Data processing for spend control and budget management

This invention describes a software system for managing enterprise spending and budgets. It works by continuously tracking and analyzing real-time financial data from various sources. This data is then fed through a two-stage process: first, a data model checks if a spending attribute exceeds a limit, and then a second data model determines the appropriate approval process for that transaction.

Why it matters: Filed before the widespread availability of mature MLOps platforms and cloud AI services simplified the deployment and scaling of real-time predictive models for financial simulation and automated approval workflows.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, real-time data processing, multiple data models.

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