Oracle unveiled significant updates to its Oracle AI Agent Studio for Fusion Applications, enhancing the platform for building, testing, and deploying AI agents and agent teams across enterprises. These enhancements expand the Oracle Fusion Cloud Applications AI ecosystem, introducing a new AI Agent Marketplace, broader LLM support, advanced agent-building resources, and a vast network of Oracle-certified AI agent experts.
“Organizations are grappling with rising business complexity and the urgent need to accelerate AI adoption,” said Chris Leone, executive vice president of Applications Development, Oracle. “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.”
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Accelerating Enterprise AI with the AI Agent Marketplace
The newly launched Oracle Fusion Applications AI Agent Marketplace allows customers to seamlessly deploy Oracle-validated, partner-built AI agents directly within Oracle Fusion Applications. By embedding partner templates in Oracle AI Agent Studio, the marketplace helps organizations accelerate automation, boost productivity, and address complex, industry-specific challenges efficiently. Unlike other marketplaces, Oracle’s is fully integrated into Fusion Applications, enabling users to test, install, and manage both third-party and Oracle pre-built agents in a unified workflow.
Enhanced LLM Support and Multi-Step Agentic Workflows
Oracle AI Agent Studio now supports leading LLMs including OpenAI, Anthropic, Cohere, Google, Meta, and xAI, allowing customers and partners to select the best model for their business needs. New updates improve integration, extensibility, observability, evaluation, and prompt management. Features such as Model Context Protocol (MCP) support, A2A agent cards, credential store, monitoring dashboards, agent tracing, and token usage metrics ensure agents operate securely, efficiently, and transparently.
Additionally, Oracle introduced expanded agent templates, an agent builder assistant, and a dedicated FAQ agent to simplify agent creation and lifecycle management. Multimodal and Retrieval-Augmented Generation (RAG) capabilities enhance agent Q&A performance across diverse data types and external sources, while workflow agents now support deterministic execution, chaining workflows, agent nodes, and human-in-the-loop functionality for optimized decision-making.
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Certified Expert Network Boosts AI Adoption
Over 32,000 certified experts have trained on Oracle AI Agent Studio, creating high-performing agents that optimize enterprise workflows. This network continues to expand the AI Agent Marketplace with expert-built agents and templates, providing secure, validated solutions to transform business processes.
“In the current enterprise AI-arms race, Oracle has proven itself to be a steadfast competitor. With the launch of AI Agent Marketplace, Oracle is raising the bar once again,” said Mickey North Rizza, Group Vice-President Enterprise Software, IDC. “With the new marketplace offering an ever-expanding range of partner-built AI agents natively supported in Fusion Applications, Oracle customers will be uniquely able to accelerate AI adoption. This continued innovation underscores Oracle’s commitment to delivering tangible value and productivity gains to its customers in today’s fiercely competitive AI landscape.”
“Enterprise application suites that embed AI capabilities and offer flexible agent development environments are taking a clear lead in the market,” added Holger Mueller, vice president and principal analyst at Constellation Research. “Expanding these ecosystems with accessible marketplaces for partner-built AI agents represents a natural evolution, making it easier for enterprises to adopt and scale AI-driven automation.”
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