Oracle announced AI agents within Oracle Fusion Cloud Applications to help supply chain leaders accelerate decision-making and drive greater efficiency across planning, procurement, manufacturing, maintenance, and logistics. Built using Oracle AI Agent Studio for Fusion Applications, the new AI agents are embedded within supply chain processes to help leaders unlock productivity gains and enhance business performance by automating end-to-end workflows and delivering insights that inform faster, more confident decisions.
“As supply chains grow more complex and disruptions become more frequent, organizations need faster, more automated ways to keep operations moving,” says Chris Leone, Oracle’s executive vice president of Applications Development in a press release. “With the new AI agents embedded in Oracle Fusion Applications, supply chain leaders can meet customer demands and improve operational resilience by automating critical tasks, reducing manual errors, optimizing resources, and proactively resolving issues.”
Running on Oracle Cloud Infrastructure, Oracle AI agents are prebuilt with integrated security features and natively integrated within Oracle Fusion Applications at no additional cost. Embedded within the existing workflows of a business, they can help users operate faster and make better decisions.
The AI agents in Oracle Fusion Cloud Supply Chain & Manufacturing (SCM), part of Oracle Fusion Applications, include agents for several areas including:
- Planning, Product Lifecycle Management, and Procurement
- Maintenance, Manufacturing, Inventory Management
- Logistics, Order Management, and Service.
Oracle Cloud SCM also provides a unified AI-powered platform that integrates supply chain and operations processes to help organizations enhance resilience and quickly adapt to market changes. In addition to the new AI agents embedded in Oracle Cloud SCM, customers and partners can also create and manage their own unique AI agents using AI Agent Studio for Fusion Applications, a comprehensive platform for building, testing, and deploying AI agents and agent teams across the enterprise.
What This Means for ERP Insiders
AI agents shift from proof-of-concept to production workflows. Oracle’s deployment of 14 prebuilt AI agents embedded natively within Fusion Cloud SCM at no additional cost signals a fundamental transition from experimental AI features to production-grade automation. These agents also automate end-to-end workflows across planning, procurement, manufacturing, maintenance and logistics. This demonstrates enterprise software vendors are moving beyond chatbot interfaces toward autonomous task execution within transactional systems.
Prebuilt agents challenge build-versus-buy orchestration strategies. The availability of industry-specific agents indicates cloud ERP platforms are absorbing functionality traditionally addressed through external orchestration layers. For GSIs and system integrators, this also raises questions about middleware-based workflow automation versus native platform capabilities. In particular, this is true when Oracle includes these agents at no additional cost with integrated security and seamless data access.
Multi-agent collaboration requires new governance frameworks. Oracle’s AI Agent Studio enables customers to build custom agents and “agent teams,” suggesting future supply chain operations will involve coordination between multiple autonomous agents handling interdependent tasks. Transformation leaders also face emerging challenges in establishing governance policies for agent-to-agent interactions. They need to define approval thresholds for autonomous decisions, and maintain audit trails when workflows span human users and AI agents across enterprise applications.
