TECHNOLOGY
AGENTIC
The next wave of enterprise AI will be defined by customers’ ability to use AI in business-critical production systems to safely deliver breakthrough innovations, insights and productivity
Oracle’ s latest major advancement in data and analytics is the deployment of Oracle Analytics AI Agents within Oracle Analytics Cloud( OAC), natively operating across Oracle Fusion Cloud EPM data models. Moving beyond basic conversational interfaces, these domain-specific AI agents combine large language models( LLMs) with Retrieval-Augmented Generation( RAG) and semantic metadata. By incorporating organisational knowledge documents – such as internal policies, governance rules and complex financial definitions – AI agents enable business users to query complex enterprise data using natural language with high accuracy and context awareness.
Juan Loaiza Executive Vice President,
Oracle Database Technologies Oracle
Features like Descriptor ID mapping ensure that aggregations, filtering and entity resolution remain mathematically precise even when dealing with non-unique data attributes across multinational divisions. Furthermore, administrators can provide custom supplemental instructions, sample starter prompts and strict access controls to align AI outputs with corporate reporting standards. By unifying conversational AI directly with enterprise resource planning datasets, Oracle equips the Office of the CFO with continuous, real-time variance analysis, faster closing timelines and fully auditable, decision-ready financial intelligence.
92 September 2026