Oracle has launched Fusion Agentic Applications for its Fusion Cloud Applications suite, with 22 applications spanning finance, human resources, supply chain and customer experience.
The new applications are designed to make and execute decisions within business processes by drawing on enterprise data, workflows, policies and approval structures already held in Oracle’s systems. The software runs within Oracle’s existing security framework and is intended to automate routine actions while escalating exceptions or trade-offs to staff.
The launch is Oracle’s latest effort to move beyond AI assistants and copilots towards software that takes action inside core business systems. It is positioning the products around specific tasks such as workforce scheduling, debt collection, supplier sourcing and sales expansion programmes.
Examples released at launch include a Workforce Operations application for HR teams, a Design-to-Source Workspace application for supply chain teams, a Cross-Sell Program Workspace application for sales teams and a Collectors Workspace application for finance teams. These products are intended to improve scheduling, reduce payroll issues, lower sourcing costs, increase sales win rates and speed up cash collection.
Steve Miranda, Executive Vice President of Applications Development at Oracle, outlined the company’s view of how enterprise software is changing.
“The way work gets done no longer matches the speed, complexity, or expectations of modern business as too much time is spent managing processes instead of driving outcomes,” said Steve Miranda, executive vice president of applications development at Oracle. “With Fusion Agentic Applications, we are moving enterprise software beyond passive systems of record and providing our customers with applications that can reason, decide, and act in pursuit of defined business objectives. This is a huge step forward for the industry and will help our customers achieve faster outcomes, focus their valuable time on strategic activities, and redefine how work works.”
Studio update
Alongside the application launch, Oracle expanded AI Agent Studio for Fusion Applications, its development platform for building and managing AI agents and automated workflows. The update adds an Agentic Applications Builder, along with workflow orchestration tools, contextual memory, content intelligence, multimodal model support, monitoring features and an ROI dashboard.
The builder will allow customers and partners to assemble AI automations and agent-led workflows in natural language without traditional coding. The contextual memory feature is intended to help agents retain relevant information across interactions and process stages, rather than handling only isolated tasks.
Chris Leone, Executive Vice President of Applications Development at Oracle, said the changes are aimed at customers that want to shape AI around existing business processes.
“As organizations move beyond pilots and begin operationalizing AI across the enterprise, they need the ability to tailor AI to their unique workflows, expertise, and operational priorities,” said Chris Leone, executive vice president of applications development at Oracle. “With AI Agent Studio for Fusion Applications, we are helping customers and partners build the foundation for a more autonomous enterprise. Builders can create AI automations and agentic applications using natural language that are powered by enterprise AI agents capable of reasoning, taking action across business systems, and continuously executing processes. This enables organizations to move beyond dashboards and copilots to AI-powered applications that actively run the business, with the governance, trust, and security that enterprises require.”
Oracle said more than 63,000 certified experts have been trained in AI Agent Studio. The development tools are available to Fusion Applications customers and partners at no additional cost.
Database push
Oracle also introduced a set of agentic AI additions for Oracle AI Database, extending the push beyond applications into data infrastructure. The new functions are intended to help businesses build and run AI systems using real-time operational and analytical data without moving that data into separate pipelines.
The additions 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 an MCP server for Autonomous AI Database. They are aimed at both development and security, including tighter controls over what data individual users or AI agents can access.
“The next wave of enterprise AI will be defined by customers’ ability to use AI in business-critical production systems to safely deliver breakthrough innovations, insights, and productivity,” said Juan Loaiza, Executive Vice President of 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 help customers quickly build and manage agentic AI applications that can securely query and act on real-enterprise data with stock exchange-level robustness in every leading cloud and on-premises,” said Loaiza.
Industry analysts said the significance of Oracle’s move will depend on whether businesses want AI systems embedded directly inside transactional software rather than attached as separate tools. Mark Smith of ISG said cross-functional coordination, combined with security and approvals kept inside the application suite, could become a differentiator. IDC’s Kevin Permenter said the model could reduce routine administrative work and leave people to focus on exceptions. Michael Fauscette of Arion Research said deep integration with data, policies and approval hierarchies could help organisations move from AI experiments to operational use.
Partner firms also backed the AI Agent Studio updates, with comments from Accenture, Deloitte, KPMG and PwC focused on customer demand for tailored models, workflow controls and measurement of business impact. Oracle said its AI database additions are available across public cloud, multicloud and on-premises environments, with tools intended to let customers choose their own models, frameworks and data formats.