Oracle announced Oracle AI Agent Studio for Fusion Applications, a comprehensive platform for creating, extending, deploying, and managing AI agents and agent teams across the enterprise. Part of Oracle Fusion Cloud Applications Suite, the new AI Agent Studio provides easy-to-use tools for customers and partners to create customized AI agents that address complex business needs and can help drive new levels of productivity.
“AI agents are the next phase of evolution in enterprise applications and just like with existing applications, business leaders need the flexibility to create specific functionality to address their unique and evolving business needs,” said Steve Miranda, executive vice president of applications, Oracle. “Our AI Agent Studio builds on the 50+ AI agents we have already introduced and gives our customers and partners the flexibility to easily create and manage their own AI agents. With the agents already embedded in Fusion Applications and our new AI Agent Studio, customers will be able to further extend automation and ultimately, achieve more while spending less.”
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Available at no additional cost, Oracle AI Agent Studio delivers easy-to-use tools, including advanced testing, robust validation, and built-in security, that will help Oracle Fusion Applications customers and partners create and manage AI agents. Leveraging the same technology that Oracle uses to create AI agents, Oracle AI Agent Studio enables users to easily extend pre-packaged agents and/or create new agents and then deploy and manage them across the enterprise. AI agents designed in the Oracle AI Agent Studio seamlessly integrate with Oracle Fusion Applications and can collaborate with third-party agents to complete complex and multi-step processes. Oracle AI Agent Studio includes:
- Agent template libraries: Enable users to create their own AI agents with pre-built templates paired with natural language prompts. Users can leverage the library of ready-made templates to support a variety of business scenarios, for example opportunity to quote, return order processing, or shift scheduling.
- Agent team orchestration: Enables users to set up multiple agents to work alongside people on complex tasks through pre-configured templates. For greater control, users can add checkpoints and approvals throughout multi-step processes.
- Agent extensibility: Enables users to modify and extend the 50+ pre-packaged Oracle Fusion Applications AI agents by adding documents, tools, prompts, or APIs to address their specific industry and business needs.
- Choice of LLMs: Enables users to access a variety of large language models (LLMs) to address specific business needs. Users can select from LLMs specifically optimized for Oracle Fusion Applications, such as Llama and Cohere, or plug in other external industry-specific LLMs for specialized use cases.
- Native Fusion integration: Enables users to quickly build enterprise-ready agents by providing direct access to Oracle Fusion Applications APIs, knowledge stores, and predefined tools without complex customizations. This deep integration automatically preserves enterprise-specific business logic within AI-powered workflows.
- Third-party system integration: Enables users to connect Oracle Fusion Applications AI agents to third-party agents through secure APIs that support both immediate next steps and long-running processes.
- Trust and security framework: Enables users to build and deploy agents that operate within a secure framework by requiring agents within the AI Agent Studio to always apply the latest Oracle Fusion Applications security configurations, policies, and access controls. This also allows users to build AI agents without the need to reconfigure security settings or sign new agreements.
- Validation and testing tools: Enables users to maintain trust and accuracy by verifying and monitoring results within AI-driven workflows. For example, built-in validation and testing tools help support reliability, repeatability, explainability, security, and performance of AI outputs.
Source: Oracle