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The new OCI-native platform gives bank and insurer finance teams natural-language queries and automated anomaly detection for liquidity and rate risk
Oracle has rolled out a new AI-powered analytics platform aimed squarely at the people who worry about where a bank’s money is at 4:59 p.m. on a Friday.
The product is called Oracle Financial Services Data Intelligence Treasury Analytics. That’s a mouthful, but the pitch is simple: help treasury and finance teams at banks and insurers see their liquidity, funding and interest-rate risk more clearly, and faster.
What Oracle is actually shipping #
The platform is native to Oracle Cloud Infrastructure, or OCI. It comes packaged with analytics-ready data models, so institutions aren’t starting from a blank spreadsheet.
Two AI features headline the release. The first is the Oracle Analytics AI Assistant, which lets users ask questions in natural language.
The second feature is Auto Insights. It’s designed to surface trends and anomalies in real time without someone having to go looking for them.
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Oracle is targeting CFOs and finance teams at banks and insurance firms. The use cases it highlights include liquidity forecasting, balance-sheet optimization, interest-rate risk management and LCR.
LCR refers to the liquidity coverage ratio, a regulatory yardstick for whether a bank holds enough easily sellable assets to ride out a short burst of withdrawals.
How this fits Oracle’s treasury lineup #
This isn’t Oracle’s first pass at treasury software. Its Treasury Analytics suite saw earlier releases in 2024 covering profitability and balance-sheet management.
Oracle frames the release as part of a broader push into agentic AI paired with stronger data governance.
Product documentation also points to further enhancements on the roadmap for 2026, including a version labeled 12.1.0.0. Oracle hasn’t positioned this as a one-and-done launch.
Disclosure: This article was edited by Diego Almada Lopez. For more information on how we create and review content, see our Editorial Policy.