AI & MACHINE LEARNING ENTERPRISE SOFTWARE

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

Techmediaglobal

| 5 min read

80,000+

CERTIFIED EXPERTS

BUILD MODES: NO-CODE & PRO-CODE

CORE FUNCTIONS: FINANCE, SUPPLY CHAIN, HR, CX

PUBLIC GITHUB REPO OF STARTER PROJECTS

Oracle is helping both software engineers and non-technical business users build and run their own agentic applications with Oracle AI Agent Studio for Fusion Applications, a new unified framework that integrates core functions like finance, supply chain, HR and customer experience directly into daily workflows, while inheriting existing enterprise security, governance and compliance controls from day one.

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, where specialised teams of AI agents coordinate, reason, make decisions and execute complex workflows natively rather than acting as reactive conversational copilots layered on top of software.

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

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. Business users can build and deploy agentic workflows using everyday natural language through the Agentic Applications Builder, with no coding required.

Engineers, meanwhile, can leverage the new AI Studio Skill to build using tools they already use daily — 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 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, and Oracle's open execution model allows these systems to interoperate 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.

Betting on an Agentic Future

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.

Key Takeaways

→Oracle AI Agent Studio embeds agentic workflows directly into Fusion Cloud Applications across finance, supply chain, HR and CX.
→Because agents run natively inside Fusion, they automatically inherit existing security, approvals and audit trails.
→Business users can build agentic workflows with natural language through the no-code Agentic Applications Builder.
→Developers can use the new AI Studio Skill with VS Code, Git and tools like Claude Code and Codex.
→A new public GitHub repository offers templates, starter projects and sample architectures for engineers.
→Oracle's expanding AI Agent Marketplace is backed by over 80,000 certified deployment experts.

Tags: AI Agents Enterprise Software Low-Code/No-Code Developer Tools Oracle Fusion Cloud Applications Automation