MindBridge, the leader in AI-powered financial decision intelligence, announced its integration with Snowflake, enabling finance teams to seamlessly analyze financial data for continuous, AI-powered analysis. With this new integration, organizations can securely connect MindBridge to their data without complicated processes or manual work. By leveraging secure data pipelines within the Snowflake AI Data Cloud, organizations can easily and securely use MindBridge for automated analysis, without adding complexity or risk. Risk scores and insights from MindBridge can also be leveraged in existing workflows, shortening the time to identify and act on findings and minimizing additional training or complex implementations. Every time data is updated, MindBridge automatically runs its analysis, so finance teams always have a consistent, up-to-date view of their financial risk. Key Benefits of the Integration: Simple, scalable integration – MindBridge connects directly to the Snowflake AI Data Cloud, leveraging secure data pipelines to automate analysis within existing governance frameworks. Real-time financial risk insights; Enterprise-grade security and control; Frictionless insights delivery – With automated data delivery and analysis execution, business users can access the latest results in the MindBridge UI or within their existing workflow systems, providing more flexibility to surface insights where and when they’re needed most — without disrupting established processes; Integrated risk intelligence – Risk scores and analysis results are retrieved via API back into the Snowflake platform, enabling continuous risk monitoring, deeper investigations, and integrated reporting alongside other business KPIs.