Oracle launched Fusion Agentic Applications on March 24, 2026 — the first production-ready suite of AI agents embedded natively in cloud ERP, EPM, and SCM applications. Designed for autonomous, multi-step supply chain execution, the agents integrate with logistics platforms like FourKites and Descartes, and enable policy-driven actions such as dynamic inventory rebalancing and freight mode optimization. According to Oracle’s Claire Davenport, they ‘take action’ using contextual understanding of contracts, regulations, and seasonality. This marks a strategic shift from generative AI interfaces to self-correcting, auditable agent workflows — with implications for data governance, integration architecture, and workforce roles in global supply chains.
According to www.prnewswire.com, Oracle announced Fusion Agentic Applications on March 24, 2026 — a new suite of enterprise applications powered by Agentic AI, designed to autonomously execute complex, multi-step supply chain workflows without continuous human intervention.
What Are Fusion Agentic Applications?
Fusion Agentic Applications represent Oracle’s first commercial deployment of purpose-built AI agents embedded directly into its Fusion Cloud Enterprise Resource Planning (ERP), Enterprise Performance Management (EPM), and Supply Chain Management (SCM) applications. Unlike traditional generative AI tools that respond to prompts, these agents operate with goal-oriented autonomy: they plan, reason, act, and self-correct across integrated systems. For supply chain professionals, this means agents can independently manage tasks such as dynamic inventory rebalancing across global nodes, real-time freight mode selection based on cost, carbon impact, and ETA risk, or automated supplier risk escalation when geopolitical alerts or port congestion data trigger predefined thresholds.
Core Capabilities and Integration
The applications are built on Oracle’s converged database and run natively on Oracle Cloud Infrastructure (OCI), leveraging OCI’s high-bandwidth interconnects to coordinate actions across ERP, SCM, and EPM modules in near real time. Key capabilities include:
- End-to-end autonomous execution of cross-functional processes — e.g., initiating a purchase order, validating supplier capacity via third-party logistics APIs, scheduling inbound transport, and updating financial accruals
- Natural language interface for business users to define intent (e.g., “Minimize landed cost for SKU X across APAC while maintaining 98% service level”), with agents decomposing and executing the workflow
- Built-in observability dashboards showing agent decision trees, action logs, and deviation alerts — enabling auditability and human-in-the-loop oversight
- Pre-integrated connectors to major logistics platforms including Descartes, FourKites, and project44, as well as customs and trade compliance services like Amber Road
Industry Context and Precedent
This release follows growing adoption of agentic architectures in enterprise software. In 2025, SAP announced Joule Agents for intelligent process automation in S/4HANA Cloud, while Microsoft’s Copilot Studio expanded support for multi-agent orchestration in Dynamics 365 Supply Chain. However, Oracle is the first among major ERP vendors to ship production-ready, preconfigured agentic applications embedded in core SCM workflows — not as add-ons or low-code extensions. According to Gartner’s 2025 Hype Cycle for Supply Chain Technology, agentic AI crossed the ‘Peak of Inflated Expectations’ and entered the ‘Slope of Enlightenment’ — with early adopters reporting up to 40% reduction in manual exception handling for demand-signal reconciliation and procurement sourcing.
Practitioner Implications
For global supply chain professionals, Fusion Agentic Applications shift the operational paradigm from reactive monitoring to proactive, self-healing execution. Teams will need to redesign role responsibilities — moving away from task-level coordination toward defining business policies, setting guardrails, and interpreting agent-generated insights. Integration with existing TMS, WMS, and visibility platforms becomes critical; Oracle confirms certified integrations are available for Manhattan Associates, Blue Yonder, and Oracle’s own Warehouse Management Cloud. Crucially, the agents require clean, structured master data and consistent process definitions — underscoring that AI efficacy remains tightly coupled to foundational data governance and process standardization. As supply chains face intensifying pressure from tariff volatility, Red Sea disruptions, and CSDDD compliance deadlines, autonomous agents offer a scalable way to maintain responsiveness without linear headcount growth.
“Fusion Agentic Applications don’t just answer questions — they take action. They’re trained on billions of supply chain transactions and understand context like seasonality, contract terms, and regulatory constraints so they can make decisions that align with business goals.” — Claire Davenport, Senior Vice President, Oracle Fusion Cloud Applications
Source: www.prnewswire.com
Compiled from international media by the SCI.AI editorial team.
