Announced at Oracle AI World London, the company’s Fusion Agentic Applications are designed to go beyond copilots and assistants by taking action within core enterprise workflows across finance, HR, supply chain and customer experience.
The key distinction, according to Oracle, is that these applications sit in its existing Fusion platform, giving them direct access to transactional data, approval structures and security controls. This allows them not only to generate insights, but to carry out tasks in real time within defined guardrails.
The launch reflects a broader shift in enterprise AI, as vendors look to move from experimentation towards operational impact.
Steve Miranda, executive vice president of applications development at Oracle, said the aim is to reduce the amount of time spent managing processes and instead focus on outcomes. The applications are built around specific objectives, such as improving cash collection or workforce scheduling, and are designed to continuously progress work, surfacing only exceptions where human input is required.
At launch, Oracle is introducing 22 of these applications. Use cases include reducing payroll errors, lowering sourcing costs, improving sales conversion rates and accelerating collections. In each case, the software coordinates multiple AI agents to manage tasks across a workflow rather than addressing a single step.
The approach also attempts to address a longstanding challenge in enterprise AI: integration. Rather than layering AI onto existing systems, Oracle is embedding it within the applications themselves. Analysts have pointed to this as a potential advantage, particularly in regulated environments where governance and auditability are critical.
Alongside the applications, Oracle also announced updates to its AI Agent Studio, including tools to build and customise agent-based workflows and a dashboard to measure return on investment.
This reflects growing demand from enterprises to better quantify the value of AI deployments, particularly as projects move beyond pilot stages.
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