Oracle launches 22 AI agents to transform Fusion Cloud into autonomous enterprise software

6 Sources

Share

Oracle unveiled Fusion Agentic Applications, embedding 22 AI agents across its cloud suite to handle invoicing, procurement, and data entry autonomously. The move shifts enterprise software from passive record-keeping to active execution, letting humans focus on strategy while AI agents manage routine workflows across finance, HR, and supply chain operations.

Oracle Embeds AI Agents Directly Into Core Business Workflows

Oracle announced a major shift in how enterprises handle routine operations by launching Fusion Agentic Applications, a new class of AI-powered tools embedded directly into Oracle Fusion Cloud Applications

2

. The company introduced 22 new agentic AI capabilities designed to reason, decide, and act across finance, HR, supply chain, and customer experience functions

3

. Unlike traditional copilot-style add-ons, these AI agents operate natively within transactional systems, giving them direct access to enterprise data, workflows, policies, and approval hierarchies

2

.

Source: Market Screener

Source: Market Screener

The announcement, made at Oracle's AI World Tour London event, addresses growing investor concerns about traditional software's longevity, with company shares down roughly 20% year-to-date

1

. Chris Leone, executive vice president of applications development at Oracle, explained that the company believes AI is moving from advisory roles to actual work execution for enterprise organizations

2

.

Autonomous Enterprise Software Handles Low-Value Administrative Work

The new Fusion Agentic Applications are built around coordinated groups of specialized AI agents that collaborate to achieve specific business objectives, fundamentally changing how companies automate administrative tasks

2

. Oracle designed these AI-powered tools to handle invoicing, purchase orders, data entry, and other low-value administrative work, freeing humans to focus on negotiations, strategy, and risk decisions

1

.

Source: SiliconANGLE

Source: SiliconANGLE

The applications target four primary goals: fewer payroll issues, lower supplier sourcing costs, reduced customer acquisition costs, and faster cash collection

1

. Leone compared the model to assembling a team of specialists, noting that each agent has a specialty while the overall agentic application pursues a particular outcome

2

. Early testing shows organizations have reported time savings of 40% to 50% in support scenarios

2

.

AI Agent Studio Gets No-Code Builder and ROI Dashboard

Oracle updated its AI Agent Studio with an Agentic Applications Builder that allows customers to create their own agent-driven applications using natural language

2

. The no-code agent builder enables companies to assemble teams of AI agents and connect them to enterprise data and workflows without requiring technical expertise

1

.

The platform now includes capabilities for workflow orchestration, contextual memory, content intelligence, and performance monitoring, including dedicated ROI dashboards to measure the return on investment of AI-driven processes . Leone emphasized that companies need this support to fine-tune their agents based on workflows and priorities

1

. Oracle also highlighted a partner ecosystem of more than 63,000 certified experts trained in AI Agent Studio

3

.

Data Governance and Security Built Into Oracle Cloud Infrastructure

Oracle introduced agentic AI innovations for Oracle AI Database, designed to architect agentic AI and data together across operational databases and analytic lakehouses

4

. The system enables AI agents to securely access real-time enterprise data and use it with Large Language Models (LLMs) to provide business insights without building and maintaining complex data-movement pipelines

3

.

Source: Analytics Insight

Source: Analytics Insight

Oracle emphasized that its AI Database is built to safeguard data from external attacks, insider misuse, accidental disclosure, and unintended exposure to LLMs across multicloud, hybrid, and on-premises environments

3

. The agents inherit role-based access controls and data permissions from existing application security frameworks in Fusion Applications, with auditability features to track changes to agent behavior

2

. The software continues operating within existing controls, including permissions, approvals, and policy rules

5

.

Enterprise Automation Pricing Model and Partner Ecosystem

Oracle is adopting a hybrid pricing model for the new capabilities. Basic agents using built-in models are included with existing applications at no additional cost, while more advanced capabilities powered by premium Large Language Models will incur usage-based charges

2

. The company plans to expand the ecosystem by enabling partners to build and distribute their own agentic applications, positioning the platform as a foundation for broader task automation

2

.

The system supports integration with external platforms through application programming interfaces and the open-source Agent2Agent protocol developed by Google, allowing queries to be sent to agents in external applications

2

. Leone indicated that the shift toward agent-driven execution is likely to become standard across the industry, stating that all systems of record will need to become systems of execution

2

.

Today's Top Stories

TheOutpost.ai

Your Daily Dose of Curated AI News

Don’t drown in AI news. We cut through the noise - filtering, ranking and summarizing the most important AI news, breakthroughs and research daily. Spend less time searching for the latest in AI and get straight to action.

© 2026 Triveous Technologies Private Limited
Instagram logo
LinkedIn logo