The latest additions to AI Agent Studio for Fusion Applications help organizations expand the adoption of results-driven AI and measure value.
Oracle has announced the latest updates to Oracle AI Agent Studio for Fusion Applications, a complete development platform for creating, connecting, and running AI automations and agentic applications. The latest updates to Oracle AI Agent Studio include a new agentic application 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 adapt AI to their unique workflows, expertise, and operational priorities,” said Chris Leone, executive vice president of Application Development at Oracle. “With AI Agent Studio for Fusion Applications, we are helping customers and partners build the foundation for a more autonomous enterprise. Creators can develop AI automations and agentic applications using natural language, powered by enterprise AI agents capable of reasoning, acting on business systems, and continuously executing processes. This allows organizations to move beyond dashboards and co-pilots to AI-powered applications that actively manage the business—with the governance, trust, and security that enterprises demand.”
The latest updates to Oracle AI Agent Studio support the new Fusion Agentic Applications and the rapidly growing Fusion Applications AI ecosystem. With Oracle AI Agent Studio, organizations can now create, connect, and run AI automations and agentic applications using reusable agents from Oracle, partners, and external sources, without traditional application development. Furthermore, built-in observability, ROI measurement, security, auditability, and governance ensure that agents deliver measurable value and operate responsibly at scale. The updates include:
- Agentic Applications BuilderIt helps organizations build results-focused, agent-based applications from Oracle, partner, and external agents. The AI-powered, natural language-based environment helps users select agents, compose workflows, and connect enterprise data without traditional coding or application development requirements.
- Workflow orchestrationIt helps organizations ensure reliable, enterprise-level execution at scale across complex business processes. With new orchestration capabilities, customers can coordinate multi-stage, multi-agent executions with rules that control how work flows between stages, integrated logic, and human oversight.
- Content intelligenceIt helps organizations combine their own and third-party unstructured data with transactional data to enhance automation, improve decision-making, and unlock greater value from corporate insights. This helps organizations transform unstructured content into useful and contextual signals that agents can understand and act upon.
- Contextual memoryIt helps organizations automate end-to-end processes, not just isolated tasks, reducing repetition and friction by allowing agents to remember context across interactions, workflows, and agent-to-agent collaboration, as well as learn from user behavior. Only relevant memories are retrieved for a specific task, and agents can share context to improve task coordination and outcomes.
- LLM multimodal capabilitiesThey help organizations unlock insights and automate decisions using all forms of enterprise data, by enabling agents to process and generate non-textual inputs and outputs, including images, audio, and video.
- Monitoring, observability, and playground promptsThey help organizations build trust in agent deployments, iterate quickly, adjust prompts, and successfully scale agents to production by enabling real-time visibility, testing, and debugging of agent behavior and performance.
- Agent ROI DashboardIt helps organizations understand the business impact of AI initiatives, allowing them to measure the results and value delivered by agents. This includes insights into time saved, cost reductions, and productivity gains per agent, across workflows, teams, and business functions.
A growing network of Oracle-certified experts helps clients optimize AI.
With over 63,000 certified specialists 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.
Available at no additional cost, Oracle AI Agent Studio offers easy-to-use tools, including orchestration, advanced testing, robust validation, and built-in security, to help Oracle Fusion Applications customers and partners build and manage AI agents and agentic applications.
By leveraging the same technology Oracle uses to build AI agents and agentic applications, Oracle AI Agent Studio allows users to easily extend pre-packaged agents and applications and/or create new ones, then deploy and manage them across the enterprise. Agents and agentic applications designed in Oracle AI Agent Studio integrate seamlessly with Oracle Fusion Applications and can collaborate with third-party agents to complete complex, multi-step processes.
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“Organizations are recognizing that a ‘one-size-fits-all’ AI solution isn’t enough, and they need the flexibility to choose the right large-scale language model for each use case, while configuring solutions to meet unique business requirements,” said Lan Guan, chief AI and Data officer at Accenture. “The latest updates to Oracle AI Agent Studio expand the options available to our customers and help compose customized agentic applications.”
“Enterprise AI is rapidly evolving from task-based assistance to results-driven automation, and Deloitte clients want this shift delivered with the controls and accountability their businesses demand,” said Mauro Schiavon, Global Commercial Director, Oracle Business, at Deloitte. “Oracle and Deloitte are working together to help organizations build and run agentic applications at scale—connecting data, workflows, and governance with Oracle AI Agent Studio and the new Agentic Applications Builder.”
“To deliver real value, AI must be embedded into the systems on which companies already operate their businesses,” said Rob Fisher, Global Head of Advisory, KPMG International. “By connecting trusted AI agents directly to day-to-day workflows, Oracle is helping organizations put AI to work at scale and drive meaningful change across the enterprise.”
“As customers move from isolated AI use cases to enterprise-wide, results-focused AI, they need a development platform that can orchestrate workflows, manage context, and measure impact,” said Kevin Sullivan, Oracle Global Alliance Leader, PwC. “We’re excited that the expanded Oracle AI Agent Studio—including the new Agentic Applications Builder—creates a faster path to bringing PwC’s Agent Powered Performance engine to life for our customers, so they can quickly activate our existing assets and accelerators, streamline adoption, and measure value at scale across Fusion-based workflows.”
