Oracle Focuses on Fusion App Developers With Agentic AI Tools

Mesut Dogan via Getty ImagesOracle on Tuesday released new capabilities to help enterprise developers build, coordinate and govern AI agents for Oracle Fusion Applications.The Fusion application suite includes platforms for finance, supply chain management, manufacturing, HR, sales, customer service and experience and marketing.The developer-focused no-code and pro-code -- traditional human programming -- tools complement the coding capabilities, primarily aimed at business users, already embedded in the Oracle AI Agent Studio for Fusion Applications, introduced in March 2025.With what Oracle calls the AI-native builder experience update, developers can use the most popular AI coding models and agents from third-party vendors. These include OpenAI Codex, Claude Code, Microsoft VS Code, Google Antigravity and Git, the open source distributed version control system. Developers working in the Fusion suite can also use command line interfaces from various vendors.Related:Foundation Launched to Standardize AI PaymentsStaying in FusionOracle terms apps created with these tools Fusion Agentic Applications. The apps are systems of specialized agents that reason, coordinate and take action, executing work within Fusion workflows.“We are now saying we really need to treat everybody equally. Do you want to do no-code or are you a professional developer and want to code in your professional environment?” said Natalia Rachelson, senior vice president of cloud applications development at Oracle. “The professional environments have evolved. They're comfortable there. Stay there, but we're going to give you tools and plugins such that you can stay in that environment and build an agentic application that will run in Fusion.”Robert Kramer, founder and analyst at KramerERP, said he views the developer-focused tools as a moderate update to Oracle’s agentic platform.“It is more than another agent or development tool, but I would not describe it as a major change until customers show results,” he said. “ERP is where agentic AI becomes valuable and also risky. It is relatively easy for an agent to summarize an invoice or recommend a collections action. It is harder to let that agent update financial records, release an order, initiate a payment or change a supply plan while maintaining security, approvals and an audit trail.”But Kramer added that the agentic platform’s value extends beyond ERP into human capital management, supply chain management and CX; the ability to coordinate multiple agents across broader business processes within a governed environment is important. Other potential benefits, he said, include moving agentic applications into production faster and making it easier for business users, developers and partners to work together using an array of no-code, low-code and advanced AI coding tools.Related:Perplexity AI Introduces Space Sandbox for AgentsChallenges for Oracle AI“The questions are how well this works outside Oracle, how enterprises manage multi-agent failures and how much control business users should have when building production applications,” Kramer continued. “Existing security and approvals help, but they do not solve poor data quality, unclear process ownership or accountability. Oracle also needs to provide more clarity around runtime costs, integration costs and measurable customer outcomes.”The vendor’s latest updates to its agentic AI platform have come as the 49-year-old tech giant is pivoting sharply toward AI, with ambitions to become a major supplier of AI data-center-generated compute for customers such as generative AI lab OpenAI.The Oracle-OpenAI Stargate project, with major financing from SoftBank and MGX, is the capstone of Oracle’s AI strategy for the future. Originally proposed in 2025 as a $500 billion project across four states and several countries, the undertaking has encountered turbulence in some places, particularly in its anchor state, Texas, over issues such as water use and grid stress.Related:Moving Enterprise AI From Pilots to PayoffAlso, the more than $18 billion in debt Oracle has taken on to build AI data centers has many observers concerned about the level of risk the vendor has accepted and about whether it will realize the revenue it anticipates from the buildout quickly enough to meet repayment obligations.Oracle itself cited the move toward an AI-based business model and internal deployment of AI systems as major reasons for laying off some 21,000 employees, or about 13% of its workforce, over the course of this year.About the AuthorSenior News Director, AI BusinessShaun Sutner, a journalist with more than 25 years of daily newspaper experience and 12 years at Informa TechTarget as an editor and writer, directs news coverage for AI Business. He was previously a senior news and features writer covering health IT and HR software at TechTarget and a senior news director overseeing coverage of AI, business analytics, data management and government tech regulation.Sutner's newspaper career included investigative reporting and covering the Massachusetts State House and politics for the Worcester Telegram & Gazette. He has written about snow sports as a T&G columnist and correspondent for 21 years. Sutner's interests also include tennis, standup paddleboarding, cooking and popular music.