Overview of AI Agents and Agentic Apps

Use AI agents and agentic apps in Oracle Permitting and Licensing to help agency staff, inspectors, and public users complete work more efficiently. AI functionality can summarize inspection information, answer questions about application records, generate communication text, review submitted information, monitor workload trends, and recommend next actions.

Oracle delivers AI agents for Public Sector Compliance and Regulation in AI Agent Studio under the PSC family. Agencies can use delivered agents as provided, copy delivered templates to create agency-specific agents, or configure AI functionality that’s embedded directly in application pages and workflows. Some agents use Retrieval-Augmented Generation (RAG) documents that agencies provide to support responses with agency-specific reference content.

You can use the topics in this chapter for Public Sector-specific implementation guidance, including offering-level AI setup, security considerations, page integration, and setup for delivered AI experiences in Oracle Permitting and Licensing.

Note:

For general information about using AI Agent Studio, see Oracle AI for Fusion Applications: How do I use AI Agent Studio? in the foundation documentation for Oracle Fusion Cloud Applications. For information about access requirements for AI Agent Studio, see Provide Access to Configure AI Agents in Oracle Permitting and Licensing.

How AI Functionality Is Implemented

AI functionality in Oracle Permitting and Licensing can be delivered in several ways. The setup you complete depends on how users access the AI experience and whether the agent is embedded, template-based, scheduled, invoked by configuration, or part of an agentic app.

AI Functionality Type

Description

Typical Setup

Embedded AI functionality

AI is part of an existing page, drawer, or business flow. Users don’t copy a template or add the agent to a page.

Enable AI functionality for the applicable offering, configure security, and verify the experience.

Template-based AI agent

A delivered template is copied or used in AI Agent Studio, then configured for your agency.

Enable AI functionality, configure security, copy or use the template, publish the agent, and connect it to a page, tile, or other access point.

Page-integrated AI agent

An AI Assist button or similar control is added to an extensible application page.

Configure the agent in AI Agent Studio, then use Visual Builder Studio to associate the page or fragment with the agent code.

Runnable or workflow agent

A delivered workflow agent runs from a configured trigger, button, page action, or Business Rules Framework event.

Enable AI functionality, configure security, and complete the product-specific setup for the trigger or action.

Scheduled AI agent

A workflow agent runs on a schedule and produces output such as email notifications.

Configure the agent in AI Agent Studio, set runtime values, configure recipients, schedule the workflow, and publish the agent.

Agentic app

A task-focused application experience coordinates multiple workflow agents and presents analysis, recommendations, and actions in one workspace.

Enable AI functionality, configure security, and verify access to the workspace.

For example, the Permit Health Monitor uses AI Agent Studio, OTBI permit metrics, runtime values, email nodes, and a schedule to send proactive permit workload notifications. The Code Enforcement Reported Incident Review Assistant is a runnable agent that can be invoked through a Business Rules Framework action.

The Code Enforcement Incident Workspace is an example of an agentic app. For more information, see Implementing Agentic Apps.

Monitoring and Evaluating Agents

Agencies can use metrics to help estimate and visualize the tangible ROI of their AI initiatives. You can track deployment, usage, and estimated time and cost savings for your published workflows in one view using the Visual dashboard. This dashboard provides a consolidated view of your AI fleet, performance by Oracle Fusion Cloud Applications products, and metrics for individual workflows. For more information, see Monitor and Evaluate AI Agents and View the Measured Value of Agents.