Revhub audit optimizer
Enhance compliance efforts for state revenue agencies
Collect data and produce insights to support the development of improved methods for identifying noncompliant taxpayers by utilizing the combined power of natural language processing and machine learning.
With increasing budget cuts, tax agencies struggle to sufficiently staff departments and prioritize caseloads. Through optimization, tax agencies can deploy their staff to maximize both short-term revenue and voluntary compliance. RevHub Audit Optimizer utilizes natural language processing and machine learning to identify potential noncompliance – instances of non-filers and under-reporters.