Oracle Debuts AI Agents for Corporate Banking

The new offerings, announced Tuesday (April 14), are designed to offer financial institutions and corporate banks AI-infused applications and pre-built artificial intelligence (AI) agents for treasury, trade finance, credit and lending.

“Corporate banking runs on precision, resiliency, and trust,” said Sovan Shatpathy, senior vice president, product management and development, Oracle Financial Services. “Our AI-powered platform embeds intelligence directly into mission-critical processes, accelerating decisions and strengthening governance so banks can serve clients with greater speed and confidence.”

The new corporate banking capabilities are powered by Oracle’s banking platform, which the company said features agents that can orchestrate “real-time and highly tailored” interactions backed by human expertise.

Among the new offerings is a loan data extraction agent, which aims to address the challenge of highly customized and lengthy corporate loan contracts.

There’s also a loan data validation agent, which can cross-check loan and financial information against source documents and/or internal records, conduct data integrity checks and flag anomalies to be reviewed by bankers.

Oracle also recently debuted its Fusion Agentic Applications, designed to work in customer service, supply chain and finance settings, where software agents can perform multi-step tasks with access to live business data.

As covered here recently, an article by Futurum framed this as part of a larger shift in enterprise buying, as companies increasingly want AI built into the core platforms they already use, instead of being added on through separate tools.

Oracle is launching these agents—with hundreds more due in the coming months—amid the continued adoption of agentic AI.

The PYMNTS Intelligence report “Agentic AI Breaks Out of the Sandbox” found that leaders in the banking, retail and technology industries are deploying AI agents.

Across sectors, upward of 80% of executives are interested in AI agent adoption for a common set of high-leverage needs: customer insight, product life cycle management and strategic analytics. The report also found that corporate leaders think of AI agents as a system that reasons across departments, coordinates workflow and carries out actions.

“As agentic AI takes on greater operational authority, executives are balancing efficiency gains against governance risk,” PYMNTS wrote in another report earlier this year. “CFOs see upside in allowing AI agents to adjust forecasts and recommend reallocations in near real time, particularly for cash flow optimization and cost containment.”

However, adoption is still measured, that report continued. Most finance leaders still want to see human checkpoints for things like material accounting entries, capital allocation decisions and regulatory disclosures.