In Trade and Supply Chain Finance, the Application Validator Agent checks completeness and policy compliance, flags non-standard terms, and offers risk-based recommendations; the SCF Program Creation Agent analyzes contracts to tailor programs, prompts for clarification, and prepares configuration packages for approval.

The rollout is expected to speed loan processing, improve efficiency, strengthen risk management, and elevate client experiences in a volatile market.

The release underscores human-in-the-loop governance as banks leverage AI to navigate volatility and risk while accelerating lending and customer interactions.

Oracle Financial Services unveils an expanded agentic AI platform for corporate banking, embedding AI capabilities and pre-built agents for treasury, trade finance, credit, and lending to automate processes and speed decision-making.

Hundreds of corporate and retail banking agents will be available within the next 12 months as part of Oracle’s agentic banking platform.

The announcement, made at the Financial Services Summit in London, positions Oracle to help banks navigate market volatility, boost growth, and enhance client service.

The AI agents operate with human-in-the-loop governance, ensuring ethical oversight while accelerating decision-making and reducing manual effort in loan processing and risk assessment.

Corporate banking is enhanced by agents like Loan Data Extraction, Financial Data Extraction, Loan Data Validation, Documents Data Extraction, and Narrative Generation, which automate data extraction, validation, risk insights, and memo drafting.

The platform enables AI experience agents to engage with clients and bankers while domain agents collaborate across workflows, creating a unified, real-time, data-driven system with improved governance and client experiences.

Trade and SCF innovations include the Application Validator Agent for document completeness and risk flags, and the SCF Program Creation Agent for tailoring program structures to contracts and finalizing setup parameters.

Oracle emphasizes a human-in-the-loop model with ongoing governance to guide AI-powered processes, ensuring precision, resiliency, and trust in corporate banking.

Key features spotlight real-time orchestration, AI governance, and enhanced efficiency, compliance, and client engagement across corporate banking workflows.