TLDR: Oracle has significantly advanced its artificial intelligence strategy by launching an expanded AI Agent Marketplace and enhancing its AI Agent Studio for Fusion Cloud Applications. This initiative, highlighted at a recent fall event, enables Oracle partners and customers to build, customize, and deploy a vast array of AI agents, driving automation and efficiency across enterprise workflows.
Oracle has announced a major leap in its artificial intelligence offerings with the introduction of an expanded AI Agent Marketplace and enhanced AI Agent Studio for Fusion Cloud Applications. This development, a key highlight from Oracle AI World 2025, underscores Oracle’s commitment to embedding AI natively into business processes, moving beyond traditional add-on approaches.
Steve Miranda, executive vice president of Oracle Applications Development, detailed the rapid evolution of Oracle’s AI strategy. He explained that the journey began with embedded AI two years ago, progressed to AI agents last year, and then saw the mid-year announcement of the AI Agent Studio. This studio allowed customers to configure and tailor the more than 600 AI agents Oracle had already delivered across its applications. The latest announcement, the AI Agent Marketplace, further expands this ecosystem, now offering over 600 Oracle-delivered agents and more than 100 partner-developed agents from over two dozen partners at launch. Miranda emphasized that this marketplace significantly accelerates the ability for customers to leverage Oracle’s AI, partner-built AI, and their own custom-built AI solutions.
The Oracle AI Agent Studio is described as a comprehensive platform for creating, extending, deploying, and managing AI agents and agent teams across the entire enterprise, from front to back office. It provides easy-to-use tools, including advanced testing, robust validation, and built-in security, enabling customers and partners to develop customized AI agents that address complex business needs and boost productivity. A built-in framework for observability and evaluation allows users to measure, evaluate, trace, report, and observe agent quality and performance.
These new AI agents are designed to help companies accelerate processes, make smarter choices, and reduce costs. They are built with advanced Large Language Models (LLMs) and are seamlessly integrated into finance, human resources, supply chain, and customer experience workflows within Oracle Fusion Cloud Applications. For instance, in finance, agents like the Accounts Payable Agent automate invoice processing, the Ledger Agent streamlines journal entries, the Planning Agent enhances forecasting, and the Payment Agent optimizes cash flow. In human resources, the Talent Advisor and Manager Concierge assist with performance management, career planning, and team operations. Supply chain and manufacturing benefit from agents such as Quote-to-Requisition and Fulfillment Process Assistant, which improve procurement and shipment efficiency. Customer experience (CX) agents, including Account-Product Matching and Deal Advisor, support sales and service teams.
Miranda highlighted two broad classes of use cases emerging from this innovation: ‘heavy lifting big automation’ for strategic, large-scale transformations, and ‘tactical improvements’ for addressing ‘little annoying tasks’ that, when automated, save significant time for end-users. He stressed Oracle’s philosophy of ‘building AI natively into the apps,’ asserting that AI is a ‘brand new ingredient’ that fundamentally transforms user interfaces, business workflows, and the level of automation, rather than being merely ‘sprinkled on the side.’ This embedded approach, he noted, is crucial to unlocking the true power of AI.
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The AI Agent Marketplace fosters a global ecosystem where customers can access certified agents from a growing network of partners, deploying them in minutes. This flexibility, combined with the ability to modify pre-built agents or create entirely new ones, positions Oracle Fusion Applications as a leader in enterprise AI automation.
