvals, auditability, and security controls.
- Expanded interoperability enables Oracle, third-party, partner, and custom AI agents to coordinate work within a trusted enterprise runtime environment.
- The launch reflects a wider industry shift toward agentic AI, where autonomous software performs complex business operations rather than simply assisting human users.
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