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Banks, credit unions, fintechs, and other financial services providers can use SAVVI AI to build and deploy predictive models, AI applications, and agents for business decisions without building their own AI infrastructure. The platform connects to an organization’s data and existing systems, then delivers AI through tools such as Excel, APIs, JavaScript, Snowflake, and Power BI. Teams can use it to identify deposit attrition, assess lending and delinquency risk, flag ACH and payment risks, detect fraud, and find customer or member growth opportunities. SAVVI AI includes tools to design applications from templates or a wizard, connect data sources, deploy models, and track their performance. It also supports ongoing model improvement based on outcomes, with features such as explainability, audit trails, monitoring, business rules, and human review. It is suited to organizations that want to add governed AI to existing financial workflows, whether or not they have an in-house data science team.
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