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Oracle introduces AI Agent Studio for Industry Applications

Source Decision Insights Record Published October 21, 2026 Companies 3
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3 companies named across 2 categories, one of 80 articles referencing Oracle. Previous coverage: Oracle to Subscribe to Part of Point Beach Power Arrangement (Oct 2026).

Companies mentioned

Best suited for

Seniority
Director
Job function
Data Analytics / Data Science / AI / Machine Learning and Data Science
Persona
Data / AI Platform Architect
Buyer role
Architect / Technical Evaluator
Decision stage
Which to buy
Adoption curve
Early Adopters
Technology maturity
Accelerated Attention
Industry
Information Technology / AI Infrastructure / AI Platforms, MLOps & Operations / AI Application & Agent Development Platforms

Our classification, not the publisher's statement. Best suited for, not only for.

Oracle has described a new platform that lets customers and partners build, extend, deploy, and manage AI agents tied to industry-specific business processes. The stated aim is to reduce manual effort and raise productivity by placing agents inside everyday work.

The platform supports a broad range of use cases in engineering and construction, retail, finance, restaurants, government, utilities, communications, and hospitality. It builds on Oracle AI Agent Studio for Fusion Applications and draws on existing application data, tools, and business processes. The stated goal is to move adoption from pilot projects toward practical, scalable use.

Prebuilt agents, workflows, templates, and reusable tools serve as starting points, and customers and partners can configure them around their own data, decisions, roles, and policies. Agents are created and extended through a no-code and low-code environment using natural language instructions and visual workflow editing. Responses, actions, and tool use can be tested and debugged before deployment.

The platform coordinates agents and multi-agent workflows across Oracle Industry Applications, Oracle Fusion Applications, and OCI, which can reduce the need to move data or build point-to-point integrations. Agents connect to approved tools through Model Context Protocol servers, and users choose from supported generative AI models. Guardrails keep agents within configured permissions, and execution and usage metrics are monitored.

“For organizations to realize the value of AI agents, they need confidence in how those agents make decisions, access data, and operate within business controls,” said Kevin Sullivan, Global and US Oracle Alliance Leader, PwC. “Oracle AI Agent Studio for Industry Applications brings industry context together with testing, monitoring, and configured access controls, helping organizations build governance into their workflows as they expand AI adoption.”

“AI agents create value when they can work within the processes, data, and controls that define how an industry operates,” said Simon de Montfort Walker, executive vice president, Industry Applications, Oracle. The offering is planned to become available within the next 12 months in the U.S., with expansion to all supported OCI Enterprise AI regions planned over time.

Press release, provided by Cision on behalf of Oracle. Read the original.

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