Oracle Financial Services has announced the extension of its agentic AI platform into corporate banking, introducing embedded AI capabilities and agents designed to enhance efficiency, decision-making, and governance across financial institutions.
Oracle Financial Services is transforming corporate banking with new AI-driven enhancements that provide financial institutions with an enterprise-class suite of AI-infused applications and pre-built AI agents for treasury, trade finance, credit, and lending. These capabilities automate mission-critical processes and accelerate decision-making, enabling banks and their corporate clients to navigate market volatility and risk, streamline loan processing, and unlock opportunities for growth and improved service delivery.
By enabling AI experience agents to engage directly with clients and bankers, alongside domain agents that collaborate across workflows, the platform supports a transition from fragmented, manual operations to a unified, real-time, data-driven system. This shift is aimed at improving operational efficiency, compliance, and overall client experience.
“Corporate banking runs on precision, resiliency, and trust,” said Sovan Shatpathy, Senior Vice President, Product Management and Development, Oracle Financial Services.
He added, “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 newly introduced capabilities are powered by Oracle’s next-generation banking platform, which integrates AI experiences and decision-making into every stage of customer engagement and business processes. Through its agentic ecosystem, AI agents enable seamless, real-time, and tailored interactions while maintaining a human-in-the-loop approach to ensure oversight and ethical governance.
Within corporate credit, several AI agents have been introduced to address complex and data-intensive processes. The Loan Data Extraction Agent manages highly customised and lengthy corporate loan contracts by extracting and standardising key data into machine-readable formats, reducing manual effort and minimising errors.
The Financial Data Extraction Agent captures financial metrics from internal documents and structures them into consistent templates for comparison and analysis. The Loan Data Validation Agent ensures data accuracy by cross-verifying extracted information and flagging anomalies for review.
Additionally, the Documents Data Extraction Agent monitors external financial news sources related to borrowers and industry conditions, generating structured risk and sentiment insights. The Narrative Generation Agent then compiles validated data and insights to automatically draft credit memo narratives, enabling faster review and approval by bankers.
In trade and supply chain finance, the Application Validator Agent processes Bank Guarantee applications, checks for completeness, identifies non-standard clauses, and provides recommendations for approval or risk categorisation. The SCF Program Creation Agent analyses sales contracts, defines tailored supply chain finance programme structures, and prepares configuration packages for approval and execution.
These innovations represent a subset of a broader rollout, with Oracle Financial Services planning to introduce hundreds of corporate and retail banking AI agents over the next 12 months.
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