Oracle has unveiled a new suite of role-focused artificial intelligence agents within its Oracle Fusion Cloud Applications, designed to help customer experience leaders uncover fresh revenue possibilities and deliver more personalized interactions. These embedded AI tools for marketing, sales, and service functions are aimed at boosting efficiency and helping organizations strengthen their customer relationships through automated insights and intelligent workflows.
“AI agents are transforming customer engagement from reactive, manual, and cumbersome processes into highly valuable and proactive strategies that enable organizations to scale quality experiences to win more business and keep customers happy,” said Chris Leone, executive vice president of Applications Development at Oracle. “The new AI agents in Oracle Fusion Applications help CX leaders deliver personalized support, deepen customer loyalty, and unlock new revenue opportunities with intelligent insights and agentic automation.”
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Running on Oracle Cloud Infrastructure, the AI agents come prebuilt and integrated directly into Oracle Fusion Applications at no extra cost. Since they are embedded within existing business processes, they allow users to act faster and make more informed decisions without switching between systems.
In marketing operations, the new agents optimize customer targeting and engagement. The Account Product Fit Agent helps marketers recognize customers most ready to purchase by using Ideal Customer Profile data, predictive scoring, and engagement signals. The Buying Group Definition Agent enhances personalization efforts by identifying specific roles and personas behind each buying decision through a title-mapping algorithm. Meanwhile, the Model Qualification Agent refines targeting accuracy by matching predictive models with existing data to pinpoint the most relevant audiences.
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For sales teams, Oracle’s AI agents accelerate deal cycles and sharpen decision-making. The Deal Advisor Agent connects sellers to internal expertise and resources for faster deal closures. The Quote Assistant Agent simplifies proposal creation by quickly delivering the right answers and supporting data. Other tools such as the Product Recommendations Agent and Quote Summaries Agent assist sellers in identifying upselling opportunities and summarizing deal details. The Contract Advisor Agent and Lead Advisor Agent support sellers by summarizing complex documents and providing actionable insights into lead behavior and next steps.
In the service domain, Oracle’s AI agents aim to speed up resolution times and empower both customers and support teams. The Triage Agent categorizes and prioritizes service requests, while the Self-Service Agent allows customers to resolve simpler issues themselves through guided solutions. Additional agents handle automated request creation, generate work orders for field teams, and identify recurring or at-risk issues through clustering and escalation prediction analysis, ensuring faster and more proactive service.
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