How Oracle AI Agent Studio Aims to Transform Enterprise AI

AI agents are delivering measurable results for large enterprises across sectors. In financial services, procurement agents now process vendor contracts and invoices with minimal human oversight. Manufacturing firms deploy maintenance agents that monitor equipment performance and trigger service requests. Retail and logistics operations use orchestrated agent teams to optimise inventory and supply chain decisions.

These enterprise implementations are reporting significant operational improvements: reduced process cycle times, decreased operational costs and enhanced compliance accuracy.

Yet despite documented successes, technical complexity remains a substantial barrier to wider adoption, with many organisations struggling to scale beyond departmental pilots to enterprise-wide deployments that maintain security protocols and governance standards.

Oracle’s AI Agent Studio for Fusion Applications aims to address these adoption barriers. The platform, unveiled at Oracle CloudWorld in London, targets the orchestration challenges faced by large enterprises, with particular emphasis on reducing the technical expertise required to configure and deploy agent workflows.

The platform will extend Oracle’s existing AI capabilities within its Fusion Cloud Applications Suite, providing tools for customers and partners to create bespoke AI agents without additional licensing costs. The solution will allow businesses to automate complex multi-step processes while maintaining oversight through customisable checkpoints.

Steve Miranda, EVP of Applications at Oracle, described the release as part of the evolution of enterprise applications. “AI agents are the next phase of evolution in enterprise applications and just like with existing applications, business leaders need the flexibility to create specific functionality to address their unique and evolving business needs,” he said.

Oracle AI Agent Studio features target enterprise integration challenges

The platform includes template libraries for creating agents with pre-built frameworks. These templates support various business scenarios from opportunity quotes to return order processing and shift scheduling.

Users can orchestrate multiple agents to collaborate on complex tasks with options for checkpoints and approvals throughout multi-step processes, maintaining human oversight of automated workflows.

The Studio supports integration with various large language models including Llama and Cohere, which are optimised for Oracle Fusion Applications. Organisations can also connect external industry-specific LLMs for specialised use cases.

A distinctive aspect of the platform is its native integration with Oracle Fusion Applications. The AI Agent Studio provides direct access to Oracle Fusion Applications APIs, knowledge stores, and predefined tools without complex customisations.

This integration preserves enterprise-specific business logic within AI-powered workflows while operating within Oracle Fusion Applications security configurations, policies, and access controls.

Users can also connect Oracle Fusion Applications AI agents to third-party agents through secure APIs, supporting both immediate next steps and long-running processes across different systems.

The strategic value in AI agent architecture

Several Oracle partners have expressed support for the new platform. Lan Guan, Chief AI Officer at Accenture, noted the growing interest in agent-based approaches.

“AI-powered innovation is enabling our clients to reinvent processes and transform the way they work,” she says. “According to our recent research, agentic architectures featuring AI agents will enter the mainstream in 2025, with three times as many organisations planning to invest in these capabilities compared to 2024.”

Oracle's platform arrives at a time when organisations are grappling with managing AI across their operations. Mauro Schiavon, Global Chief Commercial Officer for Oracle Business at Deloitte Consulting, highlighted this challenge.

“With the rapid rise of AI agents, organisations are facing an ongoing challenge of how to manage and measure the impact of these digital workers,” Mauro said. “As leaders look to demonstrate the ROI of their AI investments, platforms like Oracle’s new AI Agent Studio can enable customisation that addresses unique business needs.”

The platform includes validation and testing tools to support reliability, repeatability, explainability, security, and performance of AI outputs. These features address enterprise concerns about AI governance and quality control.

The AI Agent Studio builds upon Oracle’s previously released AI agents, which now number more than 50. “With the agents already embedded in Fusion Applications and our new AI Agent Studio, customers will be able to further extend automation and ultimately, achieve more while spending less,” Steve explains.

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