Observed Signal · Apr 24, 2026 · Technical Guide · Source: DEV Community · Impact: 2/5 · Sentiment: Positive
Oracle AI Agent Studio: Business Object Tool for ERP
A technical how-to demonstrating how to build an AI agent in Oracle AI Agent Studio that queries live Oracle Fusion purchase order data. The author validates the Fusion REST API (GET /fscmRestApi/resources/11.13.18.05/purchaseOrders), creates a Business Object named Halton_Return_PO_Information mapped to specific fields (OrderNumber, Status, Supplier, Buyer, Total, Date), exposes it via a Tool (Halton_Return_PO_Tool), configures an agent with an explicit system prompt to map user intents to API fields, and publishes the agent inside an Agent Team for end users. The post highlights best practices: validate APIs first, curate fields to reduce noise, use explicit prompts for predictable behavior, and the architecture’s scalability for additional Business Objects or APIs.
Shows a practical pattern for connecting LLM-based agents to live enterprise ERP data via Oracle AI Agent Studio (Business Object → Tool → Agent), which can accelerate enterprise automation and operational access to structured data but is a platform-specific how-to rather than a broad industry shift.
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Key Takeaways & Evidence Grounding
- Article demonstrates integrating Oracle Fusion Purchase Orders via REST API endpoint GET /fscmRestApi/resources/11.13.18.05/purchaseOrders.
- Author created a Business Object named Halton_Return_PO_Information with Resource Path /fscmRestApi/resources/11.13.18.05/purchaseOrders.
- A Tool called Halton_Return_PO_Tool was created and linked to the Business Object to expose data to an AI agent.
- An AI Agent was configured in Oracle AI Agent Studio with a system prompt that maps user inputs to specific PO fields and the agent was deployed to an Agent Team.
- Article published on Dev.to on 2026-04-24 describing a live, production-connected purchase order agent (not mock data).
Connected Companies & Entities
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Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
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Oracle announced additional role-based AI agents for revenue teams that are embedded within Oracle Fusion Cloud Applications to support marketing, sales and customer service processes. The new prebuilt agents are natively integrated into Oracle Fusion Applications and offered at no additional cost. Oracle also introduced AI Agent Studio for building, testing and deploying AI agents and agent teams across the enterprise. Oracle positions the agents to surface insights from unified, cross‑functional data (exposing data silos such as procurement, service records and order management) and to automate operational tasks while providing predictive guidance. Rob Pinkerton, SVP at Oracle, urged customers to adopt a phased approach to AI. The release includes multiple marketing, sales and service-specific agents (e.g., Program Planning Agent, Copywriting Agent, Quote Generation Agent, Work Order Scheduling Agent).
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