Oracle Rolls Out AI Agents Designed to Act Within Enterprise Systems
The company has launched 22 such agentic applications across functions, including finance, HR, supply chain, and customer experience.
Topics
News
- Delhi Budget Charts Expansion in Semiconductors, Drones and AI
- OpenAI Shuts Down Sora, Ends $1 Billion Disney Partnership
- Half of India’s GCC Work at Risk Amid Shift Up Value Chain
- India May Cut Content Takedown Window to One Hour
- Oracle Rolls Out AI Agents Designed to Act Within Enterprise Systems
- India Moves to Decriminalize Corporate lapses
Oracle has introduced a new set of AI-powered enterprise tools it calls “Fusion Agentic Applications,” positioning them as a shift away from traditional assistive AI to systems that can independently act on business processes.
The company said these applications are built into its existing Oracle Fusion Cloud Applications suite and designed to perform tasks by drawing on enterprise data, workflows, and approval systems. Unlike copilots or add-on AI assistants, the new tools are embedded directly within transactional systems, allowing them to execute decisions in real time under existing governance structures.
“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, 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,” he said.
The announcement reflects a broader shift in enterprise AI strategies, where companies are moving from experimenting with generative AI tools to embedding AI more deeply into operational systems. Oracle’s approach centres on deploying multiple specialised agents that work together, each assigned a defined role and level of decision-making authority.
According to the company, these agents operate within existing enterprise guardrails, autonomously completing routine actions while escalating only those scenarios that require human intervention. This includes situations involving trade-offs, exceptions, or decisions that could materially affect outcomes.
A key feature of the system is its ability to maintain shared context across processes. Instead of treating tasks as isolated events, the applications retain information about prior decisions, user intent, and workflow history, enabling continuity across business operations. The tools are also designed to continuously reassess conditions and adjust actions accordingly, rather than stopping after completing a single task.
Oracle has launched 22 such agentic applications across functions, including finance, human resources, supply chain, and customer experience. For instance, a workforce-focused application aims to reduce payroll errors and speed up scheduling approvals, while a supply chain-focused tool targets cost reductions and improved coordination between sourcing and engineering teams. Other applications aim to improve sales conversion rates and accelerate cash collection.
These applications run on Oracle Cloud Infrastructure and are powered by large language models, though Oracle did not specify which models are being used. The company also introduced enhancements to its Oracle AI Agent Studio, including a builder that allows organisations to create and deploy their own agentic workflows without traditional software development.
Industry analysts say the approach addresses a longstanding limitation in enterprise AI deployments, namely, the lack of deep integration with core transactional systems.
“The introduction of Oracle Fusion Agentic Applications represents a meaningful shift in enterprise software by moving beyond task automation to outcome-driven execution on the journey to an autonomous enterprise,” said Mark Smith, Chief AI and Software Analyst, ISG.
Smith added that the ability to coordinate agents across functions while keeping approvals and security embedded within the application suite could become a differentiating factor as organisations scale automation.
Others pointed to the potential productivity gains from reducing the overhead of routine decision-making.
