IBM Unveils AI Agents Marketplace for Oracle Fusion Applications: Enhancing Automation and Efficiency in Business Software Solutions

IBM, Oracle unleash Next-Generation AI Agents to Revolutionize Business Operations

October 16, 2025 – Armonk, N.Y.

International business Machines Corporation (IBM) Today Announced a strategic collaboration with Oracle to deliver a suite of cutting-edge Artificial Intelligence (AI) agents. These agents, now available on the Oracle Fusion Applications AI Agent Marketplace, are poised to redefine operational efficiency for businesses across industries.

The partnership represents a critically important stride in agentic AI,where AI proactively assists users by automating tasks and making intelligent decisions. It aligns with a growing trend; a recent report by Gartner predicts that by 2027, AI-powered agentic platforms will automate 30% of knowledge work tasks, up from 10% in 2023.

New AI Agents for Oracle Fusion Applications

IBM Consulting has developed three initial AI agents, seamlessly integrated with Oracle AI Agent Studio. These agents are designed to streamline complex workflows and reduce manual effort.

• Intercompany Agent: Automates the often-tedious review of intercompany agreements, ensuring compliance and accuracy.
• Smart Sales Order Entry Agent: Accelerates the sales-order creation process by automatically populating relevant data, reducing errors and improving order fulfillment times.
• Requisition to Contract Agent: Simplifies the conversion of purchase requisitions into legally binding contract purchase orders, minimizing delays and potential discrepancies.

“As AI agents rapidly transform enterprise applications, organizations are seeking new ways to drive productivity, agility, and innovation at scale,” said Kaushal Kurapati, Global Vice president of Product Management for Fusion AI at oracle. “These new IBM AI agents will help customers address unique business needs and drive growth.”

Neil dhar, Global Managing Partner at IBM Consulting, emphasized the synergy between the two companies. “Oracle and IBM are combining our collective expertise to help clients embrace agentic AI,” said Dhar. “These agents will bring the power of AI directly to our joint clients for maximum business impact.”

expanding the AI Ecosystem with watsonx Orchestrate

IBM is further extending its commitment to the Oracle ecosystem with plans to release additional AI agents built on IBM watsonx Orchestrate. These upcoming agents will focus on optimizing Human Resources (HR) and Supply Chain processes.

watsonx Orchestrate is an enterprise-grade AI solution that enables the development, deployment, and governance of AI agents. It is indeed designed to work seamlessly with Oracle’s own AI agent offerings, providing a multi-agent approach to automation. Red Hat OpenShift AI underpins watsonx Orchestrate, ensuring scalability and reliability.

Additionally, Oracle intends to integrate IBM granite 4.0 family of AI models into its Oracle Cloud Infrastructure Data science via AI Fast Actions, broadening the range of AI capabilities available to users.

Agent	Function	Technology
Intercompany Agent	Automates intercompany agreement review	Oracle AI Agent Studio
Smart Sales Order Entry Agent	Streamlines sales order creation	Oracle AI Agent Studio
Requisition to Contract Agent	Simplifies requisition-to-contract conversion	Oracle AI Agent Studio
Future HR Agent	Optimizes HR processes	IBM watsonx Orchestrate
Future Supply chain Agent	enhances supply chain efficiency	IBM watsonx Orchestrate

Did You Know?: The global AI market is projected to reach $1.84 trillion by 2030, with a compound annual growth rate (CAGR) of 38.1% from 2023 to 2030, according to Grand View Research.

pro Tip: When evaluating AI solutions, prioritize those that offer robust data security and compliance features, especially when dealing with sensitive business information.

For further information on the new agents for Oracle Fusion Applications and the IBM-Oracle partnership, please visit https://www.ibm.com/consulting/oracle.

The Rise of Agentic AI: A Long-Term Outlook

Agentic AI represents a paradigm shift in how businesses interact with technology. Unlike traditional AI systems that require explicit instructions, agentic AI can independently identify problems, formulate solutions, and execute tasks.This capability has the potential to unlock significant productivity gains and drive innovation across industries. The increasing demand for AI tools that can automate complex work processes is expected to continue fueling the growth of the agentic AI market. Businesses that adopt these technologies early on are likely to gain a competitive advantage in the long run.

Frequently Asked Questions

1. What is agentic AI? Agentic AI refers to AI systems that can act independently to achieve specific goals, automating tasks and making decisions without constant human intervention.
2. How do the new IBM agents integrate with Oracle Fusion Applications? These agents are built with Oracle AI Agent Studio, ensuring seamless integration within the Oracle Fusion Applications habitat.
3. What are the benefits of using AI agents for intercompany agreements? AI agents automate the review process, ensuring greater accuracy, compliance, and reduced manual effort.
4. What is IBM watsonx Orchestrate? watsonx Orchestrate is IBM’s enterprise-grade AI solution for building, deploying, and managing AI agents, powered by Red Hat OpenShift AI.
5. What industries will benefit most from these AI agents? Businesses in finance, supply chain, HR, and sales stand to gain significant benefits from streamlining their processes with agentic AI.

What are your thoughts on the future of AI in business? Share your comments below!

How will IBM ensure data security and privacy when AI agents access and process sensitive information within Oracle Fusion Applications?

What are IBM AI Agents and Why Oracle Fusion?

IBM recently launched a dedicated marketplace for AI agents specifically designed too integrate with Oracle Fusion Applications. This move addresses a growing need for smart automation within enterprise resource planning (ERP) and othre critical business processes. The core idea revolves around leveraging generative AI to automate complex tasks, freeing up human employees for higher-value work.oracle Fusion Applications, a suite encompassing ERP, supply chain management (SCM), customer relationship management (CRM), and human capital management (HCM), represent a meaningful market possibility for AI-driven automation.

The integration isn’t simply about adding “AI” to existing workflows; it’s about creating autonomous processes. These AI agents,built on IBM’s watsonx platform,can understand natural language,learn from data,and execute tasks with minimal human intervention. This is a key differentiator from conventional Robotic Process Automation (RPA), which often relies on pre-defined rules and struggles with unstructured data.

Key Capabilities of the AI Agents Marketplace

The marketplace offers a range of pre-built AI agents, categorized by business function. Here’s a breakdown of some key capabilities:

* Financial Management: Automating invoice processing, reconciliation, and financial reporting.Agents can identify discrepancies, flag potential fraud, and generate insights from financial data.

* Supply Chain Optimization: Predicting demand fluctuations, optimizing inventory levels, and automating procurement processes. This includes tasks like purchase order creation and supplier dialogue.

* Human Resources: Automating employee onboarding, benefits administration, and performance management. AI agents can answer employee queries, schedule interviews, and personalize learning paths.

* Customer Service: Resolving customer inquiries, processing orders, and providing personalized recommendations. Agents can integrate with existing CRM systems to deliver a seamless customer experience.

* Sales Automation: Lead qualification, opportunity management, and sales forecasting. AI can analyze sales data to identify high-potential leads and predict future revenue.

These agents aren’t limited to these areas. IBM emphasizes the platform’s extensibility, allowing businesses to build custom agents tailored to their specific needs.

How the Integration with Oracle Fusion Works

The integration between IBM’s AI agents and Oracle Fusion Applications is facilitated through a combination of APIs and pre-built connectors.This allows the agents to securely access and interact with data within the Oracle ecosystem.

Here’s a simplified view of the process:

1. Data Access: The AI agent requests data from oracle Fusion Applications via API.
2. Data Processing: The agent uses its AI capabilities (natural language processing, machine learning) to analyze the data.
3. Action execution: based on the analysis, the agent executes a specific action within Oracle Fusion Applications, such as updating a record or triggering a workflow.
4. Feedback Loop: The agent learns from the results of its actions, continuously improving its performance.

This seamless integration is crucial for ensuring data accuracy and minimizing disruption to existing business processes.

Benefits of Implementing AI Agents in Oracle Fusion Applications

The benefits of adopting these AI agents are substantial:

* Increased Efficiency: Automate repetitive tasks, freeing up employees to focus on strategic initiatives.

* Reduced Costs: Lower operational expenses by streamlining processes and reducing manual errors.

* Improved Accuracy: Minimize errors and ensure data consistency through AI-powered validation.

* Enhanced Decision-making: Gain deeper insights from data through AI-driven analytics.

* Scalability: Easily scale automation efforts to meet changing business needs.

* Faster Time to Value: Pre-built agents accelerate deployment and deliver immediate results.

Practical Tips for Prosperous Implementation

Implementing AI agents requires careful planning and execution. Here are some practical tips:

1. Identify Pain Points: Start by identifying the most time-consuming and error-prone processes within your Oracle Fusion Applications environment.
2. Define Clear Objectives: Set specific, measurable, achievable, relevant, and time-bound (SMART) goals for your AI automation initiatives.
3. Data Quality is Key: Ensure your data is clean, accurate, and consistent before deploying AI agents. Garbage in, garbage out.
4. Start Small: Begin with a pilot project to test the effectiveness of AI agents in a controlled environment.
5. Monitor and Optimize: Continuously monitor the performance of AI agents and make adjustments as needed.
6. Employee Training: Provide adequate training to employees on how to work alongside AI agents. Address concerns about job displacement and emphasize the benefits of collaboration.

Real-World Examples & Early Adopters

While widespread adoption is still in its early stages, several companies are already exploring the potential of IBM’s AI agents for Oracle Fusion Applications.A notable example is a large manufacturing company utilizing AI agents to automate invoice processing, resulting in a 30% reduction in processing time and a significant decrease in errors. Another case involves a retail organization leveraging AI-powered demand forecasting to optimize inventory levels and reduce stockouts. These early successes demonstrate the tangible value of this technology.

The Future of AI-Powered ERP

The launch