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Introduction: The Enterprise AI Era Has Officially Begun
Artificial Intelligence has rapidly evolved from a productivity assistant into a decision-making engine capable of executing complex business operations. For years, organizations have experimented with chatbots, copilots, workflow automation, and standalone AI tools. While these technologies improved productivity, they often remained disconnected from the core enterprise systems responsible for executing critical business processes.
Oracle is attempting to change that paradigm.
Instead of creating another AI assistant that simply recommends actions, Oracle has introduced an entirely new category of enterprise software called Fusion Agentic Applications. These applications combine teams of specialized AI agents with Oracle Fusion Cloud Applications, enabling AI to reason, coordinate, make decisions, and execute business operations directly inside enterprise workflows while maintaining security, governance, approvals, and complete auditability.
This announcement represents much more than another AI feature release. It signals Oracle’s vision that enterprise applications will no longer simply record business activities—they will actively perform them.
Oracle Launches an AI-Native Builder for Enterprise Applications
Oracle has unveiled a completely redesigned AI-native builder experience within Oracle AI Agent Studio for Fusion Applications. The platform enables customers, developers, partners, and even non-technical business users to create sophisticated AI-powered applications directly inside Oracle Fusion Cloud Applications.
Unlike traditional automation tools that require external orchestration platforms or disconnected AI services, Fusion Agentic Applications operate natively inside Oracle’s enterprise ecosystem.
This architecture allows AI agents to access business objects, company workflows, security policies, approval mechanisms, governance controls, and audit logs without requiring complicated integrations.
Rather than building automation around enterprise software, Oracle has embedded intelligence directly into the enterprise software itself.
A New Generation of Enterprise Applications
Oracle describes Fusion Agentic Applications as an entirely new class of enterprise software.
Traditional enterprise applications primarily serve as systems of record. Employees perform actions while the software records transactions, approvals, financial entries, inventory movements, or HR updates.
Fusion Agentic Applications reverse that relationship.
Instead of waiting for employees to initiate every process, teams of specialized AI agents collaborate to achieve predefined business outcomes.
These agents can:
Analyze operational data
Coordinate with other AI agents
Make intelligent decisions
Execute business workflows
Request approvals
Follow organizational policies
Record every action automatically
The result is software capable of performing work rather than merely documenting it.
AI Built Directly Into Enterprise Operations
One of
Many organizations currently build AI systems outside their ERP, CRM, or HCM platforms before connecting them through APIs.
That approach often creates challenges involving:
Identity management
Access permissions
Compliance
Data synchronization
Governance
Security monitoring
Lifecycle management
Logging
Auditing
Oracle removes much of this complexity by allowing AI applications to operate directly inside Fusion Applications.
Because AI agents inherit Oracle
Designed for Every Type of Developer
Oracle’s new builder experience supports three different development models.
Natural Language Development
Business users with little or no programming experience can describe the application they want using natural language.
The Agentic Applications Builder interprets those requests and generates enterprise-ready AI workflows.
Low-Code Development
Business analysts and technical users can visually design workflows using graphical interfaces while customizing application logic without extensive coding.
Professional Development
Experienced software engineers receive complete development flexibility.
Oracle’s new AI Studio Skill supports:
Visual Studio Code
Standard command-line interfaces
Git repositories
Local debugging
Validation tools
CI/CD pipelines
AI coding assistants
Enterprise deployment workflows
This allows professional developers to continue using familiar engineering practices while building AI-native enterprise systems.
Integration with AI Coding Assistants
Oracle is embracing the growing ecosystem of AI-assisted software development.
Developers can build Fusion Agentic Applications using AI programming assistants including:
Codex
Claude Code
Oracle AI development tools
Instead of replacing developers,
Enterprise Outcomes Instead of Simple Automation
Oracle emphasizes that Fusion Agentic Applications are not AI wrappers around existing software.
They are complete business applications designed around measurable organizational outcomes.
Potential use cases include:
Accelerating financial close processes
Improving customer collections
Reducing customer service escalations
Optimizing workforce scheduling
Streamlining supply chain execution
Coordinating procurement operations
Automating HR workflows
Managing enterprise approvals
The focus shifts from automating isolated tasks to achieving complete business objectives.
Built-In Security and Governance
Security remains one of the strongest selling points of Oracle’s announcement.
Every AI application automatically benefits from:
Existing identity management
Role-based permissions
Organizational policies
Governance controls
Approval chains
Audit logging
Compliance monitoring
Runtime validation
Because these capabilities already exist within Oracle Fusion Applications, organizations can deploy AI without introducing separate governance frameworks.
An Open Ecosystem for Enterprise AI
Oracle also announced improvements to interoperability.
Organizations can coordinate work across:
Oracle AI agents
Partner-built agents
Third-party AI agents
Custom enterprise agents
Support for agent-to-agent communication allows different AI systems to collaborate securely while remaining inside Oracle’s governance framework.
This open architecture reduces vendor lock-in and encourages enterprise AI innovation.
Growing AI Marketplace and Developer Community
Oracle continues expanding its AI ecosystem.
The Oracle AI Agent Marketplace now includes not only reusable AI agents but also complete Agentic Applications.
Additionally, Oracle revealed that more than 80,000 certified professionals have already been trained on Oracle AI Agent Studio.
The expanding developer community provides organizations with access to implementation expertise, reusable templates, reference architectures, and deployment best practices.
Industry Leaders Support
Several major technology consulting firms praised
Accenture highlighted
Constellation Research described
Deloitte emphasized Oracle’s approach to solving one of enterprise AI’s biggest problems: moving successful prototypes into secure production environments.
IDC noted that Oracle enables both technical and non-technical employees to create enterprise AI solutions while maintaining centralized governance.
PwC praised
Oracle Fusion Cloud Applications Continue Expanding
Oracle’s AI strategy extends across its major enterprise platforms.
Fusion Cloud ERP helps organizations automate finance and operations.
Fusion Cloud HCM improves workforce management and employee experiences.
Fusion Cloud SCM enhances supply chain resilience and operational efficiency.
Fusion Cloud CX modernizes customer engagement through AI-powered marketing, sales, and customer service.
Rather than introducing isolated AI products, Oracle is embedding intelligent capabilities across its entire enterprise software portfolio.
Deep Analysis
Oracle’s announcement reflects one of the most significant shifts occurring in enterprise software.
The first generation of enterprise AI focused on answering questions.
The second generation generated content.
The third generation automated isolated workflows.
Fusion Agentic Applications represent what could become the fourth generation: autonomous enterprise execution.
Unlike consumer AI tools that primarily assist users, Oracle’s platform focuses on allowing AI systems to complete work under enterprise governance.
This significantly reduces the operational gap between decision-making and execution.
From an architecture perspective,
Developers also benefit from native Git workflows, Visual Studio Code integration, local testing, CI/CD compatibility, and AI-assisted coding. This makes enterprise AI development resemble modern software engineering rather than proprietary workflow automation.
Example Developer Commands
git clone https://github.com/oracle-ai-agent-studio/examples cd fusion-agentic-app git checkout main git status
git add .
git commit -m "Initial Agentic Application" git push origin main code .
Example CI/CD workflow:
npm install npm test npm run build
Validation example:
oracle-ai validate
oracle-ai deploy
General REST API example:
POST /api/v1/agents/execute
Authorization: Bearer
Content-Type: application/json
Example JSON payload:
{
agent: FinancialCloseAgent,
workflow: MonthlyClose,
approval: true
}
These examples illustrate how Oracle is positioning enterprise AI development alongside modern DevOps practices, enabling repeatable deployments, version control, automated testing, and governed production releases.
What Undercode Say:
Oracle is making an aggressive bet that the future of enterprise software belongs to autonomous AI systems rather than traditional business applications. While many vendors continue adding chat interfaces to existing platforms, Oracle is redesigning the application architecture itself.
The most impressive aspect of this announcement is not the AI itself but the execution model. Security, governance, auditability, identity management, and workflow integration have historically been the largest barriers preventing organizations from deploying AI beyond proof-of-concept projects. Oracle addresses these obstacles by embedding AI directly into Fusion Applications instead of relying on external orchestration layers.
Another important strategic decision is
The growing Oracle AI Marketplace could also become a competitive advantage. Organizations often struggle to build AI applications from scratch. A reusable catalog of enterprise-ready agents and Agentic Applications may significantly reduce deployment time and implementation costs.
However, success will depend on customer trust. Enterprises remain cautious about allowing AI systems to execute financial, HR, procurement, or supply chain operations autonomously. Oracle must continue demonstrating reliability, explainability, transparent decision-making, and robust governance to encourage widespread adoption.
Competition will also intensify. Microsoft, SAP, Salesforce, ServiceNow, Google Cloud, and Amazon Web Services are all investing heavily in enterprise AI agents. Oracle’s native runtime approach differentiates it today, but maintaining that advantage will require continuous innovation.
Ultimately, Oracle is moving enterprise AI beyond copilots toward autonomous digital workforces. If organizations embrace this model, the role of enterprise software may fundamentally change over the coming decade, shifting from passive record-keeping systems to intelligent platforms capable of planning, coordinating, and executing business operations with human oversight.
✅ Accurate: Oracle announced the AI-native builder experience for Oracle AI Agent Studio for Fusion Applications on July 14, 2026, introducing Fusion Agentic Applications designed to run natively within Oracle Fusion Cloud Applications.
✅ Accurate: The platform supports no-code, low-code, and pro-code development, including Visual Studio Code, Git workflows, AI coding assistants, and command-line tooling for professional developers.
✅ Accurate: Oracle stated that more than 80,000 professionals have been certified on Oracle AI Agent Studio and confirmed expansion of both its AI Marketplace and its portfolio of reusable AI agents and Agentic Applications.
Prediction
(+1) Positive Prediction: Enterprise organizations already invested in Oracle Fusion Cloud are likely to accelerate adoption because the platform minimizes security, governance, and compliance challenges that typically slow AI deployment.
(-1) Negative Prediction: Businesses with heterogeneous environments involving multiple ERP vendors may face integration and interoperability challenges despite Oracle’s open agent architecture, potentially delaying enterprise-wide adoption.
(+1) Positive Prediction: Over the next three to five years, enterprise software vendors will increasingly compete on autonomous execution capabilities rather than standalone AI assistants, making Agentic Applications a defining trend across the enterprise software industry.
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References:
Reported By: oracle.com
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