Finance teams are inundated by thousands of invoices and expense reports every month. Many don’t even have time or resources to do a three-way match on every invoice (especially not before the invoice is due), and managers often “rubber stamp” expense reports without question.
This is where artificial intelligence can help. Star Match brings far greater precision to your spend approval process than you’ve had in the past. It can match data from any list or data set to any number of systems or documents. It can also develop a machine-learning profile of online or system behavior, and compare the activity associated with a single spend transaction against it to find anomalous charges. This broadening of the definition of “match” is important as it allows finance teams to access modern systems like invoice automation, ERP, messaging, badge access, system logs, and sensor data, as well as a variety of online sources for pricing data, reputation information, public filings, regulatory lists, maps, weather, and more.