Key takeaways

  • Oracle has released 22 new Fusion Agentic Applications across ERP, HCM, SCM, and CX.
  • They are objective-based workspaces where users define an outcome, and specialized agents collaborate to achieve it.
  • They function within existing role-based permissions, policies, approvals, and compliance frameworks—maintaining governance as work is executed.
  • Fusion Agentic Applications extend enterprise systems beyond recording transactions to actively advancing work.

For 30 years, enterprise software has done exactly what it’s told—executing predefined workflows while waiting for people to decide what comes next. In a slower era, teams could absorb the work that rule-based systems couldn’t—interpreting data, making decisions, and chasing approvals. Today, business moves too quickly for people to keep filling those gaps. 

Agentic applications introduce a new way to work—one that scales with both speed and precision. Powered by teams of AI agents, they execute end-to-end business processes. They don’t just answer questions; they resolve exceptions, make decisions, and drive work to completion. For the first time, execution is no longer constrained by human capacity. 

Oracle has introduced Fusion Agentic Applications, a new class of agent-powered enterprise applications that redefines how work gets done. Built into Fusion Applications, 22 agentic applications are now available across Fusion ERP, HCM, SCM, and CX. 

A new way to work

Agentic applications represent a fundamental shift in software design. They are objective-based workspaces where users define an outcome, and specialized agents collaborate to achieve it. Agents—not people—determine what actions to take and carry them forward. 

These agents reason across enterprise data, understand context, identify what matters, and proactively surface decisions that require human input. 

Unlike static screens or dashboards, agentic applications deliver insights directly to users, alerting them to what needs attention. Users see what has changed, why it matters, and what to do next. Agents present only actionable decisions, complete with recommendations and trade-offs, and guide users to the next best step—whether resolving issues, approving actions, or advancing workflows. 

Consider product design. The objective may be to reduce costs, shorten cycle times, and lower supply risk. Previously, engineering teams made design changes in isolation, often without visibility into material costs or availability. Now, agents in the Design-to-Source Workspace coordinate design changes, sourcing decisions, and supplier engagement across engineering and procurement. They evaluate suppliers based on cost, lead time, quality, and risk, identify trade-offs, and recommend the best sourcing strategy. The system then executes the work—generating RFQs from design data, evaluating bids, and recommending awards. 

In finance, accounts receivable must balance timely collections with maintaining strong customer relationships. Traditionally, finance teams monitor overdue accounts and manually assemble data—from payment history to disputes and contracts—to assess risk. In the Collectors workspace, agents now perform this analysis. They prioritize accounts based on risk and value, recommend next actions and communication strategies, and coordinate collections, dispute resolution, and outreach—freeing teams to focus on customer engagement. 

From recording what happens to driving outcomes

Fusion Applications bring together a system of record and a system of outcomes. 

Built into Fusion Applications, Fusion Agentic Applications inherit the context, authority, and guardrails needed to act safely. Because they operate directly on enterprise data, workflows, and business objects, they understand the full business state. They function within existing role-based permissions, policies, approvals, and compliance frameworks—maintaining governance as work is executed. 

How AI Agent Studio fits in

Oracle has expanded AI Agent Studio—the integrated platform for building, connecting, and running AI automation in Fusion Applications—with a new agentic application builder. Using natural language, users can compose agentic applications from reusable agents. This will be covered in more detail in future posts. 

Summing up

Fusion Agentic Applications extend enterprise systems beyond recording transactions to actively advancing work. Across use cases, the system interprets conditions, prepares next steps, and moves work forward—while people focus on decisions that require judgment. 

Further reading

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