Oracle has announced an expansion of its AI agent capabilities across its Fusion Applications suite, aimed at empowering finance leaders to streamline operations, accelerate business insights, and improve decision-making efficiency. The initiative marks a significant advancement in Oracle’s vision to embed artificial intelligence across its enterprise software ecosystem.
The new AI agents are designed to operate autonomously across core finance functions, helping organizations automate routine workflows, enhance forecasting accuracy, and identify actionable insights in real time. Oracle stated that these agents are built to augment the capabilities of finance professionals, allowing them to shift focus from manual data processing to strategic business analysis.
According to the company, the latest rollout builds on Oracle’s ongoing investment in generative AI and agentic automation. The agents integrate directly into Oracle Fusion Cloud Applications, covering financials, procurement, human resources, supply chain, and customer experience management. This unified architecture allows data to flow seamlessly across departments, enabling faster, more informed business decisions.
Steve Miranda, Executive Vice President of Oracle Applications Development, said the company’s new AI-powered agents represent a critical step in redefining enterprise productivity. “Our AI agents act as digital co-workers that can analyze data, recommend actions, and even execute tasks on behalf of users. By embedding them across our Fusion Applications, we’re helping organizations eliminate inefficiencies and respond to market shifts with greater agility,” he said.
The newly introduced agents come equipped with natural language interfaces, allowing finance leaders and teams to interact with systems conversationally. For example, a CFO can ask an AI agent to summarize quarterly financial performance, detect anomalies in expenses, or predict cash flow variations. The agent then accesses real-time enterprise data from Oracle’s integrated cloud platform to deliver insights instantly.
Oracle emphasized that these agents are built on robust governance and data privacy frameworks, ensuring that sensitive financial data remains secure. The agents utilize Oracle Cloud Infrastructure (OCI)’s GenAI capabilities, leveraging proprietary large language models trained on anonymized enterprise data to maintain accuracy, compliance, and ethical standards.
The new AI capabilities include Finance Agent, designed specifically for CFOs and finance teams. This agent helps identify performance trends, manage accounts payable and receivable, optimize cash positions, and provide predictive analytics for future planning. Oracle claims the system can reduce the time required for financial closing processes by up to 40 percent, freeing professionals from repetitive, time-consuming tasks.
In addition to finance, Oracle’s AI agents are also being deployed across other business domains. For instance, Procurement Agents can automatically identify supplier risks, suggest alternative sourcing options, and forecast demand. Similarly, HR Agents can assist in employee engagement analysis, onboarding, and compliance reporting, while Customer Experience Agents help sales and marketing teams analyze sentiment and personalize campaigns.
The announcement underscores Oracle’s broader strategy of embedding AI-first functionality into its enterprise applications. The company has been steadily advancing its AI roadmap through Oracle Cloud Infrastructure, Oracle Digital Assistant, and its generative AI services launched earlier this year.
Rondy Ng, Senior Vice President of Applications Development, highlighted that the new agentic framework extends the value of Oracle’s integrated platform. “Enterprises no longer want fragmented AI tools that sit outside their core systems. By embedding AI agents natively within Fusion Applications, we’re giving organizations a consistent, secure, and scalable way to operationalize intelligence across every function,” Ng said.
Industry experts view Oracle’s move as a response to growing competition among enterprise software providers such as SAP, Workday, and Microsoft, all of whom are integrating AI assistants into their ecosystems. However, Oracle’s unique advantage lies in its deep integration across business functions and unified data model, which reduces data silos and enhances model accuracy.
Market analysts also note that Oracle’s approach reflects the growing adoption of agentic AI—a paradigm where autonomous agents can perform multi-step reasoning, collaborate across applications, and complete complex tasks with minimal supervision. This shift is seen as a natural evolution from the current phase of generative AI, offering greater contextual understanding and operational independence.
A recent Gartner report predicts that by 2026, 70 percent of large enterprises will deploy agentic AI systems to manage at least one core business function. Oracle’s proactive rollout of such capabilities could position it as a leader in this emerging domain, especially among data-driven enterprises seeking scalable automation solutions.
The company’s focus on finance automation is particularly relevant in the current economic landscape, where organizations are prioritizing cost optimization and resilience. Oracle’s AI agents are built to not only automate transactions but also provide predictive insights, helping CFOs anticipate financial disruptions and make informed decisions faster.
Safra Catz, CEO of Oracle, recently stated that AI will play a defining role in the company’s future growth strategy. “Our vision is to help businesses become self-optimizing organizations where AI acts as an integral partner in every decision. With these new agents, we are bringing that vision closer to reality for finance leaders and beyond,” she said in a statement.
Oracle’s clients in sectors such as manufacturing, healthcare, retail, and banking are already piloting the AI agents to evaluate their impact on productivity and reporting accuracy. Early feedback suggests measurable improvements in turnaround times for routine finance tasks and improved accuracy in financial forecasting.
The company reaffirmed its commitment to responsible AI deployment, noting that all its agentic systems are designed to maintain human oversight. Users can approve, modify, or reject automated actions recommended by the AI agents, ensuring transparency and control in business-critical operations.
As enterprises accelerate their transition to AI-powered systems, Oracle’s latest launch reinforces its position as a frontrunner in enterprise-grade AI innovation. The new agentic capabilities aim to redefine how finance leaders leverage data—transforming insights into action and enabling organizations to operate with greater intelligence, efficiency, and foresight.
By embedding AI directly into the operational fabric of its Fusion Cloud platform, Oracle continues to advance its goal of making AI an everyday business utility, rather than an isolated technological add-on. The company’s new AI agents, tailored for finance and other enterprise functions, signal a pivotal moment in the journey toward truly intelligent business automation.