When Oracle announced 22 Fusion Agentic Applications across ERP, HCM, SCM, and CX in March 2026, the enterprise software world took notice. But the July 14, 2026 follow-up — opening Oracle AI Agent Studio to pro-code developers and AI coding agents like Codex and Claude Code — is the announcement that changes the game for automation architects and enterprise developers. It signals that Oracle isn’t just adding AI features to its cloud suite. It’s repositioning Fusion as a full development platform for autonomous enterprise applications.
- Table of Contents
- What Are Oracle Fusion Agentic Applications?
- Oracle AI Agent Studio: The Builder Platform
- The New Pro-Code Builder Experience (July 2026)
- The 22 Fusion Agentic Applications by Domain
- Oracle Fusion Cloud ERP (Finance)
- Oracle Fusion Cloud HCM (Human Resources)
- Oracle Fusion Cloud SCM (Supply Chain Management)
- Oracle Fusion Cloud CX (Customer Experience)
- Architecture: How Fusion Agentic Applications Work Under the Hood
- Pricing and Licensing: What It Actually Costs
- Oracle vs. Salesforce Agentforce vs. SAP Joule: Where Each Wins
- What This Means for Automation Architects
- 1. The “Build Outside, Integrate Later” Pattern Is Dying
- 2. Pro-Code Access Changes the Developer Equation
- 3. The 80,000 Certified Experts Number Matters
- 4. Governance Is the Differentiator, Not AI Capability
- Getting Started: A Practitioner’s Roadmap
- Frequently Asked Questions
- Do Fusion Agentic Applications require additional licensing beyond Oracle Fusion Cloud?
- Can I build custom agentic applications with my own development tools?
- How do Fusion Agentic Applications handle security and compliance?
- Can third-party agents work with Fusion Agentic Applications?
- What’s the difference between an AI agent and a Fusion Agentic Application?
- Key Takeaways
- References
This guide walks through what Fusion Agentic Applications actually are, how the new AI Agent Studio builder experience works across no-code, low-code, and pro-code tiers, what the 22 launch applications cover, how Oracle’s approach compares to Salesforce Agentforce and SAP Joule, and what this means for practitioners building the next generation of enterprise automation.
Table of Contents
- What Are Oracle Fusion Agentic Applications?
- Oracle AI Agent Studio: The Builder Platform
- The New Pro-Code Builder Experience (July 2026)
- The 22 Fusion Agentic Applications by Domain
- Architecture: How Fusion Agentic Applications Work Under the Hood
- Pricing and Licensing: What It Actually Costs
- Oracle vs. Salesforce Agentforce vs. SAP Joule
- What This Means for Automation Architects
- Getting Started: A Practitioner’s Roadmap
- FAQs
- Key Takeaways
- References
What Are Oracle Fusion Agentic Applications?
Fusion Agentic Applications are a new class of enterprise software that Oracle introduced with Release 26B. Unlike traditional enterprise applications that record data and wait for human action, agentic applications are outcome-driven systems backed by teams of specialized AI agents that reason, coordinate, and decide — then execute work through Fusion business objects, workflows, tools, policies, approvals, and logged actions.
The distinction matters. A copilot suggests; an agent acts. A chatbot answers questions about invoice status; an agentic application evaluates overdue balances, assesses risk signals, prioritizes collection actions, drafts customer communications, and routes exceptions to human reviewers — all within the existing Fusion security and governance framework.
“Enterprise software is moving beyond systems that record work to systems that actively drive and execute outcomes,” said Chris Leone, Executive Vice President of Applications Development at Oracle, in the July 14 announcement.
Four Defining Characteristics
Oracle defines Fusion Agentic Applications by four properties that separate them from copilots, chatbots, and standalone AI automation tools:
- Outcome-driven coordination. Instead of performing individual tasks, teams of specialized agents work together to deliver complete business results. A single agentic application might coordinate a sourcing agent, an engineering analysis agent, and a supplier communication agent — each with its own specialty — to achieve a defined procurement objective.
- Adaptive user experience. The UX adapts to the specific user and the work being performed. Rather than presenting a fixed set of screens, the interface reshapes itself based on context, role, and the current state of the workflow.
- Autonomous actions. Agents handle routine, repetitive actions autonomously, keeping work moving while surfacing exceptions and decisions that require human judgment. The line between “do it automatically” and “ask a human” is governed by configurable policies and approval hierarchies.
- Native Fusion foundation. These applications are built natively on the Oracle Fusion data model, security, and business rules. AI reasoning is grounded in actual business logic — not a disconnected copy of data or an external orchestration layer bolted on after the fact.
This last point is Oracle’s key differentiator. Fusion Agentic Applications inherit identity management, role-based access, approval frameworks, and end-to-end traceability from the existing Fusion runtime. There’s no separate AI infrastructure to manage, no custom integration layer to build, and no additional security model to configure.
Oracle AI Agent Studio: The Builder Platform
Oracle AI Agent Studio for Fusion Applications is the design-time environment where organizations create, extend, deploy, and manage AI agents and agent teams. It was first introduced in March 2025 as a no-code tool for business users and has evolved significantly since then.
What AI Agent Studio Provides
The studio is available at no additional cost to Oracle Fusion Applications customers and includes:
- Agent creation and orchestration — Build individual agents and compose them into teams with defined coordination patterns
- Advanced testing and validation — Test agents against production-like scenarios before deployment
- Oracle AI Agent Marketplace — Access a growing catalog of pre-built agents, workflows, connectors, templates, and (as of the July update) complete agentic applications from Oracle and partners
- Built-in security and governance — Agents inherit Fusion’s existing security model, including role-based access, approval hierarchies, and audit trails
- Monitoring and observability — Token tracking, telemetry, evaluation tools, and visibility into agent decision paths (added in the October 2025 update)
As of July 2026, Oracle reports over 80,000 certified experts trained in AI Agent Studio — a significant ecosystem investment that suggests Oracle is treating this as a foundational capability rather than a feature release.
The 1,000+ Agent Foundation
Oracle has shipped over 1,000 AI agents across Fusion Applications. These aren’t experimental features; they’re production-grade components embedded into the ERP, HCM, SCM, and CX modules that thousands of organizations already run. The 22 new Fusion Agentic Applications are built on top of this agent foundation, combining multiple agents into coordinated, outcome-driven workflows.
The New Pro-Code Builder Experience (July 2026)
The July 14 announcement is the one that matters most for developers and automation architects. Oracle expanded AI Agent Studio from a primarily no-code/low-code platform into a unified builder experience that spans natural language, low-code, and pro-code development.
What Changed
The centerpiece is the new AI Studio Skill — a capability that lets professional developers use their existing tools to build Fusion Agentic Applications. Specifically, developers can now:
- Build agents and agentic applications using Visual Studio Code
- Use standard command-line interfaces (CLIs)
- Manage code with Git-based lifecycle management
- Leverage AI coding agents and assistants — Oracle explicitly named OpenAI Codex and Anthropic’s Claude Code as supported tools
- Run local validation, debugging, and CI/CD workflows
“We started with people who can use natural language or a little bit of coding — no-code to low-code people,” said Natalia Rachelson, Senior Vice President of Applications Development at Oracle, in an interview with SiliconANGLE. “But we’re now going to go after what’s called pro-code people.”
How It Works in Practice
The workflow is designed to feel native to professional developers:
- Describe the business outcome — The developer specifies what the agentic application should achieve (e.g., “increase renewal rate by 15%”)
- Load the AI Studio Skill into a compatible coding agent (Codex, Claude Code, or any tool that supports skill-based prompting)
- The coding agent generates Fusion artifacts — agent definitions, workflow configurations, tool bindings, and UX components — all conforming to the Fusion-native framework
- Validate and test locally — Standard debugging and validation against the Fusion runtime
- Deploy via Git-based CI/CD — The same lifecycle management patterns professional developers already use
Rachelson used a renewal management example: an organization tells an agentic application to increase its renewal rate by a specified amount. The application examines historical and current records, identifies opportunities, drafts renewal contracts, and potentially sends them to customers — all reasoning and transacting against data already in Fusion, not a detached copy.
Developer Resources
Oracle also announced a new public GitHub repository providing templates, starter projects, sample applications, reusable assets, and reference architectures. This is notable because Oracle’s enterprise software development has historically been a closed ecosystem — opening a GitHub-based resource path signals a genuine cultural shift toward meeting developers where they already work.
The 22 Fusion Agentic Applications by Domain
Release 26B introduced 22 Fusion Agentic Applications across four pillars. Here’s what each domain covers:
Oracle Fusion Cloud ERP (Finance)
| Application | What It Does |
|---|---|
| Collectors Workspace | Evaluates overdue balances, invoice aging, risk signals, and recent interactions to recommend high-priority collection actions. Agents prioritize accounts, draft communications, and route escalations. |
| Cost Accounting Close Workspace | Coordinates cost accounting activities during period close, surfacing exceptions and automating routine reconciliation tasks. |
| Security Command Centre | Monitors and responds to security-relevant events across the Fusion environment, coordinating investigation and remediation workflows. |
Oracle Fusion Cloud HCM (Human Resources)
| Application | What It Does |
|---|---|
| Workforce Operations Command Center | Evaluates staffing coverage, policy risk, absence requests, and timecard data. Handles shift-drop requests with recommended replacements, flags policy conflicts, and enables bulk absence approvals. |
| Career Advancement Workspace | Coordinates career development activities, matching employee skills and goals to internal opportunities. |
| Manager Support Workspace | Assists managers with day-to-day people management tasks, surfacing actionable insights about team operations. |
| Learning & Talent Workspaces | Manages training recommendations, skill gap analysis, and talent pipeline coordination. |
Oracle Fusion Cloud SCM (Supply Chain Management)
| Application | What It Does |
|---|---|
| Design-to-Source Workspace | Bridges engineering and strategic sourcing — agents reason across design changes, manage supplier risk, and automate RFQ processes. This is the flagship cross-functional example. |
| Product Readiness Workspace | Coordinates product launch readiness across engineering, manufacturing, and commercial teams. |
| Production Shift Operations Workspace | Manages production floor operations, shift scheduling, and equipment utilization. |
| Sales Order Command Centre | Orchestrates order processing, fulfillment, and exception handling across the order-to-cash cycle. |
| Batch Process Manufacturing Workspace | Manages batch production workflows for process manufacturing environments. |
| Logistics Execution Command Centre | Coordinates transportation, warehousing, and delivery operations. |
| Maintenance Operations Workspace | Manages asset maintenance scheduling, work orders, and predictive maintenance workflows. |
| Warehouse Operations Workspace | Coordinates warehouse activities including receiving, putaway, picking, and shipping. |
| Sourcing Command Centre | Manages strategic sourcing activities, supplier evaluation, and procurement optimization. |
Oracle Fusion Cloud CX (Customer Experience)
| Application | What It Does |
|---|---|
| Sales Command Center | Identifies contract renewal risk, recommends quote revisions based on total contract value and margin analysis, and prepares customer presentations and follow-up communications. |
| Service Manager Workspace | Reasons over customer history and support data to identify escalations before they impact satisfaction. Agents coordinate service responses across channels. |
| Marketing Campaign Workspace | Evaluates customer data, prepares campaign content, and segments audiences for cross-selling initiatives. |
These 22 applications ship as part of Release 26B and are available to existing Fusion Cloud customers. They extend the foundation of 1,000+ individual AI agents already embedded in Fusion Applications.
Architecture: How Fusion Agentic Applications Work Under the Hood
Understanding the architecture is essential for automation architects evaluating whether Oracle’s approach fits their enterprise strategy.
Native Runtime, Not a Bolt-On
The critical architectural decision Oracle made is running agentic applications inside the Fusion runtime rather than alongside it. This means:
- No separate AI infrastructure. Agents execute within the same runtime that processes business transactions. There’s no external orchestration layer, no message queue between “the AI system” and “the business system.”
- Direct business object access. Agents reason against live transactional data — the actual invoices, purchase orders, employee records, and workflows that Fusion manages. Not a synced copy, not an API-mediated view.
- Inherited governance. Identity, roles, permissions, approval hierarchies, and audit trails are the same ones the organization already configured for Fusion. There’s no parallel security model to maintain.
This is fundamentally different from the pattern where organizations build AI agents outside their enterprise system and then spend months integrating identity, data access, approvals, audit trails, and lifecycle management. As Rachelson put it: “They’re not really a bolt-on, like an extra layer. They operate inside Fusion.”
Agent-to-Agent Interoperability
Oracle also built support for agent-to-agent interoperability patterns. This means:
- Oracle AI Data Platform agents can participate in Fusion workflows
- Third-party agents can connect and coordinate with Fusion Agentic Applications
- Custom-built agents have the same execution capabilities as Oracle’s own agents
This open execution model is important for enterprises that run multi-vendor AI stacks — it means Oracle isn’t requiring organizations to go all-in on Oracle-only AI.
Auditability and Traceability
Every Fusion Agentic Application provides step-by-step traceability of agent decisions, tools used, and execution paths. This isn’t optional observability — it’s a fundamental requirement for regulated industries (financial services, healthcare, public sector) where “the AI decided” is not an acceptable audit response. Organizations can trace exactly which agent made which decision, what data it accessed, and what policy governed the action.
Pricing and Licensing: What It Actually Costs
Oracle’s pricing model for Fusion AI agents uses an AI Unit consumption framework:
| Component | Cost |
|---|---|
| AI Agent Studio platform | No additional cost for Fusion customers |
| Basic LLM usage | No AI Unit consumption (effectively free) |
| Premium LLM usage | ~5 AI Units per action (~$0.03–$0.05 per query) |
| Monthly allocation | 20,000 AI Units included |
| Additional capacity | 100,000 AI Unit packs at $1,000 each (with rollover) |
Notably, there’s no pricing distinction between seeded Oracle agents, custom-built agents, and marketplace agents — they all consume from the same AI Unit pool. The “no additional cost” framing for the studio itself is significant; Oracle is betting that the platform’s value will come from deeper Fusion adoption and higher cloud consumption, not from charging for the builder tools.
Oracle vs. Salesforce Agentforce vs. SAP Joule: Where Each Wins
Enterprise buyers evaluating agentic AI platforms inevitably compare Oracle’s approach to Salesforce and SAP. Here’s a practitioner’s breakdown:
| Dimension | Oracle Fusion Agentic Apps | Salesforce Agentforce | SAP Joule |
|---|---|---|---|
| Architecture | Agents run natively inside Fusion runtime; direct business object access | Agent platform on Salesforce Data Cloud; strong CRM-native integration | Cross-module copilot across SAP landscape; embedded in BTP |
| Sweet spot | Back-office: Finance, HR, Supply Chain, Manufacturing | Front-office: Sales, Service, Marketing, Commerce | End-to-end value chain for SAP-centric organizations |
| Builder experience | No-code + low-code + pro-code (VS Code, CLI, Git, AI coding agents) | Low-code Agent Builder + Prompt Builder; limited pro-code extensibility | SAP Build AI + BTP; developer tools improving but less mature |
| Agent marketplace | Oracle AI Agent Marketplace (expanding to full agentic apps) | AppExchange + Agentforce partner ecosystem | SAP Store + partner solutions |
| Governance | Inherited from Fusion: roles, approvals, audit trails, policy controls | Einstein Trust Layer; data masking and grounding | SAP security model; data governance via BTP |
| Pricing model | AI Unit consumption (~$0.01/unit); 20K monthly included | $2/conversation (Agentforce); volume discounts available | Bundled with SAP AI licensing; varies by module |
| Scale signal | 1,000+ agents shipped; 22 agentic apps; 80,000 certified experts | $1.4B ARR with 114% growth; 75%+ of top deals include Agentforce | 400,000+ SAP customers; Joule embedded across S/4HANA, SuccessFactors, Ariba |
The Verdict
Choose Oracle when your organization runs Oracle Fusion Cloud for back-office operations and needs agentic capabilities that operate natively against ERP, HCM, and SCM data with full governance and auditability. The pro-code builder is the strongest option for organizations with professional developers who want to extend enterprise AI using modern tooling.
Choose Salesforce Agentforce when your priority is customer-facing operations — sales, service, marketing, commerce — and you’re already invested in the Salesforce ecosystem. Agentforce’s conversation-based pricing and commerce integrations (including the new OpenAI/ChatGPT and Google Shopping connections) make it the front-office leader.
Choose SAP Joule when your organization is SAP-centric and needs agentic capabilities that span the full value chain. SAP’s advantage is breadth across 400,000+ customers, but the platform’s complexity (multiple clouds, data models, and process models) makes cross-module agent coordination harder than Oracle’s unified approach.
In reality, many large enterprises will use more than one. Oracle’s support for agent-to-agent interoperability with third-party agents acknowledges this multi-vendor reality.
What This Means for Automation Architects
If you’re an automation architect, solution architect, or RPA developer, Oracle’s Fusion Agentic Applications represent a significant shift in how enterprise automation gets built and deployed. Here’s what to pay attention to:
1. The “Build Outside, Integrate Later” Pattern Is Dying
The traditional approach — build an AI agent externally, then spend months wiring it into the enterprise system’s identity, data, approvals, and audit framework — is increasingly uncompetitive. Oracle, Salesforce, and SAP are all moving toward native agentic capabilities where the AI runs inside the system of record. If you’re still building standalone automation agents that need custom integration layers, the platform vendors are making that pattern obsolete.
2. Pro-Code Access Changes the Developer Equation
Oracle’s decision to open AI Agent Studio to VS Code, Git, CLI workflows, and AI coding agents (Codex, Claude Code) means professional developers can now build enterprise-grade agentic applications without learning Oracle’s proprietary tooling. This is a talent acquisition play — the pool of developers who know VS Code and Git is orders of magnitude larger than the pool who know Oracle’s traditional development tools.
3. The 80,000 Certified Experts Number Matters
For practitioners, the certified ecosystem size is a leading indicator of job market depth. 80,000 certified Oracle AI Agent Studio experts means training programs, partner implementations, and consulting opportunities are already scaling. If you’re considering adding Oracle agentic skills to your resume, the ecosystem is past the early-adopter phase.
4. Governance Is the Differentiator, Not AI Capability
Every major enterprise software vendor now has AI agents. The competitive differentiation has shifted from “can it do AI” to “can it do AI with the governance, auditability, and compliance controls that regulated enterprises require.” Oracle’s native runtime approach — where agents inherit existing Fusion security without additional configuration — is a direct answer to the deployment barrier that kills most agentic automation programs.
Getting Started: A Practitioner’s Roadmap
For automation professionals looking to explore Oracle Fusion Agentic Applications, here’s a practical starting path:
- Assess your Fusion footprint. Fusion Agentic Applications require Oracle Fusion Cloud Applications. If your organization runs Fusion ERP, HCM, SCM, or CX, AI Agent Studio is available at no additional cost.
- Start with the 22 seeded applications. Don’t build custom agents first. Deploy one of the 22 built-in agentic applications in a sandbox environment and observe how it coordinates agents, handles exceptions, and maintains audit trails. The Collectors Workspace (Finance) and Workforce Operations Command Center (HCM) are good starting points because their outcomes are measurable.
- Explore the AI Agent Marketplace. Before building custom, check the marketplace for partner-built agents and agentic applications that address your use case. The marketplace is expanding rapidly.
- Set up the pro-code toolchain. If you have professional developers, install the AI Studio Skill and connect it to your existing VS Code + Git workflow. The new GitHub repository provides templates and starter projects that accelerate the learning curve.
- Map your governance requirements. Before deploying to production, document which roles, approval hierarchies, and audit requirements apply. Fusion Agentic Applications inherit these controls, but you need to ensure they’re correctly configured in your Fusion environment first.
- Measure outcomes, not activity. Fusion Agentic Applications are outcome-driven by design. Set clear success metrics (days sales outstanding reduced by X, renewal rate increased by Y, shift coverage gaps reduced by Z) and track them — don’t just count how many agents you deployed.
Frequently Asked Questions
Do Fusion Agentic Applications require additional licensing beyond Oracle Fusion Cloud?
Oracle AI Agent Studio is available at no additional cost to Fusion Cloud customers. However, AI agent usage consumes AI Units — you get 20,000 monthly units included, and additional 100,000-unit packs cost $1,000 each with rollover. Basic LLM usage has no unit consumption; premium actions cost approximately 5 units each (~$0.03–$0.05 per query).
Can I build custom agentic applications with my own development tools?
Yes, as of July 2026. The new AI Studio Skill supports Visual Studio Code, standard CLIs, Git-based workflows, and AI coding assistants including OpenAI Codex and Claude Code. You can use local validation, debugging, and CI/CD pipelines. A public GitHub repository provides templates and starter projects.
How do Fusion Agentic Applications handle security and compliance?
Agents inherit the existing Fusion security model — role-based access, approval hierarchies, permissions, and policies. Every agent action is logged with step-by-step traceability of decisions, tools used, data accessed, and execution paths. There’s no separate security configuration required beyond what you’ve already set up in Fusion.
Can third-party agents work with Fusion Agentic Applications?
Yes. Oracle supports agent-to-agent interoperability patterns that allow Oracle AI Data Platform agents, third-party agents, and custom-built agents to participate in Fusion workflows with the same capabilities as native agents.
What’s the difference between an AI agent and a Fusion Agentic Application?
An AI agent is a single specialized component that performs a specific task (e.g., analyzing invoice aging). A Fusion Agentic Application is a complete business application composed of multiple coordinated agents, user experiences, workflows, tools, policy controls, approvals, and runtime assets — all working together toward a defined business outcome.
Key Takeaways
- Oracle launched 22 Fusion Agentic Applications across ERP, HCM, SCM, and CX in Release 26B — outcome-driven systems powered by coordinated agent teams, not standalone copilots.
- The July 2026 pro-code builder opens AI Agent Studio to VS Code, Git, CLI, and AI coding agents (Codex, Claude Code), dramatically expanding the developer audience beyond Oracle specialists.
- Native Fusion runtime means agents operate directly against live business data with inherited security, governance, and audit trails — no external orchestration layer required.
- Pricing uses an AI Unit consumption model with 20,000 monthly units included and the builder platform at no additional cost.
- 80,000+ certified experts signal a maturing ecosystem with real job market and consulting demand.
- The competitive landscape is domain-specific: Oracle leads in back-office (ERP/HCM/SCM), Salesforce in front-office (Sales/Service/Commerce), and SAP across the full value chain for SAP-centric organizations.
- For automation architects, the key insight is that platform-native agentic AI (where agents run inside the system of record) is replacing the “build outside, integrate later” pattern.
References
- Oracle. “Oracle Introduces AI-Native Builder Experience to Create and Run Agentic Applications in Oracle Fusion Applications.” Oracle Press Release, July 14, 2026. Link
- Dotson, Kyt. “Oracle opens Fusion Agentic Applications to pro-code developers and coding agents.” SiliconANGLE, July 14, 2026. Link
- Oracle. “Oracle Introduces Fusion Agentic Applications.” Oracle Press Release, March 24, 2026. Link
- Oracle Fusion Development Team. “New Fusion Agentic Applications — details and demos.” Oracle Fusion Insider Blog, May 15, 2026. Link
- Oracle. “Oracle Expands AI Agent Studio for Fusion Applications with Agentic Applications Builder.” Oracle Press Release, March 24, 2026. Link
- TechTarget. “Oracle AI agent builder brings no-code, low-code and pro-code together.” TechTarget, July 2026. Link
- Futurum Group. “Oracle’s Fusion Agentic Apps: Can Platform-First AI Finally Deliver Enterprise ROI?” Futurum Group, 2026. Link
- Version1. “Oracle Fusion AI Agents 26C Pricing Explained.” Version1, 2026. Link
- ERP Today. “Oracle’s Next Agentic AI Move Puts Builders Inside Fusion.” ERP Today, July 2026. Link
- CIO. “Oracle supercharges AI Agent Studio to rival Microsoft, Google, and Salesforce.” CIO, 2026. Link
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