Oracle is expanding its AI capabilities with the launch of the AI Agent Studio. A powerful platform designed to help enterprises automate complex multi-step processes with minimal technical barriers. Announced at Oracle CloudWorld in London. The new tool aims to make it easier for large organisations to deploy AI agents that drive measurable improvements across financial services, manufacturing, retail, and logistics.
AI agents are already delivering results for many enterprises. In financial services, procurement agents now process vendor contracts and invoices with little human intervention. Manufacturing firms rely on maintenance agents to monitor equipment and trigger service requests. While retail and logistics operations use orchestrated AI agent teams to optimise inventory and supply chain decisions.
The impact has been significant — enterprises report faster process cycle times, reduced operational costs, and better compliance accuracy.
Despite these wins, many companies struggle to scale beyond small pilot projects due to technical complexity and governance challenges. Oracle’s AI Agent Studio directly tackles this problem by offering a flexible, user-friendly platform. Built natively within Oracle Fusion Cloud Applications.
“AI agents are the next evolution in enterprise applications,” said Steve Miranda, Oracle’s EVP of Applications. “Business leaders need the flexibility to create functionality that solves their unique and evolving needs. And that’s exactly what AI Agent Studio enables.”
Key Features of Oracle AI Agent Studio Designed for Enterprise Needs
The AI Agent Studio offers pre-built templates and frameworks to speed up agent development for common business scenarios like quote generation, return order processing, and shift scheduling. Users can orchestrate multiple AI agents to work collaboratively, triggering human approvals or checkpoints as needed throughout the process.
Key features include:
- Seamless integration with Oracle Fusion APIs and tools
- Access to Oracle’s knowledge stores and security protocols
- Support for large language models (LLMs) like Llama and Cohere
- Compatibility with external, industry-specific LLMs for specialised tasks
- Secure API connections to third-party AI agents and systems
This design ensures every AI-powered workflow operates within Oracle’s strict security configurations and governance controls, addressing one of the biggest challenges enterprises face when scaling AI.
“Managing and measuring AI agent performance is a growing challenge for enterprises,” said Mauro Schiavon, Global CCO for Oracle Business at Deloitte Consulting. “Oracle’s AI Agent Studio provides the tools to customise AI agents while ensuring alignment with business logic, policies, and controls.”
Oracle’s move comes as industry momentum shifts toward agentic AI architectures. According to Accenture’s Chief AI Officer Lan Guan, the number of organisations planning to invest in AI agents is expected to triple by 2025.
“AI-powered innovation is transforming how our clients work,” Lan Guan shared. “Platforms like Oracle’s AI Agent Studio enable businesses to build, customise, and manage digital workers that deliver real ROI.”
The platform also includes validation and testing tools to ensure AI agents operate reliably, securely, and explainably — critical for regulated industries.
Oracle’s AI Agent Studio builds on the company’s growing portfolio of embedded AI agents — now numbering more than 50 pre-packaged agents within Oracle Fusion Applications — all available to existing Fusion Cloud customers at no additional cost.
“With AI Agent Studio, we’re giving customers the tools to extend automation, achieve more, and reduce costs — all within Oracle Fusion Cloud,” added Steve Miranda.
