Oracle Introduces Fusion Agentic Applications for Finance and Supply Chain

Oracle has launched Fusion Agentic Applications, a new category of AI-driven tools designed to automate and execute complex tasks within finance and supply chain operations. These applications utilize specialized AI agents that can reason and make decisions by accessing unified enterprise data, workflows, and transactional context. For the supply chain finance sector, this shift toward autonomous execution aims to improve working capital, reduce operational delays, and allow teams to manage disruptions more effectively.
Oracle's new Fusion Agentic Applications represent a significant evolution in enterprise software, moving beyond simple AI assistance to active execution within the Oracle Fusion Cloud Applications suite. Powered by Oracle Cloud Infrastructure and advanced large language models (LLMs), these agents are designed to be outcome-driven and proactive, capable of making decisions based on established business policies and approval hierarchies. By operating within existing security frameworks, the applications can autonomously handle routine tasks while flagging complex trade-offs or exceptions for human intervention, ensuring that enterprise guardrails are maintained.
Steve Miranda, executive vice president of Applications Development at Oracle, highlighted that finance and supply chain teams are currently burdened by manual follow-ups and system handoffs that hinder efficiency. The introduction of agentic applications is intended to transform these processes from passive productivity to proactive systems that carry work forward independently. This capability is particularly relevant for supply chain finance, as it focuses on improving working capital, reducing costs, and accelerating the speed at which organizations can close financial periods and respond to market disruptions.
To support the deployment of these tools, Oracle has introduced the Oracle AI Agent Studio, which includes an Agentic Applications Builder. This platform enables organizations to create and manage AI automation using a combination of Oracle, partner, and external agents without the need for traditional software development. The studio also provides built-in observability, ROI measurement, and safety controls, allowing businesses to monitor the performance and responsibility of their AI agents as they scale operations across the enterprise.
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