Oracle AI Studio Bridges Gap From No-Code to Pro-Code Tech

Oracle is helping both software engineers and non-technical business users to build and run their own agentic applications with Oracle AI Agent Studio for Fusion Applications, which integrate core functions like finance, supply chain, HR and customer experience into daily workflows. 

The new unified framework runs directly inside Oracle’s enterprise ecosystem to inherit existing security, governance and compliance controls without the need to add them later. 

Rather than acting as reactive conversational copilots that sit on top of software, Oracle’s new agentic applications are complete, outcome-driven systems. They employ specialised teams of AI agents to coordinate, reason, make decisions and execute complex workflows natively.

Moving beyond systems of record

For decades, enterprise software has acted primarily as a system of record, a place where people manually input, track and manage data. 

Oracle is aiming to transform this setup into a system of autonomous execution.

“Enterprise software is moving beyond systems that record work to systems that actively drive and execute outcomes,” explains Chris Leone, Executive Vice President of Applications Development at Oracle. 

Chris argues that because these applications run natively inside Oracle Fusion, they automatically inherit the platform’s existing security, approvals and audit trails. 

“This is fundamentally different from building disconnected AI automations and then trying to bolt on enterprise controls later,” he says.

Bridging the gap: from no-code to pro-code

To make this technology accessible across entire organisations, Oracle has designed a unified builder experience that caters to all skill levels:

• For the business user (no-code): Employees can build and deploy agentic workflows using everyday natural language through the Agentic Applications Builder.
• For the engineer (pro-code): Developers can leverage the new AI Studio Skill to build using the tools they already use daily. This includes Visual Studio Code, standard command-line interfaces, Git-based workflows and advanced AI coding assistants like Anthropic’s Claude Code and OpenAI’s Codex.

For developers, this means there is no steep learning curve or proprietary lock-in. They can write, debug and push code using standard CI/CD pipelines, supported by a new public GitHub repository filled with templates, starter projects and sample architectures.

Solving the enterprise AI deployment hurdle

When AI applications are built outside the enterprise system, developers must separately solve complex issues like data access, identity and audit trails. By keeping the AI runtime entirely within Oracle Fusion, those capabilities are built-in from the start. 

Also, Oracle’s open execution model allows these systems to play nice with others; a company can seamlessly connect Oracle agents with custom-built or third-party agents. 

To support this rollout, Oracle is expanding its AI Agent Marketplace and already boasts a growing ecosystem of over 80,000 certified experts trained to help businesses deploy these systems.

Ultimately, whether the goal is accelerating a financial close, optimising a supply chain or resolving customer service issues, Oracle is betting that the future of enterprise productivity won’t be manual – it will be agentic.