Oracle Expands Agentic AI Across Enterprise Workflows

Oracle is accelerating its push into agentic artificial intelligence, unveiling new capabilities across financial crime compliance, human resources, customer experience, finance and supply chain applications as competition intensifies around AI-driven automation.

Announced Thursday (April 9) at its AI World Tour, the updates aim to move enterprise software beyond passive tools into systems that can reason, decide and act, while addressing growing pressure from investors to demonstrate returns on AI investments.

The company said it is extending its Financial Crime and Compliance Management (FCCM) platform by integrating technology from Lucinity, a firm specializing in AI-driven financial crime prevention. FCCM platforms are used by banks and financial institutions to monitor transactions, detect suspicious activity and meet regulatory obligations. Oracle’s update embeds agents into its AI Investigator system to streamline case management and investigations.

These agents can surface relevant data, automate manual steps and recommend next actions across the lifecycle of a financial crime case. Oracle emphasized a “human-AI-centric” approach, meaning investigators remain in control while AI augments decision-making. The system also uses explainable AI, a method that makes algorithmic decisions transparent and auditable — a key requirement in regulated industries.

In parallel, Oracle introduced new Fusion Agentic Applications spanning customer experience and finance and supply chain functions. Built into Oracle Fusion Cloud Applications and powered by large language models (LLMs) — AI systems trained on vast datasets to understand and generate language — these tools are designed to execute business processes autonomously within predefined rules.

Use cases include contract compliance monitoring, sales and marketing optimization, cash collection, and supply chain logistics. The applications operate within existing enterprise systems, accessing data, workflows and approval structures to carry out tasks while flagging exceptions that require human intervention.

“With agentic applications that can reason, decide and act against defined objectives, finance and supply chain teams can move from passive productivity to systems that proactively carry work forward,” Steve Miranda, executive vice president of applications development at Oracle, said in a statement.

The rollout builds on Oracle’s broader agentic AI strategy. The company recently launched more than 20 agentic applications and enhanced its AI Agent Studio to help enterprises build and deploy AI-driven workflows. These efforts align with Oracle’s push to integrate AI directly into its cloud ecosystem.

The expansion comes amid financial and market pressures. Oracle has faced a stock decline, job cuts and investor scrutiny over heavy spending on AI infrastructure without clear near-term returns. Against that backdrop, Oracle’s latest announcements signal a continued bet that embedding AI agents into core business processes will drive efficiency gains and justify those investments.