Select AI Agent Use Cases

Select AI Agent supports practical scenarios across roles: connect external services, build task-focused automation with PL/SQL tools, and enable conversational access to data using natural-language interactions.

Use cases include:

• Integrate external APIs for enriched responses:

  Connect REST services such as shipping status, knowledge articles, or messaging. The agent blends external results with database facts and returns timely, actionable guidance.

• Build task-specific agents using PL/SQL tools:

  Create focused agents that call PL/SQL tools for updates, validations, or transformations, keeping logic close to data, improving performance, and simplifying maintenance across environments consistently. Wrap existing PL/SQL for updates and checks. Agents coordinate tasks, enforce parameters, and record outcomes while staying within transactional controls.

• Enable conversational access to enterprise data:

  Expose data through natural-language questions grounded on database objects. Use NL2SQL for retrieval, apply policies, and present findings clearly while respecting security and governance requirements. NL2SQL translates questions to SQL on approved objects. Agents summarize results and next steps while following object lists and access rules.