Oracle has recently launched a range of new and enhanced features aimed at assisting enterprises in implementing artificial intelligence agents.
The company’s latest offering, the Fusion Agentic Applications, integrates seamlessly with the Oracle Fusion Cloud Applications and is supported by specialized AI teams, as highlighted in a press release issued on March 24. A total of 22 new Fusion Agentic Applications are now available, tailored to support leaders in human resources (HR), supply chain management, sales, and finance.
“With Fusion Agentic Applications, we are advancing enterprise software beyond mere passive record-keeping systems, providing our customers with applications that can reason, make decisions, and take action in alignment with specified business goals,” stated Steve Miranda, Executive Vice President of Applications Development at Oracle, in the release.
In another announcement on the same day, Oracle unveiled enhancements to its Oracle AI Agent Studio by introducing a new agentic applications builder along with features that support workflow orchestration, content intelligence, contextual memory, and ROI measurement. The Oracle AI Agent Studio serves as the company’s development platform for AI automation and agentic applications.
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“Developers can create AI automations and agentic applications using natural language, utilizing enterprise AI agents that can reason, perform actions across business systems, and continuously execute processes,” said Chris Leone, Executive Vice President of Applications Development at Oracle, in the release.
Additionally, Oracle introduced new agentic AI innovations for the Oracle AI Database on the same day. This innovation harmonizes agentic AI with data across operational databases and analytic lakehouses, allowing AI agents to securely access real-time enterprise data and apply it with large language models to deliver valuable business insights, as detailed in another March 24 press release.
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“With Oracle AI Database, customers not only store data but also activate it for AI utilization,” remarked Juan Loaiza, Executive Vice President of Oracle Database Technologies, in the release.
In October 2025, PYMNTS reported that Oracle was reconstructing the data foundation for AI by integrating data governance, analytics, and AI within a single environment. This architecture enables enterprises to run AI workloads without transporting sensitive information to external storage.
During the same period, Oracle embedded AI agents and introduced a new AI Agent Marketplace within its Fusion Cloud Applications and Industry Applications, boasting over 600 embedded agents at that time.
