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 agent applications. The latest update to Oracle AI Agent Studio includes a new agent application builder, as well as new features that support workflow orchestration, content intelligence, contextual memory, and ROI measurement.
Chris Leone, Oracle’s executive vice president of application development, said: “As organizations move beyond pilots and start deploying AI across the enterprise, they need the ability to tailor AI to their unique workflows, expertise, and operational priorities.” Build applications that enable organizations to move beyond dashboards and copilots to AI-powered applications that actively run their business with the governance, reliability, and security they need.”
The latest updates to Oracle AI Agent Studio support new Fusion Agentic Applications and the rapidly growing Fusion Applications AI ecosystem. Oracle AI Agent Studio enables organizations to build, connect, and run AI automation and agent applications using reusable Oracle, partner, and external agents without traditional application development. Additionally, built-in observability, ROI measurement, security, auditability, and governance ensure that agents deliver measurable value and operate responsibly at scale. Here are the latest updates:
- Agenttic application builder: We help organizations build outcome-focused agent applications from Oracle, partners, and external agents. The AI-powered, natural language-based environment allows users to select agents, create workflows, and connect enterprise data without the need for traditional coding or application development.
- Workflow orchestration: We help organizations ensure reliable, enterprise-grade execution at scale across complex business processes. New orchestration capabilities allow customers to orchestrate multi-step, multi-agent execution with rules, built-in logic, and human oversight that control how work moves between steps.
- Content intelligence: We help organizations integrate unstructured first-party and third-party data with transactional data to extend automation, improve decision-making, and derive more value from enterprise information. This allows organizations to transform unstructured content into usable, contextual signals that agents can understand and act on.
- Contextual memory: Reduce repetition and friction by helping organizations automate end-to-end processes, not just single tasks, and enable agents to remember context and learn from user behavior across interactions, workflows, and agent collaborations. Only memories relevant to a specific task are retrieved, and agents can share context to improve coordination of tasks and outcomes.
- LLM multimodal features: It helps organizations use enterprise data in all its forms to derive insights and automate decisions by enabling agents to process and generate non-textual inputs and outputs such as images, audio, and video.
- Monitoring, observability, and instant playground: By enabling real-time visibility, testing, and debugging of agent behavior and performance, we help organizations build confidence in agent deployments, iterate quickly, adjust prompts, and successfully scale agents in production.
- Agent ROI dashboard: Help your organization understand the business impact of your AI initiatives by enabling you to measure the outcomes and value your agents deliver. This includes insights into time savings, cost savings, and increased productivity per agent across workflows, teams, and business functions.
Expanding network of Oracle certified experts to help customers optimize their AI
With over 63,000 certified professionals trained on Oracle AI Agent Studio, customers can work with experienced partners to identify high-value use cases, accelerate adoption, and optimize AI performance and governance across the enterprise.
Available at no additional cost, Oracle AI Agent Studio provides easy-to-use tools such as orchestration, advanced testing, robust validation, and built-in security to help Oracle Fusion Applications customers and partners create and manage AI agents and agent applications.
By leveraging the same technology that Oracle uses to create AI agents and agent applications, Oracle AI Agent Studio enables users to easily extend prepackaged agents and applications or create new agents and applications, then deploy and manage them across the enterprise. AI agents and agent applications designed in Oracle AI Agent Studio integrate seamlessly with Oracle Fusion Applications and can work with third-party agents to complete complex multi-step processes.
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“Organizations are recognizing that one-size-fits-all AI is not enough, and they need the flexibility to choose the right large-scale language model for each use case, while configuring solutions to suit their 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 clients and make it easier to create customized agent applications.”
“Enterprise AI is rapidly evolving from task-based assistance to results-driven automation, and Deloitte customers want that change to happen with the control and accountability their businesses need,” said Mauro Schiavone, global chief commercial officer for Deloitte’s Oracle business. “Oracle and Deloitte are collaborating to help organizations build and run agent applications at scale, connecting data, workflow, and governance using Oracle AI Agent Studio and the new Agent Application Builder.”
“To deliver real value, companies need to embed AI into the systems in which they already operate their business,” said Rob Fisher, Global Head of Advisory at KPMG International. “By connecting trusted AI agents directly into everyday workflows, Oracle helps organizations leverage AI at scale and drive meaningful change across their businesses.”
Kevin Sullivan, Oracle Global Alliance Leader at PwC, said: “As clients move from individual AI use cases to enterprise-wide, outcomes-focused AI, they need a development platform that can orchestrate workflows, manage context, and measure impact.” “PwC’s Agent Powered We’re excited to create a faster path to bringing the Performance Engine to our customers, allowing them to quickly activate existing assets and accelerators, streamline deployment, and measure the value across Fusion-based workflows at scale.”
