- Oracle is embedding agentic AI directly into corporate banking workflows, launching pre-built agents across credit, trade finance, treasury, and lending.
- The tools target some of banking’s most manual, document-heavy processes, enabling faster decisions and allowing teams to scale output without adding headcount.
- With a human-in-the-loop approach and hundreds more agents coming, Oracle is positioning AI as operational infrastructure.
Enterprise technology company Oracle is deepening its agentic AI prowess this week. The Texas-based company announced it is adding new embedded AI capabilities and agents for its corporate bank clients.
Oracle’s new agentic AI tools will offer clients a suite of AI-infused applications and pre-built AI agents for treasury, trade finance, credit, and lending. As a result, firms can automate once-manual processes and speed decision-making, ultimately unlocking new opportunities for growth.
“Corporate banking runs on precision, resiliency, and trust,” said Oracle Financial Services Senior Vice President Sovan Shatpathy. “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 two main pillars of the new launch include corporate credit and trade and supply chain finance. The corporate credit arm has five main agents that help with data extraction from loans, financial statements, and documents, and generate credit memo reports. The trade and supply chain finance has an application validator agent that ingests bank guarantee application packages and supporting documents and delivers a risk recommendation, as well as an agent that analyzes sales contracts and designs an appropriate supply chain finance program.
Because Oracle’s agentic AI takes a human-in-the-loop approach, all decisions are supported by human expertise, maintaining oversight and ethical governance. Oracle said that these agents are among “hundreds” of other corporate and retail banking agents that will launch in the next 12 months.
Much of the AI development we’ve seen in banking over the past two years has been customer-facing, taking the form of chatbots and personalization tools. Oracle’s new push into agents removes the strain from some of the most manual, document-heavy parts of corporate banking. Instead of just offering faster memo writing, Oracle’s tools allow credit teams to handle more deals without increasing headcount, offer a standardized approach to trade finance, and provide banks a way to offer faster response time to their clients.
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