Oracle Corp. today announced a series of new agentic artificial intelligence extensions to its Fusion Cloud Human Capital Management suite, bringing the number of agents in the application to more than 100.
The new additions support internal mobility, performance management, learning and development, payroll and staffing processes. Oracle has been steadily adding agents — a type of autonomous AI software that can take actions independently or with limited human oversight in pursuit of a specific goal — for approximately a year. It also provides an AI Agent Studio to allow customers to create and customize their own agents.
Working within Fusion applications, agents operate within customers’ existing workflows, allowing users to automate tasks, gain insights and trigger actions without leaving the application.
The latest additions are not just about automating routine queries but “taking action,” said Yvette Cameron, Oracle’s senior vice president of global HCM product strategy. “They’re able to automate entire workflows,” she said. “They can surface insights in real time and take action on behalf of users to remove friction from everyday tasks.”
For example, the Learning Tutor Agent uses metadata and inferred skills to advise employees on which training courses might meet their objectives. “It can help them determine which course to take depending on information available from the course provider,” Cameron said.
Among the 13 new agents being announced today are the following.
- Job Discovery Agent matches employees to internal roles based on skills and interests.
- Interview Management Agent handles scheduling logistics for recruiters.
- Team Goals Assistant helps managers define and align team goals using predefined company policies.
- Learning Tutor Agent provides guidance on training courses, including those from third-party providers.
- Payroll Run Analyst flags anomalies in employee pay and surfaces possible causes.
- Positions Assistant evaluates whether managers can backfill or create positions based on policy, budget and organizational data.
In most cases, customers need to customize the agents through a retrieval-augmented generation or fine-tuning process to match internal policies and documents. Cameron said the AI Agent Studio allows for extensive customization and can adapt to a variety of structured and unstructured data types.
For example, the Team Goals Assistant “goals can be of any level of structure desired,” she said. “Some organizations have very specific policies and requirements around defining quarterly milestones and progress indicators, or they can be simply a goal with an estimated or a required due date.”
Oracle’s agents can work with external systems, leveraging application programming interfaces and AI Agent Studio. The suite supports the Agent2Agent and Model Context Protocols, which are emerging standards for agent interoperability.
This capability allows customers to build AI workflows that incorporate data from non-Oracle platforms. “Interactions with external systems, even interactions with other agents, is built into the framework,” Cameron said. Security, privacy and data management are provided by Oracle Cloud Infrastructure, which hosts the applications.
Though Oracle delivers a set of prebuilt agents, the company is also encouraging partners and customers to use AI Agent Studio to build new agents tailored to specific industries or processes.
Asked whether Oracle will eventually shift most agentic development to partners, Cameron said, “No, we don’t see that at all. The opportunity for transforming how work is getting done today, rethinking traditional workflows, and addressing the new challenges that are coming up almost every day is almost endless.”
In contrast to competitors that charge extra for agents, “we’re embedding at no additional cost our delivered agents,” Cameron said. “Customers can use an unlimited amount.”
The company plans to continue adding new agents across its application suite each quarter.
Photo: Flilckr CC
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