Oracle launches agentic AI platform for cloud setups

Oracle has launched an agentic AI platform for Oracle Fusion Cloud Applications implementations through Oracle AI Success Navigator.

The new offering is designed to help customers implement and modernise Oracle Fusion Cloud Applications, including organisations moving from on-premises systems or third-party software, as well as those adopting Oracle's latest AI features.

The platform is built on the Oracle Fusion Setup and Configuration Registry, or FSCR, which Oracle describes as a machine-readable source for setup, configuration and product-defined best practices in Oracle Fusion applications. Oracle maintains the registry to capture setup definitions and product knowledge as reusable AI skills.

Those AI skills are intended to let software agents plan, execute, test and validate setup and configuration work directly in Oracle Fusion Cloud Applications. Oracle says this approach combines specialised AI agents, implementation expertise and guided learning to reduce manual work and simplify deployment tasks.

Agent roles

Oracle AI Success Navigator, previously known as Oracle Cloud Success Navigator, is an interactive digital platform that provides implementation tools, guidance and best practices for Oracle Fusion customers. Its tools and services now include AI-based guidance, offering recommendations and suggested actions based on customer context, subscriptions, configuration data, adoption data and Oracle best practices.

Oracle is also adding a set of specialised AI agents to support implementation work. These include a Discovery Agent for analysing current environments and identifying process gaps, risks and opportunities for modernisation; a Design Agent for turning business processes into application designs; and a Configuration Agent for building Oracle Fusion configurations from customer designs and business processes.

Other agents include a Testing Agent to develop customer use cases and align testing steps with configurations; an Integration Agent to define integration scope and architecture and generate the code needed to build links with existing systems; and an Innovation Agent to identify and prioritise opportunities for wider application and AI adoption.

The system is intended to help implementation teams decide which activities to prioritise at different stages of a project. Oracle says the agents are designed to help teams move from business requirements to a deployed and adopted system with greater consistency.

Gary Miller, Customer Success Officer and Executive Vice President at Oracle, outlined the company's view of customer demand for faster cloud deployments.

"Organisations want to move to the cloud faster, simplify implementation, and begin realizing the benefits of AI immediately," said Gary Miller, Customer Success Officer and Executive Vice President at Oracle. "Oracle AI Success Navigator brings together specialized AI agents, proven best practices, expert guidance, and training to help customers accelerate their journey to Oracle Fusion Applications and achieve business value sooner."

Early user

Oracle cited Lexington Health as an early adopter of the new agentic AI functions. The healthcare provider is using Oracle Fusion Cloud Applications and has applied the new delivery approach during its implementation work.

"As a healthcare provider, it's important to Lexington Health that we take advantage of every opportunity to streamline efforts and direct resources to patient services. AI will be critical within our Oracle Fusion Cloud Applications deployment in the long term. Right now, during implementation, the Oracle AI agentic delivery approach has allowed us to reduce certain design and configuration efforts by 80 percent. We anticipate further AI-enabled benefits as we transition into testing and beyond our go-live," said Tom Tan, Executive Director, IT, Business Services, Lexington Health.

The announcement adds to Oracle's broader effort to apply AI to the implementation and operation of its business software. Here, the focus is not on end-user features within finance, HR or supply chain systems, but on the work required to get those systems deployed, configured and adopted.

That work is often costly and time-consuming for large organisations, particularly when they are replacing older in-house software or connecting new cloud systems to established business processes and existing applications. Oracle's approach suggests software suppliers are increasingly seeking to automate implementation work that has traditionally relied heavily on consulting teams, manual configuration and project-specific design.

Oracle plans to add more AI agents to Oracle AI Success Navigator to support additional implementation and adoption activities.