TLDR: Oracle has significantly expanded its AI Agent Studio for Fusion Applications, introducing a new AI Agent Marketplace, extending support for leading Large Language Models (LLMs), and leveraging a vast network of certified AI agent experts. These enhancements aim to accelerate enterprise AI adoption, streamline operations, and boost productivity across various business functions.
LAS VEGAS – October 15, 2025 – At Oracle AI World, Oracle today unveiled substantial enhancements to its AI Agent Studio for Fusion Applications, a comprehensive platform designed for building, testing, and deploying AI agents and agent teams across the enterprise. These updates are set to expand the Oracle Fusion Cloud Applications AI ecosystem, featuring a new AI Agent Marketplace, extended support for a diverse range of Large Language Models (LLMs), and a robust network of Oracle-certified AI agent experts.
The newly launched Oracle Fusion Applications AI Agent Marketplace allows customers to seamlessly deploy Oracle-validated, partner-built AI agents directly within their Oracle Fusion Applications. This native integration, unlike other AI agent marketplaces, enables users to access, test, and deploy third-party AI agents within existing workflows, thereby accelerating automation, enhancing productivity, and tackling complex, industry-specific business challenges. The marketplace will be enriched by seeded partner templates embedded in Oracle AI Agent Studio.
Oracle has also broadened its LLM support within the AI Agent Studio for Fusion Applications, now including leading models from OpenAI, Anthropic, Cohere, Google, Meta, and xAI. This flexibility empowers customers to tailor their AI-powered experiences to unique requirements and business processes, fostering greater AI adoption and innovation.
Further bolstering its AI ecosystem, Oracle highlighted its network of over 32,000 certified experts. These professionals have undergone rigorous training to build effective agents within Oracle AI Agent Studio, ensuring customers can leverage high-performing agents and optimize AI across their workflows. This growing network is expected to contribute new expert-built agents and templates to the AI Agent Marketplace, providing validated, secure, and trusted AI agents ready to transform business processes.
Chris Leone, executive vice president of Applications Development at Oracle, emphasized the strategic importance of these developments. “Organizations are grappling with rising business complexity and the urgent need to accelerate AI adoption,” said Leone. “By building a comprehensive AI ecosystem centered around Oracle Fusion Applications, we’re giving customers the flexibility to address complex challenges swiftly, securely, and confidently. The AI Agent Marketplace and other enhancements to the AI Agent Studio enable our customers to supplement the embedded AI agents in Fusion Applications with validated, industry-specific capabilities from our growing AI ecosystem of systems integrators and independent software vendors.”
The announcements also detailed new AI agents embedded across Oracle Fusion Cloud Applications, covering critical areas such as ERP/EPM (e.g., payables, ledger, planning), HCM (e.g., team sync, talent advisor, Oracle Career Coach), SCM (e.g., quote-to-requisition, fulfillment), and CX (e.g., deal advisor, escalation prediction). For instance, Oracle Career Coach, built using AI Agent Studio, leverages agentic AI in Oracle Cloud HCM to analyze candidate backgrounds, skills, and interests to improve job matching and boost applicant quality.
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Enhancements to the AI Agent Studio itself include new deep monitoring and evaluation capabilities, a real-time dashboard, token usage tracking, telemetry for agent behavior, and built-in evaluation tools. Oracle is also introducing support for deterministic agent workflows, blending AI flexibility with operational predictability by allowing users to define precise sequences of actions. These features underscore Oracle’s commitment to bringing AI agents in line with existing enterprise governance standards, treating them as integral SaaS software components with enhanced security and management visibility.
