Oracle’s AI agents are woven into the fabric of its cloud applications, offering context-aware assistance and action. Oracle’s philosophy is that AI should reduce the manual workload within its software. For instance, in Oracle Cloud ERP, an AI agent might detect duplicate expense entries and automatically resolve them, or handle foreign exchange calculations during invoice processing. In Oracle CX (Customer Experience), an agent might guide a sales rep by analyzing past deal data and suggesting the next best action to close a deal (this is part of Oracle’s “Sales Coach” functionality, analogous to a personal mentor embedded in the CRM). Another domain is Oracle’s supply chain applications, where an AI agent can monitor supply chain events and autonomously re-prioritize orders or update planning parameters to avoid disruptions. Each of these agents uses Oracle’s proprietary AI models, fine-tuned on business data, and operates within set guardrails – for example, always logging actions and allowing human override. Oracle’s strategy also extends to industry-specific agents: the Oracle Health Clinical Digital Assistant is a prime example, aimed at doctors and nurses. This agent listens during patient visits (with consent), uses speech-to-text and NLP to summarize the interaction, and then updates the patient’s electronic health record – saving clinicians significant documentation time (36 Top Agentic AI Vendors in 2024 + 3 Free Options). It can also answer clinicians’ voice queries about patient history or medical guidelines on the fly. Early adopters in hospitals have noted this dramatically reduces administrative burden, giving providers more time with patients. Across finance, HR, supply chain, and healthcare, Oracle’s AI agents function as diligent digital staff, tirelessly working in the background of Oracle Fusion Cloud to enhance productivity and accuracy in enterprise operations.