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Oct. 12, 2025, 6:14 a.m.
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Oracle Launches Role-Based AI Agents in Fusion Cloud Applications to Boost Customer Experience

Oracle has announced new role-based AI agents integrated into Oracle Fusion Cloud Applications designed to assist customer experience (CX) leaders in unlocking new revenue opportunities. These AI agents are embedded within marketing, sales, and service workflows to enhance operational efficiency and foster lasting customer relationships by automating tasks and analyzing interconnected data. “AI agents are revolutionizing customer engagements by shifting from reactive, manual, and cumbersome processes to proactive, valuable strategies that enable organizations to scale quality experiences, win more business, and maintain customer satisfaction, ” said Chris Leone, executive vice president of Applications Development at Oracle. “The new AI agents in Oracle Fusion Applications empower CX leaders to deliver personalized support, strengthen customer loyalty, and reveal new revenue opportunities through intelligent insights and autonomous automation. ” Powered by Oracle Cloud Infrastructure, these Oracle AI agents come prebuilt and are natively integrated within Oracle Fusion Applications at no extra cost.

Embedded directly into existing business workflows, they help users accelerate operations and make improved decisions. The new AI agents in Oracle Fusion Cloud Customer Experience (CX), part of Oracle Fusion Applications, encompass: Marketing: - Account Product Fit Agent: Assists marketers in prioritizing customers most likely to purchase by leveraging Ideal Customer Profile (ICP), predictive scoring, account data, and engagement signals to identify high-potential customers. - Buying Group Definition Agent: Enables marketers to better personalize strategies by persona, identifying specific industry and product-buying roles for contacts using a title-mapping algorithm. - Model Qualification Agent: Enhances marketers’ ability to target and personalize content accurately by recommending best-fit audiences through predictive modeling and evaluating whether existing data meets required criteria. Sales: - Deal Advisor Agent: Helps sellers expedite deal closures by sourcing subject matter expertise automatically, surfacing product and pricing overviews, solution guides, customer references, and use cases relevant to potential customers. - Quote Assistant Agent: Provides quick, actionable answers related to proposals to help sellers close deals faster by streamlining quoting and delivering pertinent information. - Product Recommendations Agent: Identifies cross-sell and upsell opportunities by analyzing customer history, preferences, and quote data to offer intelligent product bundling or add-ons recommendations. - Quote Summaries Agent: Enables sellers to quickly grasp key deal aspects by generating summaries of quotes detailing deal information, history, and next steps. - Contract Advisor Agent: Helps sellers rapidly understand contract documents by producing summaries of obligations and essential terms. - Lead Advisor Agent: Allows sellers to swiftly comprehend lead insights including behavior, engagement, profile details, associated accounts, and suggested next-best actions. Service:



Brief news summary

Oracle has introduced role-based AI agents in its Fusion Cloud Applications to improve customer experience (CX) management and generate new revenue streams. These AI agents, integrated into marketing, sales, and service workflows, automate repetitive tasks and analyze data to boost efficiency and enhance customer relationships. Built on Oracle Cloud Infrastructure and available at no extra cost, they speed up operations and enable smarter decision-making. Marketing tools like Account Product Fit and Buying Group Definition employ predictive scoring and persona targeting for customized outreach. Sales AI agents, including Deal Advisor and Quote Assistant, offer expert advice, proposal insights, and product recommendations to help close deals. Additional features summarize contracts, leads, and quotes for quicker responses. By leveraging intelligent automation and data-driven insights, Oracle’s AI agents shift CX management from reactive to proactive, delivering personalized support, increasing customer loyalty, and driving revenue growth.

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