Oracle Expands Oracle AI Agent Studio for Fusion Applications, Providing Agentic Applications Builder and Workflow Tools
Oracle announced updates to Oracle AI Agent Studio for Fusion Applications, introducing the Agentic Applications Builder. This allows enterprises to build, orchestrate, and operate autonomous AI agents without coding, featuring workflow orchestration, content intelligence, context memory, and ROI measurement.
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- 📰 Published: April 14, 2026 at 21:40
- 🔍 Collected: April 14, 2026 at 13:01
- 🤖 AI Analyzed: April 19, 2026 at 17:14 (124h 12m after Collected)
Oracle AI World, London - April 14, 2026
(This document is a translated summary of a press release issued by Oracle Corporation in the United States on March 24, 2026.)
Oracle today announced the latest updates to the "Oracle AI Agent Studio for Fusion Applications," a development platform that comprehensively supports the building, orchestration, and operation of AI automation and agentic applications. This update to the "Oracle AI Agent Studio" includes the newly added "Agentic Applications Builder," along with new features to support workflow orchestration, content intelligence, context memory, and ROI measurement.
Chris Leone, Executive Vice President of Application Development at Oracle, stated: "As enterprises move beyond the proof-of-concept phase and accelerate the company-wide deployment of AI in earnest, it becomes crucial to optimize AI for their unique workflows, specialized domains, and operational priorities. Through the 'Oracle AI Agent Studio for Fusion Applications,' we will help our customers and partners build the foundation for a more autonomous enterprise. Developers can easily create AI automations and agentic applications powered by enterprise AI agents using natural language. These applications enable reasoning, action execution across various business systems, and continuous process operations. This allows them to evolve beyond mere dashboards and copilots into AI-powered applications that proactively drive business while meeting the governance, reliability, and security requirements demanded by enterprises."
The latest update to "Oracle AI Agent Studio" supports the new "Oracle Fusion Agentic Applications" and the rapidly expanding AI ecosystem of "Oracle Fusion Cloud Applications." By using "Oracle AI Agent Studio," organizations can easily build, orchestrate, and run AI automations and agentic applications while reusing agents from Oracle, partners, and external sources without the need for traditional application development. Furthermore, with built-in observability, ROI measurement, security, auditability, and governance, agents can deliver quantifiable value and operate at scale in a responsible manner. The latest updates include:
Agentic Applications Builder: Helps users build outcome-driven agentic applications leveraging agents from Oracle, partners, or external sources. The AI-powered, natural language-based environment allows users to select agents, configure workflows, and connect enterprise data without any coding or application development knowledge.
Workflow Orchestration: Supports organizations in reliably executing enterprise-class processes at scale across complex business operations. New orchestration capabilities allow users to coordinate task execution across multiple steps and multiple agents, leveraging rules, built-in logic, and human oversight to control the flow of work between steps.
Content Intelligence: Helps expand the scope of automation, improve decision-making quality, and maximize the value of enterprise data by integrating unstructured data (both internal and third-party) with transactional data. This transforms unstructured content into actionable contextual signals that agents can understand and act upon.
Context Memory: Helps automate not just single tasks but entire business operations, reducing repetition and manual effort, by allowing agents to remember context through interactions, workflows, and collaborations with other agents, and further learn from user behavior. Agents retrieve only the memory relevant to the specific task. Additionally, agents sharing context with each other improves coordination and outcomes across tasks.
LLM Multi-modality... [Text ends here in the source]
(This document is a translated summary of a press release issued by Oracle Corporation in the United States on March 24, 2026.)
Oracle today announced the latest updates to the "Oracle AI Agent Studio for Fusion Applications," a development platform that comprehensively supports the building, orchestration, and operation of AI automation and agentic applications. This update to the "Oracle AI Agent Studio" includes the newly added "Agentic Applications Builder," along with new features to support workflow orchestration, content intelligence, context memory, and ROI measurement.
Chris Leone, Executive Vice President of Application Development at Oracle, stated: "As enterprises move beyond the proof-of-concept phase and accelerate the company-wide deployment of AI in earnest, it becomes crucial to optimize AI for their unique workflows, specialized domains, and operational priorities. Through the 'Oracle AI Agent Studio for Fusion Applications,' we will help our customers and partners build the foundation for a more autonomous enterprise. Developers can easily create AI automations and agentic applications powered by enterprise AI agents using natural language. These applications enable reasoning, action execution across various business systems, and continuous process operations. This allows them to evolve beyond mere dashboards and copilots into AI-powered applications that proactively drive business while meeting the governance, reliability, and security requirements demanded by enterprises."
The latest update to "Oracle AI Agent Studio" supports the new "Oracle Fusion Agentic Applications" and the rapidly expanding AI ecosystem of "Oracle Fusion Cloud Applications." By using "Oracle AI Agent Studio," organizations can easily build, orchestrate, and run AI automations and agentic applications while reusing agents from Oracle, partners, and external sources without the need for traditional application development. Furthermore, with built-in observability, ROI measurement, security, auditability, and governance, agents can deliver quantifiable value and operate at scale in a responsible manner. The latest updates include:
Agentic Applications Builder: Helps users build outcome-driven agentic applications leveraging agents from Oracle, partners, or external sources. The AI-powered, natural language-based environment allows users to select agents, configure workflows, and connect enterprise data without any coding or application development knowledge.
Workflow Orchestration: Supports organizations in reliably executing enterprise-class processes at scale across complex business operations. New orchestration capabilities allow users to coordinate task execution across multiple steps and multiple agents, leveraging rules, built-in logic, and human oversight to control the flow of work between steps.
Content Intelligence: Helps expand the scope of automation, improve decision-making quality, and maximize the value of enterprise data by integrating unstructured data (both internal and third-party) with transactional data. This transforms unstructured content into actionable contextual signals that agents can understand and act upon.
Context Memory: Helps automate not just single tasks but entire business operations, reducing repetition and manual effort, by allowing agents to remember context through interactions, workflows, and collaborations with other agents, and further learn from user behavior. Agents retrieve only the memory relevant to the specific task. Additionally, agents sharing context with each other improves coordination and outcomes across tasks.
LLM Multi-modality... [Text ends here in the source]