Oracle has launched Fusion Agentic Applications, a suite of Fusion Cloud Applications with 22 applications across finance, human resources, supply chain, and customer experience.
The new applications are designed to leverage the corporate data, workflows, policies, and approval structures already held in Oracle’s systems to make and execute decisions within business processes. The software runs within Oracle’s existing security framework and is intended to automate routine actions while escalating exceptions and tradeoffs to staff.
This announcement is Oracle’s latest effort to move beyond AI assistants and co-pilots to software that performs actions within core business systems. We position our products around specific tasks such as employee scheduling, debt collection, supplier sourcing, and sales growth programs.
Examples released at launch include the Workforce Operations application for human resources teams, the Design-to-Source workspace application for supply chain teams, the cross-sell program workspace application for sales teams, and the collector workspace application for finance teams. These products are designed to improve schedules, reduce payroll problems, reduce procurement costs, increase sales close rates, and speed up cash collections.
Steve Miranda, Oracle’s executive vice president of application development, outlined the company’s view of how enterprise software is changing.
“Too much time is spent managing processes instead of driving results, and the way we work is no longer aligned with the speed, complexity, and expectations of modern business,” said Steve Miranda, Oracle’s executive vice president of application development. “With Fusion Agentic Applications, we are moving enterprise software beyond passive systems of record, giving our customers applications that can reason, decide, and act in pursuit of defined business goals. This is a huge step forward for the industry, helping our customers achieve results faster, focus valuable time on strategic activities, and redefine how work works.”
studio updates
In parallel with the application launch, Oracle has expanded AI Agent Studio for Fusion Applications, a development platform for building and managing AI agents and automated workflows. This update adds workflow orchestration tools, contextual memory, content intelligence, multimodal model support, monitoring capabilities, and ROI dashboards, as well as Agentic Applications Builder.
This builder allows customers and partners to assemble AI automation and agent-driven workflows in natural language without traditional coding. Contextual memory capabilities are intended to enable agents to retain relevant information across interactions and process stages, rather than only handling individual tasks.
Chris Leone, Oracle’s executive vice president of application development, said the change is aimed at customers who want to shape AI based on existing business processes.
“As organizations move beyond pilots and begin deploying AI across the enterprise, they will need the ability to tailor AI to their unique workflows, expertise, and operational priorities,” said Chris Leone, Oracle’s executive vice president of application development. “With AI Agent Studio for Fusion Applications, we are helping our customers and partners build the foundation for a more autonomous enterprise. Builders can create natural language AI automation and agent applications powered by enterprise AI agents that can reason, take actions, and execute processes continuously across business systems. This enables organizations to go beyond dashboards and copilots to actively run their business with the governance, reliability, and security they need. You can move to AI-powered applications.”
Oracle said more than 63,000 certified professionals have been trained on AI Agent Studio. Development tools are available to Fusion Applications customers and partners at no additional cost.
database push
Oracle also introduced a set of agent AI additions for Oracle AI Database, extending its focus on data infrastructure beyond applications. The new capabilities are aimed at enabling companies to build and run AI systems using real-time operational and analytical data without having to move data into separate pipelines.
Added features include Autonomous AI Vector Database, AI Database Private Agent Factory, Unified Memory Core, Deep Data Security, Private AI Services Container, Trusted Answer Search, Vectors on Ice, and MCP Server for Autonomous AI Database. These are intended for both development and security purposes, and include tighter controls over the data that individual users and AI agents can access.
“The next wave of enterprise AI will be determined by our customers’ ability to use AI in their business-critical production systems to securely deliver breakthrough innovation, insight, and productivity,” said Juan Loaiza, executive vice president, Oracle Database Technologies. “With Oracle AI Database, customers don’t just store data, they activate it for AI. By architecting AI and data together, we enable customers to quickly build and manage agent AI applications that can securely query and manipulate real enterprise data with stock exchange-grade robustness on all major clouds and on-premises,” said Loaiza.
Industry analysts said the significance of Oracle’s move depends on whether companies want to embed AI systems directly within their transaction software rather than attaching them as separate tools. ISG’s Mark Smith said cross-departmental collaboration combined with security and authorization held within the application suite can be a differentiator. IDC’s Kevin Parmenter said this model reduces day-to-day administrative tasks and allows people to focus on exceptions. Arion Research’s Michael Fauscette says tighter integration with data, policy, and authorization hierarchies can help organizations move AI from experimentation to production.
Partners also supported the AI Agent Studio update, with comments from Accenture, Deloitte, KPMG, and PwC highlighting customer demand for customized models, workflow control, and business impact measurement. Oracle said additional AI database capabilities are available across public cloud, multicloud, and on-premises environments, with tools to allow customers to choose their own models, frameworks, and data formats.
