Oracle has begun introducing what it calls “Fusion Agentic Applications”, AI agents embedded directly into its cloud-based ERP suite. According to Computerworld, the systems are designed to carry out tasks in workflows.
This points to a change from what many described as “copilot” systems to something closer to operators.
From assistance to execution
Enterprise software has long been built around structured workflows. Finance teams close books and HR teams process payroll, while supply chain systems keep goods moving through planned steps. Embedding AI agents into those workflows changes how decisions are made. Instead of waiting for a user to review a dashboard, the system may act as soon as certain conditions are met.
According to Computerworld, Oracle’s agent-based applications are designed to carry out actions in business processes, including tasks like reconciling transactions or handling procurement steps, depending on how the systems are configured.
The appeal is easy to see, especially for large organisations that run complex ERP systems with manual input at different stages. Automating some of those steps may reduce delays and lower operational overhead. It may also help address talent gaps in areas like finance operations and supply chain management.
Control and accountability
The change raises new questions about control. Enterprise systems are about and accountability. Every change in a finance or HR system needs to be traceable. Regulators and auditors expect clear records of who did what and why.
When software begins acting on its own, those expectations remain. If an AI agent approves a transaction or adjusts a forecast, businesses must still explain how the decision was made. That brings attention to issues like:
- audit trails for automated actions
- explainability of AI-driven decisions
- limits on what systems are allowed to do without human approval
These concerns become more pressing when AI moves from advisory into operational roles.
There is also a risk of over-automation. A recent commentary from Retail Banker International warned that “surface-level AI” adoption can create fragmented systems and weak returns if not managed carefully.
How Oracle’s agentic cloud systems are changing ERP workflows
The move toward agent-based systems is most visible in ERP environments because of how central they are to business operations.
Finance and HR platforms already sit at the core of enterprise data. Supply chain systems often do as well. Adding AI agents into those systems can change them from record systems toward decision-support systems that may also take action.
This could change how companies structure their operations. Instead of teams managing each step of a process, they may oversee systems that handle routine decisions on their own. Human roles may change toward supervision, exception handling, and policy setting.
A similar pattern is visible in other parts of the enterprise. In customer service, for example, banks deploy AI-powered cloud contact centres that can handle parts of customer interaction flows, according to BizTech Magazine.
What comes next
The move toward agent-based enterprise software is still at an early stage. Many organisations are likely to start with limited use cases before expanding into core processes.
Areas like procurement and expense management are often early targets. Customer service is another common starting point. These areas involve repeatable tasks with rules that make them easier to automate.
Systems are starting to take action without direct human input, which means companies will need to rethink how they manage risk and maintain oversight. They will also need clear lines of accountability. Cloud software is not a tool that supports work, and in some cases, it is starting to carry out parts of the work itself.
(Photo by Lana Codes)
See also: Oracle bets big on cloud as it targets $225b in sales by 2030
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