Oracle launches new updates to AI Agent Studio for Fusion Applications, adding Agentic Applications Builder, workflow orchestration, content intelligence, contextual memory, and ROI measurement for autonomous enterprise AI.
Quick Intel
Oracle today announced the latest updates to Oracle AI Agent Studio for Fusion Applications, a complete development platform for building, connecting, and running AI automation and agentic applications. The latest updates to Oracle AI Agent Studio include a new agentic applications builder as well as new capabilities that support workflow orchestration, content intelligence, contextual memory, and ROI measurement.
"As organizations move beyond pilots and begin operationalizing AI across the enterprise, they need the ability to tailor AI to their unique workflows, expertise, and operational priorities," said Chris Leone, executive vice president of Applications Development, Oracle. "With AI Agent Studio for Fusion Applications, we are helping customers and partners build the foundation for a more autonomous enterprise. Builders can create AI automations and agentic applications using natural language that are powered by enterprise AI agents capable of reasoning, taking action across business systems, and continuously executing processes. This enables organizations to move beyond dashboards and copilots to AI-powered applications that actively run the business, with the governance, trust, and security that enterprises require."
The latest updates to Oracle AI Agent Studio support the new Fusion Agentic Applications and rapidly growing Fusion Applications AI ecosystem. With Oracle AI Agent Studio, organizations can now build, connect, and run AI automation and agentic applications using reusable Oracle, partner, and external agents without traditional application development. In addition, built-in observability, ROI measurement, security, auditability, and governance ensure agents deliver measurable value and operate responsibly at scale.
The new Agentic Applications Builder helps organizations create outcome-focused agentic applications from Oracle, partner, and external agents. The AI-powered, natural language-based environment allows users to select agents, compose workflows, and connect enterprise data without traditional coding or application development requirements.
New workflow orchestration capabilities ensure reliable, enterprise-grade execution at scale across complex business processes. Customers can coordinate multi-step, multi-agent execution with rules that control how work moves between steps, built-in logic, and human oversight.
Content intelligence brings together unstructured first- and third-party data with transactional data to expand automation and improve decision-making. Contextual memory enables agents to remember context across interactions and workflows, reducing repetition while learning from user behavior and sharing relevant context for better coordination.
LLM multimodal capabilities allow agents to process and generate non-text inputs and outputs, including images, audio, and video. The monitoring, observability, and prompt playground features provide real-time visibility, testing, and debugging to build trust and scale agents effectively in production.
The new Agent ROI Dashboard helps organizations measure the business impact of AI initiatives, providing insights on time saved, cost savings, and productivity gains per agent across workflows, teams, and business functions.
With 63,000-plus certified experts trained in Oracle AI Agent Studio, customers can work with experienced partners to identify high-value use cases, accelerate deployments, and optimize AI performance and governance across the enterprise.
Oracle AI Agent Studio is available at no additional cost and delivers easy-to-use tools, including orchestration, advanced testing, robust validation, and built-in security. By leveraging the same technology that Oracle uses to create AI agents and agentic applications, users can easily extend pre-packaged agents and applications or create new ones, then deploy and manage them across the enterprise. AI agents and agentic applications designed in Oracle AI Agent Studio seamlessly integrate with Oracle Fusion Applications and can collaborate with third-party agents to complete complex and multi-step processes.
"Organizations are recognizing that one-size-fits-all AI is not enough, and they need the flexibility to choose the right large language model for each use case while configuring solutions to match unique business requirements," said Lan Guan, chief AI and Data officer at Accenture.
"Enterprise AI is evolving quickly from task-based assistance to outcome-driven automation, and Deloitte clients want that shift delivered with the controls and accountability their business requires," said Mauro Schiavon, Deloitte Global Chief Commercial Officer, Oracle Business.
"To deliver real value, AI should be built into the systems companies already run their business on," said Rob Fisher, Global Head of Advisory, KPMG International.
"As customers move from isolated AI use cases to outcomes-focused AI across the enterprise, they need a development platform that can orchestrate workflows, manage context, and measure impact," said Kevin Sullivan, Oracle Global Alliance Leader, PwC.
About Oracle Fusion Cloud Applications Oracle Fusion Cloud Applications provide an integrated suite of AI-powered cloud applications that enable organizations to execute faster, make smarter decisions, and lower costs. Oracle Fusion Applications include:
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