Oracle Cloud AI Agent Studio Explained: How to Automate Business Processes

Oracle Cloud AI Agent Studio is a no-code platform within Oracle Fusion that lets businesses create conversational AI agents to automate HR, finance and operational tasks. These agents can retrieve data, submit transactions, answer document-based questions and integrate with external systems through natural language commands.

The platform differs from traditional chatbots by using large language models to understand intent and determine appropriate actions rather than following predefined question-answer flows.

• Part of Oracle Fusion applications since release 25B
• Enhanced in 25C and 25D with more agent types and features
• Doesn't require coding - uses visual tool configuration

Enabling AI Agent Studio requires two steps: First, submit an SR to Oracle Support to activate the feature on your instance (done separately for non-prod and prod environments). Second, configure your instance by enabling the 'Security Console External Application Integration' profile option, running two scheduled processes ('Import Resource Application Security' and 'Import User and Role Application Security'), and creating a custom role with the 'Manage HCM Intelligence Agent' privilege.

The activation process typically takes 1-2 weeks from SR submission to production availability, with non-production environments enabled first for testing.

• No additional licensing costs for predefined agents
• Production activation follows non-prod by 2 weeks
• Requires Fusion administrator access for configuration

Oracle AI agents can handle five main task types: 1) Business Object interactions (retrieve/post data to Fusion tables), 2) Deep Link navigation (direct users to specific screens), 3) Document processing (answer questions from uploaded files), 4) Email automation, and 5) External REST API integrations. Common use cases include submitting leave requests, retrieving payslips, answering policy questions and automating approval workflows.

Agents combine these capabilities to create multi-step processes - for example, an agent might first retrieve an employee's leave balance (Business Object), then submit a leave request (Business Object), then email the manager for approval (Email tool), all from a single natural language command.

• 124+ predefined agents available across HCM, Finance, SCM
• Agents work within user's existing security context
• Can combine multiple tools in single workflows

Oracle provides over 120 predefined agents across HCM, Supply Chain and Finance modules that are ready to use after copying and publishing. These cover common scenarios like absence management and payroll queries. Custom agents require building from scratch by defining Business Objects, Deep Links and Tools to create unique workflows tailored to your business processes.

Predefined agents offer faster implementation with Oracle-tested configurations, while custom agents provide flexibility for specialized requirements. Many organizations start with predefined agents for quick wins, then develop custom agents for differentiated processes.

• Predefined agents updated with each Oracle release
• Custom agents require more setup but enable unique automation
• Best practice: Copy predefined agents before customizing

Release 25C supports Llama models, while 25D adds GPT-5 Mini. You can also integrate third-party LLMs like Google Vertex AI or Azure OpenAI by adding credentials in the Credentials section. The LLM parses user questions, determines which tools to use, and formats responses based on predefined prompts that guide the agent's behavior.

LLM selection occurs at the Agent Team level, allowing different teams to use different models based on their needs. The Credentials section (new in 25D) provides a centralized way to manage third-party LLM integrations across all agents.

• Default: Llama (25C), Llama + GPT-5 Mini (25D)
• Can integrate Google, Azure, other LLMs via REST
• Prompt engineering critical for optimal performance

All agent interactions use the authenticated user's security context. The GetUserSession tool first identifies the logged-in user, then subsequent Business Object calls filter data based on that user's permissions. This ensures agents only access data the user could normally see in the Fusion interface.

Security is maintained through Oracle's standard role-based access control - agents inherit the same data restrictions as the user initiating the request. This prevents privilege escalation while enabling self-service automation.

• Uses same security model as Fusion UI
• GetUserSession tool required for all agents
• Data filtered by user's existing privileges

Starting with release 25D, Oracle partners can develop agents and submit them for validation to be listed in the Marketplace. Once approved, these agents appear alongside Oracle's predefined options, allowing customers to purchase and deploy specialized automation solutions without development effort.

The Marketplace provides a distribution channel for partners to monetize their AI Agent expertise while giving customers access to vetted, industry-specific solutions. Oracle handles the security validation and hosting of Marketplace agents.

• Marketplace launches with 25D release
• Partners must pass Oracle security review
• Expands available automation use cases

GrowwStacks helps businesses implement Oracle AI Agent Studio solutions including: 1) Environment configuration and activation, 2) Custom agent development for unique workflows, 3) Integration with external systems through REST APIs, 4) Performance optimization of agent prompts, and 5) Training for internal teams. Our consultants have deployed AI agents for leave management, invoice processing and employee self-service scenarios.

We offer free 30-minute consultations to assess your automation opportunities and develop an implementation roadmap tailored to your Oracle Fusion modules and business processes.

• Predefined agent deployment in 2-4 weeks
• Custom agent development in 4-8 weeks
• Ongoing optimization and support available