Abstract: In one embodiment, a method can access an expense line for a travel expense for an enterprise. The expense line is the subject of a procurement action under a relevant contract. The method can use a first machine learning model, determining a category associated with the expense line. The method can evaluate the expense line using the category associated with the expense line and a table of categories that are procurable with references to related travel contracts. The method can determine a match between a description field of the expense line and description fields of historic invoice records associated with travel contracts. In response to determining the match, the method can execute a responsive action for the expense line, wherein the responsive action includes generating a notification to a user, marking the expense line, and initiating a workflow to apply the contract to the expense line.

Abstract: A virtual compute instance that is communicatively coupled to a storage device comprising a database. In an embodiment, a method queries an expense pre-approval application to obtain a set of expense documents from a first computer associated with a first account that is digitally linked to a credit line account and receives the set of expense documents. The expense pre-approval application may be one of a plurality of federated applications hosted using a multi-tenant distributed computing system that comprises the virtual compute instance. The method determines expense data comprising a type of expense document, time of spend, kind of expense, and a plurality of expense charges, for each document in the set of expense documents. Based on the type of document of each expense document in the set of expense documents, the method identifies a payment gateway among a plurality of payment gateways. Each payment gateway executes a plurality of programmatic payment rails that the first account can access.

Abstract: In one embodiment, a method can access an expense line for a travel expense for an enterprise. The expense line is the subject of a procurement action under a relevant contract. The method can use a first machine learning model, determining a category associated with the expense line. The method can evaluate the expense line using the category associated with the expense line and a table of categories that are procurable with references to related travel contracts. The method can determine a match between a description field of the expense line and description fields of historic invoice records associated with travel contracts. In response to determining the match, the method can execute a responsive action for the expense line, wherein the responsive action includes generating a notification to a user, marking the expense line, and initiating a workflow to apply the contract to the expense line.