Oracle (ORCL.US) Restructures Financial Procurement Software to Usher in Era of Automation, Leverages Deep AI Capabilities to Break Through "Replacement" Crisis

TechNews Finance APP has learned that at the Oracle AI World conference held in London from 4:00 PM on March 24 (Tuesday) to 1:45 AM on March 25 (Wednesday), global software giant Oracle (ORCL.US) plans to announce a transformation of its cloud-based financial software for large enterprises. The goal is to enable AI agents to collaborate with the software, allowing users to pose business questions to the system, which AI will then determine how to retrieve relevant data.

This change is part of a broader trend where enterprise software providers are modifying their products to be used by AI agents, which can perform tasks on behalf of human users. It also marks Oracle’s shift from traditional software service models toward a new era fully adapted to AI agents.

Specifically, through this restructuring, Oracle aims to break the conventional logic of enterprise resource planning (ERP) systems, transforming them from mere data repositories into proactive assistants with reasoning, decision-making, and execution capabilities. In the future, users will no longer need to manually handle tedious data entry or invoice processing. Instead, they will interact with AI agents to directly address complex strategic business issues such as cost reduction and efficiency improvement, freeing human resources from administrative tasks to focus on high-value activities like supplier negotiations and decision-making.

The core highlight of this transformation is Oracle’s new “Fusion Agentic Applications” category. This suite of applications is driven by multiple specialized AI agent teams that can proactively perform tasks such as cross-departmental data retrieval and purchase order creation within strict security permissions and enterprise workflow frameworks. To further build an ecosystem moat, Oracle has also upgraded its AI Agent Studio development platform, adding an agent application builder.

This tool allows clients and partners to quickly customize and deploy dedicated AI agents tailored to their specific business scenarios without writing code. In the latest development, Oracle is updating its Fusion software suite, which covers core business tasks such as factory production planning and customer collections.

Oracle’s Vice President of Application Development and Execution, Steve Miranda, stated that the company’s goal is to make it easier for enterprises to focus on business issues, such as designing new products at lower costs and faster speeds, while minimizing supply chain disruption risks.

Steve Miranda mentioned that the data needed for these decisions is scattered across Oracle’s suite and connected third-party applications. AI will handle data entry, collection, and recommendation tasks, while human employees will focus on skills such as negotiating with suppliers and assessing the company’s resilience to supply disruptions.

Notably, Oracle has committed to providing these advanced AI agent functionalities free of charge to existing Fusion Applications customers, aiming to enhance competitiveness and customer retention in the existing market.

Steve Miranda said, “For your business or the person responsible for invoicing in your organization, typing out invoices is not a particularly valuable skill. Decision-making still depends to some extent on humans, weighing various pros and cons. But tasks like invoice entry and purchase order input will be fully handled by AI.”

From a capital market perspective, Oracle’s move is not only a technological iteration but also a strong response to market skepticism. Previously, due to investor concerns that generative AI might disrupt and replace complex business software, Oracle’s stock faced nearly a 40% decline earlier this year. In response, Oracle executives argued that adopting AI tools is to enable software to adapt to these changes and maintain a leading position.

Today, by rapidly integrating over 1,000 AI agents into its supply chain, finance, marketing, and service product lines, Oracle demonstrates how AI can serve as a “catalyst” rather than a “gravedigger” for the SaaS industry. This strategic transformation, which enhances business resilience through AI, reflects Oracle’s aggressive stance in responding to industry structural changes and signals that the enterprise software market is entering a new phase of AI-driven automation decision-making.