Abstract: A computer system comprising input from a plurality of data sources, performing analysis, and configured to select and apply multiple machine learning algorithms in a conduit of components to predict cost reimbursement probability and predict figure, billable line items per terms, and recommend transaction code input, order and formats. When invoked by request from an integrated client, a recommendation is retrieved by processing a query service from the system through application program interfaces and presented to a user. User acceptance and quantifiable outcomes of each transaction are used as supervisory and reinforcement functions to iterate and improve prediction, and outcomes; through subsequent applied models to monitor evolutions of system input considerations. A digital application layer provides a visual interface for the configuration of the machine signals which modulate system performance, and exhibits reporting on measurements tied to specific decisions to deliver a recommendation.