New suite brings ChatGPT, Codex and OpenAI models into Oracle’s business applications, application development tools, cloud infrastructure and security services.
Oracle and OpenAI are expanding their partnership to bring frontier AI capabilities deeper into enterprise operations, combining OpenAI models, ChatGPT and Codex with Oracle’s applications, business data and cloud infrastructure.
Announced at Oracle AI World 2026, the expanded collaboration introduces four offerings designed to help organizations execute business workflows through AI, develop enterprise applications with natural-language assistance, identify security vulnerabilities and give small businesses an integrated foundation for AI-powered operations.
The announcement reflects a broader shift in enterprise AI strategy: moving beyond standalone assistants towards AI embedded in business systems, where models can access approved data, interact with applications and help execute workflows under organizational controls.
ChatGPT becomes a gateway to Oracle applications
Oracle AI Workspace is designed to connect ChatGPT users with Oracle Fusion Applications, NetSuite, Oracle AI Database, Oracle Cloud Infrastructure (OCI) and other enterprise tools and data sources.
Employees will be able to describe business objectives and use ChatGPT integrations to retrieve information and complete approved workflows across connected systems. Oracle says the experience will retain enterprise governance, approval mechanisms and operational controls.
For organizations running complex business applications, the approach could reduce the friction involved in moving between systems to gather information and perform routine tasks. Its effectiveness will depend on how securely and reliably these integrations handle permissions, data access and business approvals.
Application development moves beyond specialist teams
Oracle App Composer combines Codex with Oracle’s application development and cloud capabilities, enabling employees without coding expertise to create applications for recurring business needs. Oracle will manage deployment and operations on OCI, while applications can connect to approved Oracle data and workflows.
The service incorporates enterprise identity, permissions, networking, auditing and lifecycle controls. It also supports APEXlang, an Oracle technology intended to make AI-generated applications easier to maintain.
The proposition is to shorten the journey from an employee’s idea to a deployed application without requiring every business user to manage the underlying infrastructure.
AI-assisted security testing
Oracle AI Security Mesh uses OpenAI cyber models alongside Oracle testing tools, validation mechanisms and operational safeguards to help customers identify and remediate vulnerabilities across OCI, other cloud environments and on-premises infrastructure.
Customers define authorized testing boundaries and control the scope of assessments, while Oracle manages the service and safeguards intended to limit operational disruption. The offering targets organizations seeking to apply AI to security testing without building and operating their own agentic testing systems.
“We are uniting their transformative AI capabilities with Oracle applications, data, and cloud infrastructure—technology that businesses around the world rely on to run their most critical operations.” — Clay Magouyrk, CEO, Oracle
A packaged AI offering for small businesses
Oracle AI SMB Bundle brings together ChatGPT Business, Oracle AI Workspace, Codex, App Composer, OCI and NetSuite QuickStart. The free-to-start package includes $12,000 in annual Oracle cloud credits, subject to terms, conditions and restrictions.
The bundle is designed to help smaller businesses use AI for everyday work, build applications and deploy them on cloud infrastructure, while NetSuite QuickStart provides a starting point for managing functions such as invoicing and cash flow.
Greg Brockman, President and Co-Founder of OpenAI, said the expanded partnership is intended to make AI more accessible through tools and systems businesses already use, helping teams accelerate software development, strengthen security and undertake more complex knowledge work.
Together, the announcements position AI as an operational layer across enterprise applications, development and security rather than a separate productivity tool. The commercial test will be whether organizations can translate these integrations into measurable productivity gains while maintaining the governance and reliability required for critical business processes.