Oracle introduces an industry AI agent builder, with U.S. access planned within a year

Oracle wants customers to build AI agents around the business processes they already run, rather than start from a blank page. On October 21, 2026, it introduced AI Agent Studio for Industry Applications, a no-code and low-code environment for building and managing those workflows. U.S. availability is planned within the next 12 months.

Industry templates, customized workflows

The offering builds on Oracle AI Agent Studio for Fusion Applications. Oracle says customers and partners will be able to use existing application data, tools and business processes, then embed agents into daily work.

Oracle says prebuilt industry agents, workflows, templates and reusable tools will reduce the need to create each use case from scratch. Customers can adapt those foundations around their own data, decisions, roles and policies.

For authoring, Oracle describes natural-language instructions and a visual workflow editor. Users can define roles, goals, tools, policies and operating context. Model choice is limited to supported models available through Oracle Cloud Infrastructure’s Enterprise AI service.

Connections stay within supported applications

The platform is designed to coordinate supported agents, tools and services across Oracle Industry and Fusion applications, working with Oracle Cloud Infrastructure. Oracle says this approach can reduce data movement and separate point-to-point integrations for supported use cases.

Model Context Protocol, or MCP, provides another connection route: servers expose approved Oracle Industry Application tools and capabilities for agents to reuse across use cases.

Oracle lists industries ranging from construction and retail to government, utilities and hospitality. Its illustrative uses include:

• Construction: identify schedule risks, find related field issues and propose mitigation steps for project teams.
• Retail: customize work involving images, product information and catalog management.
• Financial services: extend agents covering payments, affordability, analysis and customer preferences.

Testing the actions, not just the answers

Oracle’s testing and debugging tools are intended to check responses, actions and tool use before deployment. Teams can trace execution, inspect inputs and outputs, evaluate results and retest changes.

Security controls are meant to keep agents within configured permissions, policies and organizational roles. Lifecycle tools cover deployment and runtime management for supported use cases, while monitoring tracks execution, performance, reliability, usage and AI-unit consumption.