Oracle Unveils AI-Powered HR Applications to Automate Decision-Making

At the Oracle AI World Tour, Oracle announced a new set of AI-driven tools called Fusion Agentic Applications for HR, designed to help companies automate routine HR tasks and improve decision-making. 

Built into Oracle’s Fusion Cloud Applications, these tools can access company data, workflows, and policies to take action within defined boundaries—reducing the need for manual coordination.

"HR leaders and managers are being asked to deliver better employee experiences, make faster decisions, and support compliance efforts, all while operating with leaner teams and more complex policies. This is extremely difficult when so much time is spent chasing updates, reconciling disconnected signals, and moving work across systems,"  Chris Leone, Executive Vice President of Applications Development, Oracle, said in a statement.

Oracle said its new Fusion Agentic Applications can reason and act against defined objectives. HR leaders and managers can reinvent key processes such as scheduling, career development, and employee support by shifting work from manual coordination to proactive execution.

Powered by Oracle Cloud Infrastructure and large language models, these applications are designed not just to assist but to complete tasks such as scheduling, hiring workflows, and employee support, while still keeping humans in control for critical decisions.

Oracle has introduced eight applications within its Human Capital Management suite. These include tools for career development, contract management, hiring, team management, employee support, learning and development, talent reviews, and workforce operations. Together, they aim to simplify processes that are often time-consuming and fragmented.

The company also introduced Oracle AI Agent Studio, which allows businesses to build and manage their own AI-driven workflows without needing extensive technical expertise. It includes features to track performance, measure returns, and ensure safe use of AI at scale.